3DV
Collection
Accepted papers for 3DV (International Conference on 3D Vision), one dataset per year. • 13 items • Updated
paper_id stringlengths 10 10 | title stringlengths 23 140 | paper_url stringlengths 42 42 | authors listlengths 1 17 | type stringclasses 2
values | abstract stringlengths 506 1.94k | keywords listlengths 1 8 | TL;DR stringlengths 35 250 ⌀ | submission_number int64 1 420 | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|
0ZyGFrfn9R | Radially Distorted Homographies, Revisited | https://openreview.net/forum?id=0ZyGFrfn9R | [
"Mårten Wadenbäck",
"Marcus Valtonen Örnhag",
"Johan Edstedt"
] | Poster | Homographies are among the most prevalent transformations occurring in geometric computer vision and projective geometry, and homography estimation is consequently a crucial step in a wide assortment of computer vision tasks. When working with real images, which are often afflicted with geometric distortions caused by ... | [
"homography",
"radial distortion",
"minimal solver"
] | We revisit the problem of simultaneously estimating a homography and radial distortion, and derive new fast, stable and accurate solvers for all the relevant cases. | 1 | 2508.21190 | title_snapshot |
AATCaNAsoH | DetailGen3D: Generative 3D Geometry Enhancement via Data-Dependent Flow | https://openreview.net/forum?id=AATCaNAsoH | [
"Ken Deng",
"Yuan-Chen Guo",
"Jingxiang Sun",
"Zi-Xin Zou",
"Yangguang Li",
"Xin Cai",
"Yan-Pei Cao",
"Yebin Liu",
"Ding Liang"
] | Poster | Modern 3D generation methods can rapidly create shapes from sparse or single views, but their outputs often lack geometric detail due to computational constraints. We present DetailGen3D, a generative approach specifically designed to enhance these synthetically generated 3D shapes. Our key insight is to model the coar... | [
"3D Geometry Refinement",
"Data-Dependent Flow",
"Token Matching"
] | We introduce a large flow-based 3D generative model for geometry refinement. | 4 | 2411.16820 | title_snapshot |
JVxlXIcjD0 | Quantum Multiple Rotation Averaging | https://openreview.net/forum?id=JVxlXIcjD0 | [
"Shuteng Wang",
"Natacha Kuete Meli",
"Michael Moeller",
"Vladislav Golyanik"
] | Poster | Multiple rotation averaging (MRA) is a fundamental optimization problem in 3D vision and robotics that aims to recover globally consistent absolute rotations from noisy relative measurements. Established classical methods, such as L1-IRLS and Shonan, face limitations including local minima susceptibility and reliance o... | [
"quantum annealing",
"rotation averaging"
] | a new rotation averaging algorithm using quantum annealing | 7 | 2602.10115 | title_snapshot |
KRNErxXkVa | HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation | https://openreview.net/forum?id=KRNErxXkVa | [
"Hou In Derek Pun",
"Hou In Ivan Tam",
"Austin Wang",
"Xiaoliang Huo",
"Angel X Chang",
"Manolis Savva"
] | Poster | Despite advances in indoor 3D scene layout generation, synthesizing scenes with dense object arrangements remains challenging. Existing methods focus on large furniture while neglecting smaller objects, resulting in unrealistically empty scenes. Those that place small objects typically do not honor arrangement specific... | [
"3D indoor scene generation",
"procedural modeling",
"neurosymbolic methods",
"visual programs"
] | null | 9 | 2503.16848 | title_snapshot |
24GUlu6sO0 | KaoLRM: Repurposing Pre-trained Large Reconstruction Models for Parametric 3D Face Reconstruction | https://openreview.net/forum?id=24GUlu6sO0 | [
"Qingtian Zhu",
"Xu Cao",
"Zhixiang Wang",
"Yinqiang Zheng",
"Takafumi Taketomi"
] | Poster | We propose KaoLRM to re-target the learned prior of the Large Reconstruction Model (LRM) for parametric 3D face reconstruction from single-view images.
Parametric 3D Morphable Models (3DMMs) have been widely used for facial reconstruction due to their compact and interpretable parameterization, yet existing 3DMM regres... | [
"Head Avatar",
"Large Reconstruction Model",
"Parametric Modeling"
] | null | 10 | 2601.12736 | title_snapshot |
NvrHpOgwe0 | Reconstructing Hand-Held Objects in 3D from Images and Videos | https://openreview.net/forum?id=NvrHpOgwe0 | [
"Jane Wu",
"Georgios Pavlakos",
"Georgia Gkioxari",
"Jitendra Malik"
] | Poster | Objects manipulated by the hand (i.e., manipulanda) are particularly challenging to reconstruct from Internet videos. Not only does the hand occlude much of the object, but also the object is often only visible in a small number of image pixels. At the same time, two strong anchors emerge in this setting: (1) estimated... | [
"hand-held object reconstruction; hand-object interaction; monocular reconstruction"
] | We present a scalable paradigm for hand-held object reconstruction that builds on recent breakthroughs in large language/vision models and 3D object datasets. | 12 | 2404.06507 | title_snapshot |
GBD4NzNft8 | EventNeuS: 3D Mesh Reconstruction from a Single Event Camera | https://openreview.net/forum?id=GBD4NzNft8 | [
"Shreyas Sachan",
"Viktor Rudnev",
"Mohamed Elgharib",
"Christian Theobalt",
"Vladislav Golyanik"
] | Poster | Event cameras offer a considerable alternative to RGB cameras in many scenarios. While there are recent works on event-based novel-view synthesis, dense 3D mesh reconstruction remains scarcely explored and existing event-based techniques are severely limited in their 3D reconstruction accuracy. To address this limitati... | [
"3D mesh reconstruction",
"signed distance fields"
] | learning SDFs through volumetric rendering from an event stream observing a single rigid object | 13 | 2602.03847 | title_snapshot |
p5PGrx7HbX | TRASE: Tracking-free 4D Segmentation and Editing | https://openreview.net/forum?id=p5PGrx7HbX | [
"Yun-Jin Li",
"Mariia Gladkova",
"Yan Xia",
"Daniel Cremers"
] | Poster | Understanding dynamic 3D scenes is crucial for extended reality (XR) and autonomous driving. Incorporating semantic information into 3D reconstruction enables holistic scene representations, unlocking immersive and interactive applications. To this end, we introduce TRASE, a novel tracking-free 4D segmentation method f... | [
"dynamic scene segmentation",
"novel view synthesis",
"3D Gaussian Splatting"
] | null | 15 | 2411.19290 | title_snapshot |
exKr285KEA | RGS-DR: Deferred Reflections and Residual Shading in 2D Gaussian Splatting | https://openreview.net/forum?id=exKr285KEA | [
"Georgios Kouros",
"Minye Wu",
"Tinne Tuytelaars"
] | Poster | In this work, we address specular appearance in inverse rendering using 2D Gaussian splatting with deferred shading and argue for a refinement stage to improve specular detail, thereby bridging the gap with reconstruction-only methods. Our pipeline estimates editable material properties and environment illumination whi... | [
"inverse rendering",
"gaussian splatting",
"relighting",
"scene editing"
] | Inverse rendering based on 2DGS, deferred shading, and specular residuals for glossy objects | 20 | 2504.18468 | title_snapshot |
qzYD9fKEgU | PALM: A Dataset and Baseline for Learning Multi-subject Hand Prior | https://openreview.net/forum?id=qzYD9fKEgU | [
"Zicong Fan",
"Edoardo Remelli",
"David Dimond",
"Fadime Sener",
"Liuhao Ge",
"Bugra Tekin",
"Cem Keskin",
"Shreyas Hampali"
] | Poster | The ability to grasp objects, signal with gestures, and share emotion through touch all stem from the unique capabilities of human hands. Yet creating high-quality personalized hand avatars from images remains challenging due to complex geometry, appearance, and articulation, particularly under unconstrained lighting a... | [
"dataset",
"hand avatar",
"multi-subject hand prior",
"hand personalization"
] | null | 22 | 2511.05403 | title_snapshot |
NX2IKrGF1e | Semantic-Free Procedural 3D Shapes Are Surprisingly Good Teachers | https://openreview.net/forum?id=NX2IKrGF1e | [
"Xuweiyi Chen",
"Zezhou Cheng"
] | Poster | Self-supervised learning has emerged as a promising approach for acquiring transferable 3D representations from unlabeled 3D point clouds. Unlike 2D images, which are widely accessible, acquiring 3D assets requires specialized expertise or professional 3D scanning equipment, making it difficult to scale and raising cop... | [
"3D Representation Learning",
"SSL"
] | null | 23 | 2411.17467 | title_snapshot |
3oL84lYOVi | Reflect3r: Single-View 3D Stereo Reconstruction Aided by Mirror Reflections | https://openreview.net/forum?id=3oL84lYOVi | [
"Jing Wu",
"Zirui Wang",
"Iro Laina",
"Victor Adrian Prisacariu"
] | Poster | Mirror reflections are common in everyday environments and can provide stereo information within a single capture, as the real and reflected virtual views are visible simultaneously.
We exploit this property by treating the reflection as an auxiliary view and designing a transformation that constructs a physically vali... | [
"Single-view 3D reconstruction",
"Mirror",
"Reflections"
] | null | 30 | 2509.20607 | title_snapshot |
6wE2VAAjJY | UniLiPs: Unified LiDAR Pseudo-Labeling with Geometry-Grounded Dynamic Scene Decomposition | https://openreview.net/forum?id=6wE2VAAjJY | [
"Filippo Ghilotti",
"Samuel Brucker",
"Nahku Saidy",
"Matteo Matteucci",
"Mario Bijelic",
"Felix Heide"
] | Poster | Unlabeled LiDAR logs, in autonomous driving applications, are inherently a gold mine of dense 3D geometry hiding in plain sight - yet they are almost useless without human labels, highlighting a dominant cost barrier for autonomous-perception research.
In this work we tackle this bottleneck by leveraging temporal–geom... | [
"Pseudo Labelling",
"Auto Labelling"
] | By exploiting temporal-geometric fusion across LiDAR scans, we fuse cues from 2-D foundation models to generate 3-D consistent pseudo-labels for semantic segmentation, object detection, and densified depth. | 33 | 2601.05105 | title_snapshot |
iGuaE1TalH | Text-to-3D Generation using Jensen-Shannon Score Distillation | https://openreview.net/forum?id=iGuaE1TalH | [
"Khoi Hoang Do",
"Binh-Son Hua"
] | Poster | Score distillation sampling is an effective technique to generate 3D models from text prompts, utilizing pre-trained large-scale text-to-image diffusion models as guidance. However, the produced 3D assets tend to be oversaturated, over-smoothed, and have limited diversity. These issues are a result of a reverse Kullbac... | [
"Text-to-3D Generation",
"Score Distilation",
"Jensen Shannon Divergence",
"Low-density Sampling"
] | null | 38 | 2503.10660 | title_snapshot |
F0OX4UlZHq | VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment | https://openreview.net/forum?id=F0OX4UlZHq | [
"Wenyan Cong",
"Hanqing Zhu",
"Kevin Wang",
"Jiahui Lei",
"Colton Stearns",
"Yuanhao Cai",
"Dilin Wang",
"Rakesh Ranjan",
"Matt Feiszli",
"Leonidas Guibas",
"Zhangyang Wang",
"Weiyao Wang",
"Zhiwen Fan"
] | Poster | Efficiently reconstructing 3D scenes from monocular video remains a core challenge in computer vision, vital for applications in virtual reality, robotics, and scene understanding. Recently, frame-by-frame progressive reconstruction without camera poses is commonly adopted, incurring high computational overhead and com... | [
"efficiency",
"3D reconstruction from video",
"gaussian splatting",
"hierarchy"
] | An efficient video to 3D framework that reconstructs 3D scene using <20% training time than before | 42 | 2501.01949 | title_snapshot |
ENYoCUJRgx | What does really matter in image goal navigation? | https://openreview.net/forum?id=ENYoCUJRgx | [
"Gianluca Monaci",
"Philippe Weinzaepfel",
"Christian Wolf"
] | Oral | Image goal navigation requires two different skills: firstly, core navigation skills, including the detection of free space and obstacles, and taking decisions based on an internal representation; and secondly, computing directional information by comparing visual observations to the goal image. Current state-of-the-ar... | [
"Embodied AI",
"relative pose estimation",
"navigation"
] | null | 44 | 2507.01667 | title_snapshot |
q1R4xkf0On | Inverse Rendering for High-Genus Surface Meshes from Multi-View Images | https://openreview.net/forum?id=q1R4xkf0On | [
"Xiang Gao",
"Xinmu Wang",
"Xiaolong Wu",
"Jiazhi Li",
"Jingyu Shi",
"Yu Guo",
"Yuanpeng Liu",
"Xiyun Song",
"Heather Yu",
"Zongfang Lin",
"David Gu"
] | Poster | We present a topology-informed inverse rendering approach for reconstructing high-genus surface meshes from multi-view images. Compared to 3D representations like voxels and point clouds, mesh-based representations are preferred as they enable the application of differential geometry theory and are optimized for modern... | [
"Inverse Rendering",
"Adaptive Rmeshing",
"High Genus Surface Meshes",
"Multi-views 3D Reconstruction"
] | null | 46 | 2511.18680 | title_snapshot |
WYdIJD1Vrx | GMT: Goal-Conditioned Multimodal Transformer for 6-DOF Object Trajectory Synthesis in 3D Scenes | https://openreview.net/forum?id=WYdIJD1Vrx | [
"Huajian Zeng",
"Abhishek Saroha",
"Daniel Cremers",
"Xi Wang"
] | Poster | Synthesizing controllable 6-DOF object manipulation trajectories in 3D environments is essential for enabling robots to interact with complex scenes, yet remains challenging due to the need for accurate spatial reasoning, physical feasibility, and multimodal scene understanding. Existing approaches often rely on 2D or ... | [
"object trajectory generation",
"multi-modal scene understanding"
] | a novel, effective object trajectory generation model | 47 | 2603.17993 | title_snapshot |
qSb3m6OYme | Supervising 3D Talking Head Avatars with Analysis-by-Audio-Synthesis | https://openreview.net/forum?id=qSb3m6OYme | [
"Radek Danecek",
"Carolin Schmitt",
"Senya Polikovsky",
"Michael J. Black"
] | Poster | In order to be widely applicable, speech-driven 3D head avatars must articulate their lips in accordance with speech, while also conveying the appropriate emotions with dynamically changing facial expressions. The key problem is that deterministic models produce high-quality lip-sync but without rich expressions, where... | [
"face",
"facial animation",
"speech-driven animation",
"diffusion",
"self-supervision"
] | The paper presents a novel mesh-to-speech network which produces speech audio from a 3D facial animation and then shows that using this module for supervision helps 3D talking head avatar training. | 48 | 2504.13386 | title_snapshot |
gAfTvvCBck | Uncertainty-aware 3D Edge Reconstruction with Difference of Gaussians | https://openreview.net/forum?id=gAfTvvCBck | [
"Caixia Zhou",
"Jiahao Ma",
"Yaping Huang",
"Haibin Ling",
"Jing Zhang"
] | Poster | 3D edge reconstruction from posed multi-view images remains a critical yet under-explored task. While 3D Gaussian Splatting (3DGS)-based methods have recently achieved promising performance, they face two main challenges. First, edges exhibit clear discontinuities from the background, but the intrinsic smoothness of Ga... | [
"Difference of Gaussians",
"Uncertainty",
"3D Edge Reconstruction"
] | null | 50 | null | null |
2Ujsvxj558 | GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals | https://openreview.net/forum?id=2Ujsvxj558 | [
"Mohit Mendiratta",
"Mayur Deshmukh",
"Kartik Teotia",
"Vladislav Golyanik",
"Adam Kortylewski",
"Christian Theobalt"
] | Poster | 3D Morphable Models (3DMMs) enable controllable facial geometry and expression editing for reconstruction, animation, and AR/VR, but traditional PCA-based mesh models are limited in resolution, detail, and photorealism. Neural volumetric methods improve realism but remain too slow for interactive use. Recent Gaussian S... | [
"3D Gaussians",
"Morphable face model"
] | null | 51 | 2509.02141 | title_snapshot |
uliScQpLZW | SAIL-Recon: Large SfM by Augmenting Scene Regression with Localization | https://openreview.net/forum?id=uliScQpLZW | [
"Junyuan Deng",
"Heng Li",
"Tao Xie",
"Weiqiang Ren",
"Qian Zhang",
"Ping Tan",
"Xiaoyang Guo"
] | Oral | Scene regression methods, such as VGGT, solve the Structure-from-Motion (SfM) problem by directly regressing camera poses and 3D scene structures from input images. They demonstrate impressive performance in handling images under extreme viewpoint changes. However, these methods struggle to handle a large number of inp... | [
"Structure from Motion",
"Scene Regression",
"Visual Localizaiton"
] | Solving Large SfM by Augmenting Scene Regression with Localization | 53 | 2508.17972 | title_snapshot |
Kz05OU0c8f | Learning High-Fidelity Garment Deformation via Skinning-Free Image Transfer | https://openreview.net/forum?id=Kz05OU0c8f | [
"Rong Wang",
"Wei Mao",
"Changsheng Lu",
"Hongdong Li"
] | Poster | We present a novel method for generating 3D garment deformations from given body poses, which is key to a wide range of applications, including virtual try-on and extended reality. To simplify the cloth dynamics, existing methods mostly rely on linear blend skinning to obtain low-frequency posed garment shape and only ... | [
"Garment Deformation",
"Image Transfer"
] | null | 55 | null | null |
XXenoBDKBF | Splatography: Sparse multi-view dynamic Gaussian Splatting for film-making challenges | https://openreview.net/forum?id=XXenoBDKBF | [
"Adrian Azzarelli",
"Nantheera Anantrasirichai",
"David Bull"
] | Poster | Deformable Gaussian Splatting (GS) accomplishes photorealistic dynamic 3-D reconstruction from dense multi-view video (MVV) by learning to deform a canonical GS representation. However, in filmmaking, tight budgets can result in sparse camera configurations, which limits state-of-the-art (SotA) methods when capturing c... | [
"Dynamic Gaussian Splatting",
"Sparse Dynamic Reconstruction",
"Cinematography",
"3D Reconstruction"
] | Sparse multi-view dynamic Gaussian Splatting accomplished by seperately modelling and training the foreground and background | 59 | 2511.05152 | title_judge |
M0thnYsVuq | Video Depth Propagation | https://openreview.net/forum?id=M0thnYsVuq | [
"Luigi Piccinelli",
"Thiemo Wandel",
"Christos Sakaridis",
"Wim Abbeloos",
"Luc Van Gool"
] | Poster | Depth estimation in videos is essential for visual perception in real-world applications.
However, existing methods either rely on simple frame-by-frame monocular models, leading to temporal inconsistencies and inaccuracies, or use computationally demanding temporal modeling, unsuitable for real-time applications.
Thes... | [
"Depth Estimation",
"Video",
"Monocular"
] | VeloDepth delivers real-time video depth by propagating prior-frame features with flow and residuals, enforcing temporal consistency for state-of-the-art stability and competitive accuracy. | 61 | 2512.10725 | title_snapshot |
qDUUGCGL4i | GALA: Guided Attention with Language Alignment for Open Vocabulary Gaussian Splatting | https://openreview.net/forum?id=qDUUGCGL4i | [
"Elena Alegret",
"Kunyi Li",
"Sen Wang",
"Siyun Liang",
"Michael Niemeyer",
"Stefano Gasperini",
"Nassir Navab",
"Federico Tombari"
] | Poster | 3D scene reconstruction and understanding have gained increasing popularity, yet existing methods struggle to capture fine-grained, language-aware 3D representations from 2D images. In this paper, we present GALA, a novel framework for open-vocabulary 3D scene understanding with 3D Gaussian Splatting (3DGS). GALA disti... | [
"3D Reconstruction",
"3D Scene Understanding",
"Open-Vocabulary Segmentation",
"Gaussian Splatting",
"Attention"
] | GALA is an efficient open-vocabulary 3D scene understanding framework that enhances 3D Gaussian Splatting with instance learning and language-aligned features for unified 2D/3D semantic segmentation. | 64 | 2508.14278 | title_snapshot |
UhHNN5lW67 | VoxHammer: Training-Free Precise and Coherent 3D Editing in Native 3D Space | https://openreview.net/forum?id=UhHNN5lW67 | [
"Lin Li",
"Zehuan Huang",
"Haoran Feng",
"Gengxiong Zhuang",
"Rui Chen",
"Chunchao Guo",
"Lu Sheng"
] | Oral | 3D local editing of specified regions is crucial for the game industry and robot interaction. Recent methods typically edit rendered multi-view images and then reconstruct 3D models, but they face challenges in precisely preserving unedited regions and overall coherence. Inspired by structured 3D generative models, we ... | [
"3D Editing",
"3D Generation",
"3D Diffusion Model"
] | A training-free 3D editing approach that performs precise and coherent editing in native 3D latent space instead of multi-view space. | 66 | 2508.19247 | title_snapshot |
8DXDgSKlwk | GaussianArt: Unified Modeling of Geometry and Motion for Articulated Objects | https://openreview.net/forum?id=8DXDgSKlwk | [
"Licheng Shen",
"Saining Zhang",
"Honghan Li",
"Peilin Yang",
"Zihao Huang",
"Zongzheng Zhang",
"Hao Zhao"
] | Poster | Reconstructing articulated objects is essential for building digital twins of interactive environments. However, prior methods typically decouple geometry and motion by first reconstructing object shape in distinct states and then estimating articulation through post-hoc alignment. This separation complicates the recon... | [
"Gaussian Splatting",
"Articulated Objects",
"Digital twins"
] | null | 70 | 2508.14891 | title_snapshot |
ymzyZ29H0r | Rethinking Metrics and Diffusion Architecture for 3D Point Cloud Generation | https://openreview.net/forum?id=ymzyZ29H0r | [
"Matteo Bastico",
"David Ryckelynck",
"Laurent Corté",
"Yannick TILLIER",
"Etienne Decencière"
] | Poster | As 3D point clouds become a cornerstone of modern technology, the need for sophisticated generative models and reliable evaluation metrics has grown exponentially. In this work, we first expose that some commonly used metrics for evaluating generated point clouds, particularly those based on Chamfer Distance (CD), lack... | [
"3D Point Cloud Generation",
"Evaluation Metrics",
"Diffusion Models",
"Transformers"
] | Generation and Evaluation of Smoother Point Clouds with Novel and Enhanced Metrics and the Diffusion Point Transformer Architecture | 72 | 2511.05308 | title_snapshot |
qNMzVJLVjX | Tesselation GS: Neural Mesh Gaussians for Robust Monocular Reconstruction of Dynamic Objects | https://openreview.net/forum?id=qNMzVJLVjX | [
"Shuohan Tao",
"Boyao Zhou",
"Hanzhang Tu",
"Yuwang Wang",
"Yebin Liu"
] | Poster | 3D Gaussian Splatting (GS) enables highly photorealistic scene reconstruction from posed image sequences but struggles with viewpoint extrapolation due to its anisotropic nature, leading to overfitting and poor generalization, particularly in sparse-view and dynamic scene reconstruction. We propose Tessellation GS, a s... | [
"4D Reconstruction",
"Dynamic Reconstruction",
"Monocular Reconstruction",
"3D Gaussian Splatting"
] | Our work accurately reconstruct 4D information from monocular video with challenging setup (static or slow camera motion). | 74 | 2512.07381 | title_judge |
ZaRdmvvkvF | UniGaussian: Driving Scene Reconstruction from Multiple Camera Models via Unified Gaussian Representations | https://openreview.net/forum?id=ZaRdmvvkvF | [
"Yuan Ren",
"Guile Wu",
"Runhao Li",
"Zheyuan Yang",
"Yibo Liu",
"Xingxin Chen",
"Tongtong Cao",
"Bingbing Liu"
] | Poster | Urban scene reconstruction is crucial for real-world autonomous driving simulators. Although existing methods have achieved photorealistic reconstruction, they mostly focus on pinhole cameras and neglect fisheye cameras. In fact, how to effectively simulate fisheye cameras in driving scenes remains an unsolved problem.... | [
"Fisheye Camera",
"3D Gaussian splatting",
"multiple camera models",
"scene reconstruction"
] | This work presents a novel approach that learns unified 3D Gaussian representations from multiple camera models for urban scene reconstruction in autonomous driving. | 75 | 2411.15355 | title_snapshot |
7F0VQ1i5Zr | SCENIC: Scene-aware Semantic Navigation with Instruction-guided Control | https://openreview.net/forum?id=7F0VQ1i5Zr | [
"Xiaohan Zhang",
"Sebastian Starke",
"Vladimir Guzov",
"Zhensong Zhang",
"Eduardo Pérez-Pellitero",
"Gerard Pons-Moll"
] | Poster | Synthesizing natural human motion that adapts to complex environments while allowing creative control remains a fundamental challenge in motion synthesis. Existing models often fall short, either by assuming flat terrain or lacking the ability to control motion semantics through text. To address these limitations, we i... | [
"Human Motion Synthesis; Human-scene Interaction; Diffusion Model"
] | null | 77 | 2412.15664 | title_snapshot |
e4Hyvre4Wa | Dense Motion Captioning | https://openreview.net/forum?id=e4Hyvre4Wa | [
"Shiyao Xu",
"Benedetta Liberatori",
"Gül Varol",
"Paolo Rota"
] | Poster | Recent advances in 3D human motion and language integration have primarily focused on text-to-motion generation, leaving the task of motion understanding relatively unexplored.
We introduce Dense Motion Captioning, a novel task that aims to temporally localize and caption actions within 3D human motion sequences.
Curr... | [
"dense motion captioning",
"human motion understanding",
"motion captioning"
] | We propose the task of dense motion captioning and the first dataset combined with a simple model. | 81 | 2511.05369 | title_snapshot |
26S2CwuAf4 | Online Video Depth Anything: Temporally-Consistent Depth Prediction with Low Memory Consumption | https://openreview.net/forum?id=26S2CwuAf4 | [
"Johann-Friedrich Feiden",
"Tim Küchler",
"Denis Zavadski",
"Bogdan Savchynskyy",
"Carsten Rother"
] | Poster | Depth estimation from monocular video has become a key component of many real-world computer vision systems. Recently, Video Depth Anything (VDA) has demonstrated strong performance on long video sequences. However, its reliance on batch processing prohibits its use in an online setting. In this work, we overcome this ... | [
"Online Video Depth Estimation",
"Edge Device"
] | null | 82 | 2510.09182 | title_snapshot |
COPq80tRPd | LOSC: LiDAR Open-voc Segmentation Consolidator | https://openreview.net/forum?id=COPq80tRPd | [
"Nermin Samet",
"Gilles Puy",
"Renaud Marlet"
] | Oral | We study the use of image-based Vision-Language Models (VLMs) for open-vocabulary segmentation of lidar scans in driving settings. Classically, image semantics can be back-projected onto 3D point clouds. Yet, resulting point labels are noisy and sparse. We consolidate these labels to enforce both spatio-temporal consis... | [
"LiDAR segmentation",
"LiDAR semantic segmentation",
"LiDAR panoptic segmentation",
"3D scene understanding",
"VLM",
"open-vocabulary",
"zero-shot"
] | A simple, annotation-free pipeline that achieves SOTA semantic & panoptic LiDAR segmentation on nuScenes and SemanticKITTI, outperforming even image-dependent methods. | 86 | 2507.07605 | title_snapshot |
W8c3q3DGYN | 3D CoCa: Contrastive Learners are 3D Captioners | https://openreview.net/forum?id=W8c3q3DGYN | [
"Ting Huang",
"Zeyu Zhang",
"Yemin Wang",
"Hao Tang"
] | Poster | 3D captioning, which aims to describe the content of 3D scenes in natural language, remains highly challenging due to the inherent sparsity of point clouds and weak cross-modal alignment in existing methods.
To address these challenges, we propose **3D CoCa**, a novel unified framework that seamlessly combines contrast... | [
"3D Captioning",
"Contrastive Learning",
"Multimodal Vision-Language Model"
] | null | 87 | 2504.09518 | title_snapshot |
caxyd2MdnJ | Structurally Disentangled Feature Fields Distillation for 3D Understanding and Editing | https://openreview.net/forum?id=caxyd2MdnJ | [
"Yoel Levy",
"David Shavin",
"Itai Lang",
"Sagie Benaim"
] | Poster | Recent work demonstrated the ability to leverage or distill pre-trained 2D features obtained using large pre-trained 2D foundation models into 3D features, enabling impressive 3D editing and understanding capabilities with only 2D supervision. While powerful, such features contain significant view-dependent components,... | [
"Neural Radiance Fields",
"3D Segmentation",
"3D Editing",
"Feature Distillation"
] | We distill 2D features into a structurally disentangled feature field that separates view-dependent and view-independent components, leading to improved 3D segmentation and higher-fidelity editing capabilities. | 88 | 2502.14789 | title_snapshot |
bKPBJHONz6 | Masked Modeling for Human Motion Recovery under Occlusions | https://openreview.net/forum?id=bKPBJHONz6 | [
"Zhiyin Qian",
"Siwei Zhang",
"Bharat Lal Bhatnagar",
"Federica Bogo",
"Siyu Tang"
] | Poster | Human motion reconstruction from monocular videos is a fundamental challenge in computer vision, with broad applications in AR/VR, robotics, and digital content creation, but remains challenging under frequent occlusions in real-world settings.Existing regression-based methods are efficient but fragile to missing obser... | [
"Human motion recovery; Human motion generation"
] | Robust human motion recovery under occlusion with generative masked modeling | 89 | 2601.16079 | title_snapshot |
W6Y10yeedA | ViSTA-SLAM: Visual SLAM with Symmetric Two-view Association | https://openreview.net/forum?id=W6Y10yeedA | [
"Ganlin Zhang",
"Shenhan Qian",
"Xi Wang",
"Daniel Cremers"
] | Poster | We present ViSTA-SLAM as a real-time monocular visual SLAM system that operates without requiring camera intrinsics, making it broadly applicable across diverse camera setups. At its core, the system employs a lightweight symmetric two-view association (STA) model as the frontend, which simultaneously estimates relativ... | [
"Visual SLAM"
] | We propose a real-time, intrinsics-free monocular SLAM with a lightweight symmetric two-view frontend and a Sim(3) pose graph backend, achieving state-of-the-art tracking and dense 3D reconstruction | 94 | 2509.01584 | title_snapshot |
rIeputhlON | Structure-grounded Training Strategies Aid Generalization in Stereo Matching | https://openreview.net/forum?id=rIeputhlON | [
"Liangxun Ou",
"Yuhui Liu",
"Zhenyang Li",
"Xiaoyang Bai",
"YIFAN PENG"
] | Poster | Stereo matching networks can suffer from generalization challenges when trained on synthetic data and deployed in real-world settings.
While existing methods rely on fine-tuning or pre-trained vision foundation models for cross-domain robustness, we revisit this gap from a training perspective and explore a structure-... | [
"Stereo Matching",
"Generalization",
"Data Augmentation",
"Training Strategy"
] | We explore a structure-grounded training design with three strategies that directly improves generalization of RNN-based stereo matching models using only a limited amount of synthetic stereo data. | 95 | null | null |
lfZpGTUJCv | SpatialGen: Layout-guided 3D Indoor Scene Generation | https://openreview.net/forum?id=lfZpGTUJCv | [
"Chuan Fang",
"Heng Li",
"Yixun Liang",
"Jia Zheng",
"Yongsen Mao",
"Yuan Liu",
"Rui Tang",
"Zihan Zhou",
"Ping Tan"
] | Poster | Creating high-fidelity 3D models of indoor environments is essential for applications in design, virtual reality, and robotics. However, manual 3D modeling remains time-consuming and labor-intensive. While recent advances in generative AI have enabled automated scene synthesis, existing methods often face challenges in... | [
"indoor scene generation",
"3D semantic layout",
"multi-view multi-modal diffusion."
] | This paper presents SpatialGen, a layout-guided multi-view multi-modal diffusion model for 3D indoor scene generation. | 98 | 2509.14981 | title_snapshot |
9I15MNZccs | MoAngelo: Motion-Aware Neural Surface Reconstruction for Dynamic Scenes | https://openreview.net/forum?id=9I15MNZccs | [
"Mohamed Ebbed",
"Zorah Lähner"
] | Poster | Dynamic scene reconstruction from multi-view videos remains a fundamental challenge in computer vision. While recent neural surface reconstruction methods have achieved remarkable results in static 3D reconstruction, extending these approaches with comparable quality for dynamic scenes introduces significant computatio... | [
"3D Reconstruction",
"4D Recontruction",
"Neural Implicit Representations",
"Neural SDFs",
"Geometry"
] | A method to recover high quality geometry of a dynamic scene given multi-view RGB videos | 100 | 2509.15892 | title_snapshot |
Cd9UFpiDmW | Visibility-Aware Language Aggregation for Open-Vocabulary Segmentation in 3D Gaussian Splatting | https://openreview.net/forum?id=Cd9UFpiDmW | [
"Sen Wang",
"Kunyi Li",
"Siyun Liang",
"Elena Alegret",
"Jing Ma",
"Nassir Navab",
"Stefano Gasperini"
] | Poster | Recently, distilling open-vocabulary language features from 2D images into 3D Gaussians has attracted significant attention. Although existing methods achieve impressive language-based interactions with 3D scenes, we observe two fundamental issues: background Gaussians, which contribute negligibly to a rendered pixel, ... | [
"3D Reconstruction",
"3D Scene Understanding",
"Open-Vocabulary Segmentation",
"3D Gaussian Splatting"
] | We fuse noisy, view-dependent 2D language features into 3D Gaussians via visibility-aware gating and a streaming, weighted geometric median, yielding sharper boundaries and cross-view-consistent open-vocabulary 3D semantics. | 101 | 2509.05515 | title_snapshot |
g73GP9e5Xu | NeuralFur: Animal Fur Reconstruction from Multi-view Images | https://openreview.net/forum?id=g73GP9e5Xu | [
"Vanessa Skliarova",
"Berna Kabadayi",
"Anastasios Yiannakidis",
"Giorgio Becherini",
"Michael J. Black",
"Justus Thies"
] | Oral | Reconstructing realistic animal fur geometry from images is a challenging task due to the fine-scale details, self-occlusion, and view-dependent appearance of fur. In contrast to human hairstyle reconstruction, there are also no datasets that can be leveraged to learn a fur prior for different animals. In this work, we... | [
"fur modeling",
"animal reconstruction"
] | NeuralFur: Animal Fur Reconstruction from Multi-view Images | 103 | 2601.12481 | title_snapshot |
VlxoTrN71u | Look Around and Pay Attention: Multi-camera Point Tracking Reimagined with Transformers | https://openreview.net/forum?id=VlxoTrN71u | [
"Bishoy Galoaa",
"Xiangyu Bai",
"Shayda Moezzi",
"Utsav Nandi",
"Sai Siddhartha Vivek Dhir Rangoju",
"Somaieh Amraee",
"Sarah Ostadabbas"
] | Oral | This paper presents LAPA (Look Around and Pay Attention), a novel end-to-end transformer-based architecture for multi-camera point tracking that integrates appearance-based matching with geometric constraints. Traditional pipelines decouple detection, association, and tracking, leading to error propagation and temporal... | [
"Multi-camera point tracking",
"3D point correspondence",
"Volumetric attention",
"Multi-view geometry",
"3D trajectory reconstruction",
"Cross-view matching",
"Structure from motion"
] | We introduce LAPA, the first end-to-end transformer architecture for multi-camera point tracking that uses volumetric attention to maintain consistent 3D trajectories across views and through occlusions. | 105 | 2512.04213 | title_snapshot |
aq7uMwZiX1 | Open Vocabulary Monocular 3D Object Detection | https://openreview.net/forum?id=aq7uMwZiX1 | [
"Jin Yao",
"Hao Gu",
"Xuweiyi Chen",
"Jiayun Wang",
"Zezhou Cheng"
] | Poster | We propose and study open-vocabulary monocular 3D detection, a novel task that aims to detect objects of any categories in metric 3D space from a single RGB image. Existing 3D object detectors either rely on costly sensors such as LiDAR or multi-view setups, or remain confined to closed vocabularies settings with limit... | [
"3D Object Detection",
"Monocular 3D Object Detection",
"Open Vocabulary"
] | This work explores 3D object detection from single images without predefined categories by lifting open-vocabulary 2D detectors into 3D space. | 107 | 2411.16833 | title_snapshot |
XNxLDhy0nN | LegacyAvatars: Volumetric Face Avatars For Traditional Graphics Pipelines | https://openreview.net/forum?id=XNxLDhy0nN | [
"Safa C. Medin",
"Gengyan Li",
"Ziqian Bai",
"Ruofei Du",
"Leonhard Helminger",
"Yinda Zhang",
"Stephan J. Garbin",
"Philip L. Davidson",
"Gregory W. Wornell",
"Thabo Beeler",
"Abhimitra Meka"
] | Poster | We introduce a novel representation for efficient classical rendering of photorealistic 3D face avatars. Leveraging recent advances in radiance fields anchored to parametric face models, our approach achieves controllable volumetric rendering of complex facial features, including hair, skin, and eyes. At enrollment tim... | [
"head avatars",
"neural rendering"
] | We present a real-time volumetric face avatar method that is natively compatible with existing streaming systems and legacy graphics platforms | 109 | 2601.12285 | title_snapshot |
IVweUmBvFC | NeuSEditor: From Multi-View Images to Text-Guided Neural Surface Edits | https://openreview.net/forum?id=IVweUmBvFC | [
"Nail Ibrahimli",
"Julian F. P. Kooij",
"Liangliang Nan"
] | Poster | Implicit surface representations are valued for their compactness and continuity, but they pose significant challenges for editing. Despite recent advancements, existing methods often fail to preserve identity and maintain geometric consistency during editing. To address these challenges, we present NeuSEditor, a nov... | [
"neural rendering + diffusion models + 3D scene editing + implicit fields + multi-view data"
] | null | 110 | 2505.10827 | title_snapshot |
ARdBBXtsy7 | SAMa: Material-aware 3D Selection and Segmentation | https://openreview.net/forum?id=ARdBBXtsy7 | [
"Michael Fischer",
"Iliyan Georgiev",
"Thibault Groueix",
"Vladimir Kim",
"Tobias Ritschel",
"Valentin Deschaintre"
] | Poster | Decomposing 3D assets into material parts is a common task for artists, yet remains a highly manual process. In this
work, we introduce Select Any Material (SAMa), a material selection approach for in-the-wild objects in arbitrary 3D representations. Building on SAM2’s video prior, we construct a material-centric video... | [
"material selection",
"materials",
"3D selection",
"material segmentation",
"object segmentation"
] | We re-purpose the multi-view consistency of a 2D video model to achieve fast, efficient and 3D-consistent material selection. | 111 | 2411.19322 | title_snapshot |
sncanvgvUn | Gaussian Wardrobe: Compositional 3D Gaussian Avatars for Free-Form Virtual Try-on | https://openreview.net/forum?id=sncanvgvUn | [
"Zhiyi Chen",
"Hsuan-I Ho",
"Tianjian Jiang",
"Jie Song",
"Manuel Kaufmann",
"Chen Guo"
] | Poster | We introduce Gaussian Wardrobe, a novel framework to digitalize compositional 3D neural avatars from multi-view videos. Existing methods for 3D neural avatars typically treat the human body and clothing as an inseparable entity. However, this paradigm fails to capture the dynamics of complex free-form garments and limi... | [
"3D Avatars",
"Digital Humans",
"3D Gaussians",
"Virtual Try-on",
"Clothing",
"Animation"
] | Gaussian Wardrobe is a novel approach to digitalize compositional 3D Gaussian avatars from multi-view video, allowing for 3D virtual try-on. | 112 | 2603.04290 | title_snapshot |
lRjg2HWAcj | Finding NeMO: A Geometry-Aware Representation of Template Views for Few-Shot Perception | https://openreview.net/forum?id=lRjg2HWAcj | [
"Sebastian Jung",
"Leonard Klüpfel",
"Rudolph Triebel",
"Maximilian Durner"
] | Oral | We present Neural Memory Object (NeMO), a novel object-centric representation that can be used to detect, segment and estimate the 6DoF pose of objects unseen during training using RGB images. Our method consists of an encoder that requires only a few RGB template views depicting an object to generate a sparse object-l... | [
"Few-Shot",
"One-Shot",
"6DoF Object Pose Estimation",
"Object Detection",
"Object Segmentation",
"Object Reconstruction"
] | Combining RGB Template Images of unseen objects into a Geometric Representation to perform Detection, Segmentation and Pose Estimation without retraining. | 115 | 2602.04343 | title_snapshot |
UQHiAuI2mO | J-NeuS: Joint field optimization for Neural Surface reconstruction in urban scenes with limited image overlap | https://openreview.net/forum?id=UQHiAuI2mO | [
"Fusang WANG",
"Hala Djeghim",
"Fabien Moutarde",
"Désiré Sidibé"
] | Poster | Reconstructing the surrounding surface geometry from recorded driving sequences poses a significant challenge due to the limited image overlap and complex topology of urban environments. SoTA neural implicit surface reconstruction methods often struggle in such setting, either failing due to small vision overlap or exh... | [
"Surface Reconstruction",
"Autonomous Driving",
"Hybrid Radiance Fields"
] | null | 116 | 2501.03932 | title_snapshot |
rtBgTFrYcd | GSFix3D: Diffusion-Guided Repair of Novel Views in Gaussian Splatting | https://openreview.net/forum?id=rtBgTFrYcd | [
"Jiaxin Wei",
"Stefan Leutenegger",
"Simon Schaefer"
] | Poster | Recent developments in 3D Gaussian Splatting have significantly enhanced novel view synthesis, yet generating high-quality renderings from extreme novel viewpoints or partially observed regions remains challenging. Meanwhile, diffusion models exhibit strong generative capabilities, but their lack of awareness of specif... | [
"Novel view repair",
"3D reconstruction",
"3D Gaussian Splatting"
] | null | 117 | 2508.14717 | title_snapshot |
mM1G4RNcOV | Dream, Lift, Animate: From Single Images to Animatable Gaussian Avatars | https://openreview.net/forum?id=mM1G4RNcOV | [
"Marcel C. Buehler",
"Ye Yuan",
"Xueting Li",
"Yangyi Huang",
"Koki Nagano",
"Umar Iqbal"
] | Poster | We introduce Dream, Lift, Animate (DLA), a novel framework that reconstructs animatable 3D human avatars from a single image. This is achieved by leveraging multi-view generation, 3D Gaussian lifting, and pose-aware UV-space mapping of 3D Gaussians. Given an image, we first dream plausible multi-views using a video dif... | [
"Animatable Human Avatar",
"One-shot avatar",
"human reconstruction",
"UV mapping"
] | Feedforward animatable human avatar from a single image | 125 | 2507.15979 | title_snapshot |
QXlKp7PPd7 | Enhancing 3D Object Tracking via Dual-Context Propagation and Temporal Context Fusion | https://openreview.net/forum?id=QXlKp7PPd7 | [
"Peijing Jiang",
"Yuanping Zhang",
"Jinlong Pang",
"Zhongjun Lin"
] | Poster | Point cloud-based 3D single object tracking (3D SOT) plays a pivotal role in applications such as autonomous driving and robotic vision. Despite recent progress, most existing approaches rely solely on current-frame features for target localization. This approach overlooks temporal information that is crucial for robus... | [
"3D object tracking",
"feature matching",
"dual-context propagation",
"temporal fusion",
"cross attention"
] | DT-Tracker boosts 3D object tracking robustness via bidirectional feature propagation and adaptive temporal fusion, handling occlusion and appearance changes effectively. | 126 | null | null |
4NxONFB4nI | MonoSISTR: Monocular 3D Object Detection via Staged Iterative Structure and Target Refinement | https://openreview.net/forum?id=4NxONFB4nI | [
"Genlin Zhou",
"Cheng Feng",
"Feng Lu",
"Zige Wang",
"Zhen Chen",
"Congxuan Zhang"
] | Poster | Monocular 3D object detection aims to predict object category, position, size, and orientation from a single RGB image. Existing DETR-based monocular 3D detectors suffer from maintaining consistent high-confidence responses due to weak or incomplete target features, resulting in information loss for distant and occlude... | [
"Monocular 3D detector",
"detection transformer"
] | null | 127 | null | null |
IW5suzg9zn | Improving Multi-View Reconstruction via Texture-Guided Gaussian-Mesh Joint Optimization | https://openreview.net/forum?id=IW5suzg9zn | [
"Zhejia Cai",
"Puhua Jiang",
"Shiwei Mao",
"Hongkun Cao",
"Ruqi Huang"
] | Poster | Reconstructing real-world objects from multi-view images is essential for applications in 3D editing, AR/VR, and digital content creation. Existing methods typically prioritize either geometric accuracy (Multi-View Stereo) or photorealistic rendering (Novel View Synthesis), often decoupling geometry and appearance opti... | [
"Multi-view Reconstruction",
"3DGS",
"Remeshing",
"Relighting."
] | null | 130 | 2511.03950 | title_snapshot |
ypBfokcXvA | INTERIORAGENT: LLM Agent for Interior Design aware 3D Layout Generation | https://openreview.net/forum?id=ypBfokcXvA | [
"Kunal Gupta",
"Ishit Mehta",
"Kun Wang",
"Nicholas Chua",
"Abhimanyu Krishna",
"Yan Deng",
"Ravi Ramamoorthi",
"Manmohan Chandraker"
] | Poster | Creating interior layout designs has numerous applications, including virtual reality, architectural visualization and real estate planning. Generating realistic and functional indoor scenes requires a nuanced understanding of spatial configurations and human-centered design principles. We propose InteriorAgent, an LLM... | [
"LLM Agent",
"3D Generation",
"Interior Design"
] | 3D indoor scene generation using an LLM Agent which uses an interior-design aware domain specific language and thus gets awesome results. | 133 | null | null |
09WlFpCoc3 | CamC2V: Context-aware Controllable Video Generation | https://openreview.net/forum?id=09WlFpCoc3 | [
"Luis Denninger",
"Sina Mokhtarzadeh Azar",
"Juergen Gall"
] | Poster | Recently, image-to-video (I2V) diffusion models have demonstrated impressive scene understanding and generative quality, incorporating image conditions to guide generation. However, these models primarily animate static images without extending beyond their provided context. Introducing additional constraints, such as ... | [
"Diffusion Models",
"Camera-controlled Generation",
"Context-aware Generation"
] | null | 137 | 2504.06022 | title_snapshot |
RsdOUMBVz9 | CropCraft: Complete Structural Characterization of Crop Plants from Images | https://openreview.net/forum?id=RsdOUMBVz9 | [
"Albert J. Zhai",
"Xinlei Wang",
"Kaiyuan Li",
"Zhao Jiang",
"Junxiong Zhou",
"Sheng Wang",
"Zhenong Jin",
"Kaiyu Guan",
"Shenlong Wang"
] | Oral | The ability to automatically build 3D digital twins of plants from images has countless applications in agriculture, environmental science, robotics, and other fields. However, current 3D reconstruction methods fail to recover complete shapes of plants due to heavy occlusion and complex geometries. In this work, we pre... | [
"shape analysis",
"procedural modeling",
"agriculture",
"plants"
] | We propose a method that produces complete, biologically-grounded 3D models of crop canopies from images despite heavy occlusion. | 138 | 2411.09693 | title_snapshot |
E8aqz5lrRN | AvatarTex: High-Fidelity Facial Texture Reconstruction from Single-Image Stylized Avatars | https://openreview.net/forum?id=E8aqz5lrRN | [
"Yuda Qiu",
"Xiao Zitong",
"Yiwei Zuo",
"Zisheng Ye",
"Weikai Chen",
"Xiaoguang Han"
] | Poster | We present AvatarTex, a high-fidelity facial texture reconstruction framework capable of generating both stylized and photorealistic textures from a single image. Existing methods struggle with stylized avatars due to the lack of diverse multi-style datasets and challenges in maintaining geometric consistency in non-st... | [
"Stylized Human Face",
"Facial Texture"
] | null | 143 | 2511.06721 | title_snapshot |
HgLbN4tt4n | InterPose: Learning to Generate Human-Object Interactions from Large-Scale Web Videos | https://openreview.net/forum?id=HgLbN4tt4n | [
"Yangsong Zhang",
"Abdul Ahad Butt",
"Gül Varol",
"Ivan Laptev"
] | Poster | Human motion generation has shown great advances thanks to the recent diffusion models trained on large-scale motion capture data.
Most of existing works, however, currently target animation of isolated people in empty scenes. Meanwhile, synthesizing realistic human–object interactions in complex 3D scenes remains a c... | [
"3D human motion dataset",
"Human object interaction"
] | null | 144 | 2509.00767 | title_snapshot |
jRjtk4U30i | FastMesh: Efficient Artistic Mesh Generation via Component Decoupling | https://openreview.net/forum?id=jRjtk4U30i | [
"Jeonghwan Kim",
"Yushi LAN",
"Armando Fortes",
"Yongwei Chen",
"Xingang Pan"
] | Poster | Recent mesh generation approaches typically tokenize triangle meshes into sequences of tokens and train autoregressive models to generate these tokens sequentially. Despite substantial progress, such token sequences inevitably reuse vertices multiple times to fully represent manifold meshes, as each vertex is shared by... | [
"Mesh Generation"
] | Efficient artistic mesh generation via component decoupling—using ~23% of the tokens and achieving 8× faster, higher-fidelity results. | 145 | 2508.19188 | title_snapshot |
zkUPdTWVn2 | Revisiting Depth Representations for Feed-Forward 3D Gaussian Splatting | https://openreview.net/forum?id=zkUPdTWVn2 | [
"Duochao Shi",
"Weijie Wang",
"Donny Y. Chen",
"Zeyu Zhang",
"Jia-Wang Bian",
"Bohan Zhuang"
] | Poster | Depth maps are widely used in feed-forward 3D Gaussian Splatting (3DGS) pipelines by unprojecting them into 3D point clouds for novel view synthesis. This approach offers advantages such as efficient training, the use of known camera poses, and accurate geometry estimation. However, depth discontinuities, which are par... | [
"feed-forward 3dgs",
"novel view synthesis",
"point maps",
"multi-view stereo"
] | We introduce PM-Loss, a novel regularization loss based on a learned point map for feed-forward 3DGS. | 146 | 2506.05327 | title_snapshot |
BwOpEUU4T1 | M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion | https://openreview.net/forum?id=BwOpEUU4T1 | [
"Nina Shvetsova",
"Goutam Bhat",
"Prune Truong",
"Hilde Kuehne",
"Federico Tombari"
] | Poster | We tackle the problem of monocular-to-stereo video conversion and propose a novel architecture for inpainting and refinement of the warped right view obtained by depth-based reprojection of the input left view.
We extend the Stable Video Diffusion (SVD) model to utilize the input left video, the warped right video, an... | [
"Stereo Video Conversion",
"Diffusion Models",
"Monocular-to-Stereo Video Generation"
] | null | 147 | 2505.16565 | title_snapshot |
GyAb4NJwiq | SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians | https://openreview.net/forum?id=GyAb4NJwiq | [
"Siyun Liang",
"Sen Wang",
"Kunyi Li",
"Michael Niemeyer",
"Stefano Gasperini",
"Hendrik Lensch",
"Nassir Navab",
"Federico Tombari"
] | Oral | 3D Gaussian Splatting has recently gained traction for its efficient training and real-time rendering. While its vanilla representation is mainly designed for view synthesis, recent works extended it to scene understanding with language features. However, storing additional high-dimensional features per Gaussian for se... | [
"3D Gaussian Splatting",
"Open-Vocabulary Understanding",
"Semantic Segmentation"
] | We embed high-dimensional language and semantic features into 3D Gaussian Splatting scenes for open-vocabulary and segmentation tasks using a superpoint-like representation. | 148 | 2412.10231 | title_snapshot |
8zg3J03uJF | Real-Time Facial Animation of Gaussian Head Avatars via Mocap-to-Parametric Expression Mapping | https://openreview.net/forum?id=8zg3J03uJF | [
"I-Hsin Chen",
"Sheng-Yen Huang",
"Yi-ping Hung"
] | Poster | We present a real-time system for animating photorealistic 3D Gaussian head avatars driven by motion data from consumer facial mocap systems. At the core of our framework is an efficient regression model that maps mocap-derived blendshape parameters to the expression space of parametric face models, enabling direct con... | [
"Real-time facial animation",
"Gaussian head avatars",
"Facial motion capture",
"Parametric face models",
"Expression mapping",
"Expression regularization",
"Cross-identity reenactment"
] | We bridge consumer-grade facial mocap and photorealistic Gaussian avatars through a lightweight regression guided by expression regularization, achieving superior stability and quality over fitting-based baselines. | 149 | null | null |
ymClQqU3is | Is clustering enough for LiDAR instance segmentation? A state-of-the-art training-free baseline | https://openreview.net/forum?id=ymClQqU3is | [
"Corentin Sautier",
"Gilles Puy",
"Alexandre Boulch",
"Renaud Marlet",
"Vincent Lepetit"
] | Poster | Panoptic segmentation of LiDAR point clouds is fundamental to outdoor scene understanding, with autonomous driving being a primary application. While state-of-the-art approaches typically rely on end-to-end deep learning architectures and extensive manual annotations of instances, the significant cost and time investme... | [
"panoptic segmentation",
"instance segmentation",
"lidar",
"unsupervised"
] | This paper proposes a new instance head baseline with no label and no training that reaches state of the art panoptic segmentation | 151 | 2503.13203 | title_snapshot |
sHFFQTBwfa | GazeD: Context-Aware Diffusion for Accurate 3D Gaze Estimation | https://openreview.net/forum?id=sHFFQTBwfa | [
"Riccardo Catalini",
"Davide Di Nucci",
"Guido Borghi",
"Davide Davoli",
"Lorenzo Garattoni",
"Gianpiero Francesca",
"Yuki Kawana",
"Roberto Vezzani"
] | Poster | We introduce GazeD, a new 3D gaze estimation method that jointly provides 3D gaze and human pose from a single RGB image.
Leveraging the ability of diffusion models to deal with uncertainty, it generates multiple plausible 3D gaze and pose hypotheses based on the 2D context information extracted from the input image. ... | [
"3d gaze estimation"
] | A new way to estimate the 3d gaze and the pose of humans with the same model | 152 | 2601.12948 | title_snapshot |
SOKAkXBI25 | Parametric Gaussian Human Model: Generalizable Prior for Efficient and Realistic Human Avatar Modeling | https://openreview.net/forum?id=SOKAkXBI25 | [
"Cheng Peng",
"Jingxiang Sun",
"Yushuo Chen",
"Zhaoqi Su",
"Zhuo Su",
"Yebin Liu"
] | Poster | Photorealistic and animatable human avatars are a key enabler for virtual/augmented reality, telepresence, and digital entertainment. While recent advances in 3D Gaussian Splatting (3DGS) have greatly improved rendering quality and efficiency, existing methods still face fundamental challenges, including time-consuming... | [
"Human Avatar",
"Gaussian Splatting",
"Human Animation",
"Parametric Model"
] | null | 154 | 2506.06645 | title_snapshot |
1rqjAMzq1I | NURBSFit: Robust Fitting of NURBS Surfaces to Point Clouds | https://openreview.net/forum?id=1rqjAMzq1I | [
"Lizeth Joseline Fuentes Perez",
"Florent Lafarge",
"Renato Pajarola"
] | Poster | NURBS surfaces are compact parametric representations widely used in Computer-Aided Design (CAD) modeling. Decomposing raw 3D data measurements into a set of such elements is a challenging problem that existing methods approach by learning from CAD databases to both segment synthetic data and fit parametric shapes on e... | [
"Robust fitting",
"3D point clouds",
"NURBS",
"geometric modeling"
] | null | 157 | null | null |
uk4inXoqWk | An Integer Linear Programming Approach to Geometrically Consistent Partial-Partial Shape Matching | https://openreview.net/forum?id=uk4inXoqWk | [
"Viktoria Ehm",
"Paul Roetzer",
"Florian Bernard",
"Daniel Cremers"
] | Poster | The task of establishing correspondences between two 3D shapes is a long-standing challenge in computer vision. While numerous studies address full-full and partial-full 3D shape matching, only a limited number of works have explored the partial-partial setting, very likely due to its unique challenges: we must compute... | [
"optimisation",
"shape-analysis",
"partial",
"shape-matching"
] | the first integer linear programming formalism for partial-partial 3D shape matching | 158 | 2602.06590 | title_snapshot |
z4nQmrbdcA | CAOA - Completion-Assisted Object-CAD Alignment | https://openreview.net/forum?id=z4nQmrbdcA | [
"Hiranya Garbha Kumar",
"Minhas Kamal",
"Balakrishnan Prabhakaran"
] | Poster | Accurately aligning CAD models to their corresponding objects in indoor RGB-D scans is a central challenge in 3D semantic reconstruction. The task requires estimating a 9-Degree-of-Freedom (DoF) pose—position, rotation, and scale along three axes—but is hindered by noisy and incomplete scans, as well as segmentation er... | [
"indoor semantic reconstruction",
"object-CAD alignment",
"point cloud completion",
"9-DoF pose estimation"
] | This paper presents CAOA, a context-aware point cloud completion and symmetry-aware object-CAD alignment framework with new synthetic and real-world datasets, achieving 17% better alignment than current SOTA on Scan2CAD. | 162 | 2606.18429 | title_snapshot |
BXOvpzVEQC | SocialGen: Modeling Multi-Human Social Interaction with Language Models | https://openreview.net/forum?id=BXOvpzVEQC | [
"Heng Yu",
"Juze Zhang",
"Changan Chen",
"Tiange Xiang",
"Yusu Fang",
"Juan Carlos Niebles",
"Ehsan Adeli"
] | Poster | Human interactions in everyday life are inherently social, involving engagements with diverse individuals across various contexts. Modeling these social interactions is fundamental to a wide range of real-world applications. In this paper, we introduce SocialGen, the first unified motion-language model capable of model... | [
"Social interaction",
"motion language model",
"motion generation"
] | We present SocialGen, the first unified motion-language model for multi-human interactions, with a new representation, benchmark, and dataset enabling state-of-the-art performance in social motion modeling. | 164 | 2503.22906 | title_snapshot |
QVbUsLhabg | DevilSight: Augmenting Monocular Human Avatar Reconstruction through a Virtual Perspective | https://openreview.net/forum?id=QVbUsLhabg | [
"Yushuo Chen",
"Ruizhi Shao",
"Youxin Pang",
"Hongwen Zhang",
"Xinyi Wu",
"Rihui Wu",
"Yebin Liu"
] | Poster | We present a novel framework to reconstruct human avatars from monocular videos.
Recent approaches have struggled either to capture the fine-grained dynamic details from the input or to generate plausible details at novel viewpoints, which mainly stem from the limited representational capacity of the avatar model and i... | [
"monocular human reconstruction",
"human avatar",
"diffusion models"
] | null | 170 | 2509.00403 | title_snapshot |
biIkJkdV8H | Self-Supervised Implicit Attention Priors for Point Cloud Reconstruction | https://openreview.net/forum?id=biIkJkdV8H | [
"Kyle Fogarty",
"Chenyue Cai",
"Jing Yang",
"Zhilin Guo",
"Cengiz Oztireli"
] | Poster | Recovering high-quality surfaces from irregular point cloud is ill-posed unless strong geometric priors are available. We introduce an implicit self-prior approach that distills a shape-specific prior directly from the input point cloud itself and embeds it within an implicit neural representation. This is achieved by ... | [
"Point cloud",
"Reconstruction",
"Attention",
"Self-prior"
] | This paper presents a new method for point cloud reconstruction with self-supervised implicit attention priors. | 171 | 2511.04864 | title_snapshot |
8yBHXq0Pgh | Appreciate the View: A Task-Aware Evaluation Framework for Novel View Synthesis | https://openreview.net/forum?id=8yBHXq0Pgh | [
"Saar Stern",
"Ido Sobol",
"Or Litany"
] | Poster | The goal of Novel View Synthesis (NVS) is to generate realistic images of a given content from unseen viewpoints. But how can we trust that a generated image truly reflects the intended transformation? Evaluating its reliability remains a major challenge. While recent generative models, particularly diffusion-based app... | [
"Evaluation",
"Generative novel view synthesis",
"image quality assessment",
"No reference metrics"
] | PRISM is a task-aware metric that leverages diffusion model features to assess novel view synthesis for both realism and consistency with the source view and intended camera transformation. | 172 | 2511.12675 | title_snapshot |
te4ddE9Lwm | Hyper Diffusion Avatars: Dynamic Human Avatar Generation using Network Weight Space Diffusion | https://openreview.net/forum?id=te4ddE9Lwm | [
"Dongliang Cao",
"Guoxing Sun",
"Marc Habermann",
"Florian Bernard"
] | Poster | Creating human avatars is a highly desirable yet challenging task. Recent advancements in radiance field rendering have achieved unprecedented photorealism and real-time performance for personalized dynamic human avatars. However, these approaches are typically limited to person-specific rendering—models trained on mul... | [
"3D human avatar",
"generative model"
] | Unconditional dynamic human avatar generation via network weight space diffusion | 173 | 2509.04145 | title_snapshot |
sATvXppFr9 | A Scalable Attention-Based Approach for Image-to-3D Texture Mapping | https://openreview.net/forum?id=sATvXppFr9 | [
"Arianna Rampini",
"Kanika Madan",
"Bruno Roy",
"AmirHossein Zamani",
"Derek Cheung"
] | Poster | High-quality textures are critical for realistic 3D content creation, yet existing generative methods are slow, rely on UV maps, and often fail to remain faithful to a reference image. To address these challenges, we propose a transformer-based framework that predicts a 3D texture field directly from a single image and... | [
"Texture",
"Image-to-3D"
] | null | 174 | 2509.05131 | title_snapshot |
7qO1T1p1Zt | 3D-GENERALIST: Vision-Language-Action Models for Crafting 3D Worlds | https://openreview.net/forum?id=7qO1T1p1Zt | [
"Fan-Yun Sun",
"Shengguang Wu",
"Christian Jacobsen",
"Thomas Yim",
"Haoming Zou",
"Alex Zook",
"Shangru Li",
"Yu-Hsin Chou",
"Ethem F. Can",
"Xunlei Wu",
"Clemens Eppner",
"Valts Blukis",
"Jonathan Tremblay",
"Jiajun Wu",
"Stan Birchfield",
"Nick Haber"
] | Poster | Creating 3D graphics content for immersive and interactive worlds remains labor-intensive, limiting our ability to create large-scale synthetic data that can serve as training data to foundation models. Recent methods have been proposed to alleviate this, but they often focus on one particular aspect (e.g., layout) and... | [
"3D scene generation",
"vision-language models"
] | We introduce 3D-Generalist, a framework that formulates 3D world generation as a sequential decision-making problem and employs Vision-Language Models as the policy. | 176 | 2507.06484 | title_judge |
f067h21Wv5 | ZeroHSI: Zero-Shot 4D Human-Scene Interaction by Video Generation | https://openreview.net/forum?id=f067h21Wv5 | [
"Hongjie Li",
"Hong-Xing Yu",
"Jiaman Li",
"Jiajun Wu"
] | Poster | Human-scene interaction (HSI) generation is crucial for applications in embodied AI, virtual reality, and robotics. Yet, existing methods cannot synthesize interactions in unseen environments, such as in-the-wild scenes or reconstructed scenes, as they rely on paired 3D scenes and captured human motion data for trainin... | [
"zero-shot",
"4D human-scene interaction",
"video generation"
] | null | 178 | 2412.18600 | title_snapshot |
DEN96i8I9A | Neural 4D Scene Reconstruction with Multiple One-Shot Scanning Systems | https://openreview.net/forum?id=DEN96i8I9A | [
"Ryusuke Sagawa",
"Kota Nishihara",
"Takafumi Iwaguchi",
"Hiroshi Kawasaki"
] | Poster | Recently, 3D reconstruction from multiview stereo (MVS) has advanced significantly with the introduction of neural implicit representation methods, which estimate voxel densities or signed distance fields (SDFs) to describe the 3D structure of a scene. Although such neural-based methods typically require a large number... | [
"Neural representation",
"Structured light",
"3D scan",
"Near-Light Photometric Stereo"
] | We propose an active lighting–based 3D reconstruction method using neural implicit representation, exploiting illumination constraints and multiplexed lighting to handle sparse views, textureless scenes, and dynamic low-SNR environments. | 181 | null | null |
NAlm443UhB | FreeFix: Boosting 3D Gaussian Splatting via Fine-Tuning-Free Diffusion Models | https://openreview.net/forum?id=NAlm443UhB | [
"Hongyu Zhou",
"Zisen Shao",
"Sheng Miao",
"Pan Wang",
"Dongfeng Bai",
"Bingbing Liu",
"Yiyi Liao"
] | Poster | Neural Radiance Fields and 3D Gaussian Splatting have advanced novel view synthesis, yet still rely on dense inputs and often degrade at extrapolated views. Recent approaches leverage generative models, such as diffusion models, to provide additional supervision, but face a trade-off between generalization and fidelity... | [
"3D Reconstruction",
"3D Gaussian Splatting",
"Generative Model"
] | null | 183 | 2601.20857 | title_snapshot |
6tOALaimfU | XRefine - Attention-Guided Keypoint Match Refinement | https://openreview.net/forum?id=6tOALaimfU | [
"Jan Fabian Schmid",
"Annika Hagemann"
] | Poster | Sparse keypoint matching is crucial for 3D vision tasks, yet current keypoint detectors often produce spatially inaccurate matches. Existing refinement methods mitigate this issue through alignment of matched keypoint locations, but they are typically detector-specific, requiring retraining for each keypoint detector. ... | [
"Feature Detection",
"Match Refinement",
"Deep Learning",
"Camera Pose Estimation",
"Structure From Motion"
] | XRefine is a detector-agnostic method that uses cross-attention on image patches to refine keypoint matches and enhance 3D vision accuracy across datasets. | 187 | 2601.12530 | title_snapshot |
ACPwFPNL5l | Evaluating Latent Generative Paradigms for High-Fidelity 3D Shape Completion from a Single Depth Image | https://openreview.net/forum?id=ACPwFPNL5l | [
"Matthias Humt",
"Ulrich Hillenbrand",
"Rudolph Triebel"
] | Poster | While generative models have seen significant adoption across a wide range of data modalities, including 3D data, a consensus on which model is best suited for which task has yet to be reached. Further, conditional information such as text and images to steer the generation process are frequently employed, whereas othe... | [
"shape completion",
"generative",
"depth image",
"3d",
"deep learning",
"reconstruction"
] | This work explores high-fidelity 3D shape completion from a single depth image, showing that generative models, particularly diffusion models, outperform discriminative and autoregressive models in creating realistic, multi-modal 3D shapes. | 191 | 2511.11074 | title_snapshot |
15uaLyhKG6 | X-LRM: X-ray Large Reconstruction Model for Extremely Sparse-View Computed Tomography Recovery in One Second | https://openreview.net/forum?id=15uaLyhKG6 | [
"Guofeng Zhang",
"Ruyi Zha",
"Hao He",
"Yixun Liang",
"Alan Yuille",
"Hongdong Li",
"Yuanhao Cai"
] | Poster | Sparse-view 3D CT reconstruction aims to recover volumetric structures from a limited number of 2D X-ray projections. Existing feedforward methods are constrained by the scarcity of large-scale training datasets and the absence of direct and consistent 3D representations. In this paper, we propose an X-ray Large Recons... | [
"Sparse-View Computed Tomography Reconstruction",
"Large Reconstruction Model"
] | null | 197 | 2503.06382 | title_snapshot |
cerMFinCkh | Recovering 3D Shapes from Ultra-Fast Motion-Blurred Images | https://openreview.net/forum?id=cerMFinCkh | [
"Fei Yu",
"Shudan Guo",
"Shiqing Xin",
"Beibei Wang",
"Wenzheng Chen",
"Haisen Zhao"
] | Poster | We consider the problem of 3D shape recovery from ultra-fast motion-blurred images. While 3D reconstruction from static images has been extensively studied, recovering geometry from extreme motion-blurred images remains challenging. Such scenarios frequently occur in both natural and industrial settings, such as fast-m... | [
"motion blur",
"differentiable rendering",
"fast moving objects"
] | Recover 3D shapes of ultra-fast moving objects from extreme motion-blurred images using a differentiable inverse rendering approach with a fast barycentric solver achieving up to 4.57x speedup. | 199 | 2602.07860 | title_snapshot |
OMTumHheAo | Marginalized Bundle Adjustment: Multi-View Camera Pose from Monocular Depth Estimates | https://openreview.net/forum?id=OMTumHheAo | [
"Shengjie Zhu",
"Ahmed Abdelkader",
"Mark J. Matthews",
"Xiaoming Liu",
"Wen-Sheng Chu"
] | Poster | Structure-from-Motion (SfM) is a fundamental 3D vision task for recovering camera parameters and scene geometry from multi-view images. While recent deep learning advances enable accurate Monocular Depth Estimation (MDE) from single images without depending on camera motion, integrating MDE into SfM remains a challenge... | [
"Multi-view Camera Pose Estimation; Bundle-Adjustment; Monocular Depth Estimation; Structure-from-Motion; RANSAC; Camera Re-localization"
] | We derive a novel BA objective to apply Monocular Depthmaps in multi-view camera pose estimation | 200 | 2602.18906 | title_snapshot |
k5W7px3yZA | PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers | https://openreview.net/forum?id=k5W7px3yZA | [
"Songlin Li",
"Despoina Paschalidou",
"Leonidas Guibas"
] | Poster | The increased demand for tools that automate the 3D content creation process led to tremendous progress in deep generative models that can generate diverse 3D objects of high fidelity. In this paper, we present PASTA, an autoregressive transformer architecture for generating high quality 3D shapes. PASTA comprises two ... | [
"Shape representation and features",
"Transformer-based autoregressive 3D generation",
"Multi-Modal 3D generation",
"Part-based 3D generation"
] | In this paper, we present PASTA, an autoregressive transformer architecture for generating high quality 3D shapes that's capable of being extended to different input modality. | 201 | 2407.13677 | title_snapshot |
AFkKZf7HBo | Symmetry Informative and Agnostic Feature Disentanglement for 3D Shapes | https://openreview.net/forum?id=AFkKZf7HBo | [
"Tobias Weißberg",
"Weikang Wang",
"Paul Roetzer",
"Nafie El Amrani",
"Florian Bernard"
] | Poster | Shape descriptors, i.e., per-vertex features of 3D meshes or point clouds, are fundamental to shape analysis. Historically, various handcrafted geometry-aware descriptors and feature refinement techniques have been proposed. Recently, several studies have initiated a new research direction by leveraging features from i... | [
"shape analysis"
] | We propose a method to disentangle Symmetry Informative and Agnostic Features of 3D shapes. | 203 | 2601.14804 | title_snapshot |
tLI3FZfZoq | Matrix-free Second-order Optimization of Gaussian Splats with Residual Sampling | https://openreview.net/forum?id=tLI3FZfZoq | [
"Hamza Pehlivan",
"Andrea Boscolo Camiletto",
"Lin Geng Foo",
"Marc Habermann",
"Christian Theobalt"
] | Oral | 3D Gaussian Splatting (3DGS) is widely used for novel view synthesis due to its high rendering quality and fast inference time.
However, 3DGS predominantly relies on first-order optimizers such as Adam, which leads to long training times.
To address this limitation, we propose a novel second-order optimization strategy... | [
"Second-order optimizer",
"3D Gaussian Splatting",
"Matrix-free Optimization"
] | We propose a second-order optimizer for 3D Gaussian Splatting, which uses pixel sampling to improve performance. | 207 | 2504.12905 | title_snapshot |
N8DB2jDHJi | PI3DETR: Parametric Instance Detection of 3D Point Cloud Edges with a Geometry-Aware 3DETR | https://openreview.net/forum?id=N8DB2jDHJi | [
"Fabio F. Oberweger",
"Michael Schwingshackl",
"Vanessa Staderini"
] | Poster | We present PI3DETR, an end-to-end framework that directly predicts 3D parametric curve instances from raw point clouds, avoiding the intermediate representations and multi-stage processing common in prior work. Extending 3DETR, our model introduces a geometry-aware matching strategy and specialized loss functions that ... | [
"3D Edge Detection",
"Parametric Inference",
"Point Clouds",
"3DETR",
"Detections",
"Deep Learning"
] | PI3DETR predicts parametric 3D curve instance from point clouds end-to-end, achieving SOTA on ABC Dataset. | 208 | 2509.03262 | title_snapshot |
EkYavEungN | Laplace-Beltrami Operator for Gaussian Splatting | https://openreview.net/forum?id=EkYavEungN | [
"Hongyu Zhou",
"Zorah Lähner"
] | Poster | With the rising popularity of 3D Gaussian splatting and the expanse of applications from rendering to 3D reconstruction, the need for geometry processing methods tailored directly to this representation becomes increasingly apparent. While existing approaches convert the centers of Gaussians to a point cloud or mesh to... | [
"Laplacian Operator",
"Shape matching",
"Heat diffusion",
"Gaussian Splatting",
"Shape analysis"
] | The paper introduces a simple but more accurate way to compute Laplace-Beltrami operator directly on Gaussian splatting | 212 | 2502.17531 | title_snapshot |
rTTOQ4r1U9 | Improved Convex Decomposition with Ensembling and Negative Primitives | https://openreview.net/forum?id=rTTOQ4r1U9 | [
"Vaibhav Vavilala",
"Bodo Rosenhahn",
"Florian Kluger",
"Seemandhar Jain",
"David Forsyth",
"Anand Bhattad"
] | Poster | Describing a scene in terms of primitives—geometrically simple shapes that offer a parsimonious but accurate abstraction of structure—is an established and difficult fitting problem. Different scenes require different numbers of primitives, and these primitives interact strongly. Existing methods are evaluated by compa... | [
"3D primitives",
"polytopes",
"Convex Decomposition"
] | We present a method to decompose any image into simple 3D primitives | 213 | 2405.19569 | title_snapshot |
puqMzCwFl2 | Broadening View Synthesis of Dynamic Scenes from Constrained Monocular Videos | https://openreview.net/forum?id=puqMzCwFl2 | [
"Le Jiang",
"Shaotong Zhu",
"Shayda Moezzi",
"Yedi Luo",
"Sarah Ostadabbas"
] | Poster | In dynamic Neural Radiance Fields (NeRF) systems, state-of-the-art novel view synthesis methods often fail under significant viewpoint deviations, producing unstable and unrealistic renderings. To address this, we introduce Expanded Dynamic NeRF (ExpanDyNeRF), a monocular NeRF framework that leverages Gaussian splattin... | [
"Dynamic Neural Radiance Fields (NeRF)",
"Novel View Synthesis",
"Monocular 3D Reconstruction",
"Gaussian Splatting"
] | Propose a novel dynamic NeRF framework extends reliable view synthesis to extreme angles from monocular input using pseudo-novel view supervision and introduces SynDM, the first GTA V-based dataset for evaluating large-angle view rendering. | 214 | 2512.14406 | title_snapshot |
aswMBzlFqb | SemLayoutDiff: Semantic Layout Generation with Diffusion Model for Indoor Scene Synthesis | https://openreview.net/forum?id=aswMBzlFqb | [
"Xiaohao Sun",
"Divyam Goel",
"Angel X Chang"
] | Poster | We present SemLayoutDiff, a unified model for synthesizing diverse 3D indoor scenes across multiple room types. The model introduces a scene layout representation combining a top-down semantic map and attributes for each object. Unlike prior approaches, which cannot condition on architectural constraints, SemLayoutDiff... | [
"3D indoor scene generation",
"3D scene modeling"
] | null | 215 | 2508.18597 | title_snapshot |
GfTl5ToYrn | Layered Quantum Architecture Search for 3D Point Cloud Classification | https://openreview.net/forum?id=GfTl5ToYrn | [
"Natacha Kuete Meli",
"Jovita Lukasik",
"Vladislav Golyanik",
"Michael Moeller"
] | Poster | We introduce layered Quantum Architecture Search (layered-QAS), a strategy inspired by classical network morphism that designs Parametrised Quantum Circuit (PQC) architectures by progressively growing and adapting them. PQCs offer strong expressiveness with relatively few parameters, yet they lack standard architectur... | [
"Quantum Architecture Search",
"3D Point Cloud Classification",
"Parameterized Quantum Circuits"
] | Layered QAS grows PQCs strategically for near end-to-end quantum 3D classification. | 216 | 2603.20024 | title_snapshot |
7cji6YFBBt | Gamma-from-Mono: Road-Relative, Metric, Self-Supervised Monocular Geometry for Vehicular Applications | https://openreview.net/forum?id=7cji6YFBBt | [
"Gasser Elazab",
"Maximilian Jansen",
"Michael Unterreiner",
"Olaf Hellwich"
] | Poster | Accurate perception of the vehicle’s 3D surroundings, including fine-scale road geometry, such as bumps, slopes, and surface irregularities, is essential for safe and comfortable vehicle control. However, conventional monocular depth estimation often oversmooths these features, losing critical information for motion pl... | [
"Monocular Geometry Estimation",
"Monocular Depth Estimation",
"Self-supervised",
"Road Geometry",
"Autonomous Driving",
"Scene Understanding"
] | Monocular 3D with a road-relative representation: lightweight, self-supervised, and metrically scaled by camera height. | 220 | 2512.04303 | title_snapshot |
OKABpK12jG | DyTact: Capturing Dynamic Contacts in Hand-Object Manipulation | https://openreview.net/forum?id=OKABpK12jG | [
"Xiaoyan Cong",
"Angela Xing",
"Chandradeep Pokhariya",
"Rao Fu",
"Srinath Sridhar"
] | Oral | Reconstructing dynamic hand-object contacts is essential for realistic manipulation in AI character animation, XR, and robotics, yet it remains challenging due to heavy occlusions, complex surface details, and limitations in existing capture techniques.
In this paper, we introduce DyTact, a markerless capture method f... | [
"Dynamic Contact Capture",
"Hand-Object Manipulation"
] | null | 222 | 2506.03103 | title_snapshot |
jrKH9CL2Tb | DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation | https://openreview.net/forum?id=jrKH9CL2Tb | [
"Karim Abou Zeid",
"Kadir Yilmaz",
"Daan de Geus",
"Alexander Hermans",
"David B. Adrian",
"Timm Linder",
"Bastian Leibe"
] | Poster | Vision foundation models (VFMs) trained on large-scale image datasets provide high-quality features that have significantly advanced 2D visual recognition. However, their potential in 3D scene segmentation remains largely untapped, despite the common availability of 2D images alongside 3D point cloud datasets. While si... | [
"3D semantic segmentation",
"foundation models",
"DINOv2",
"knowledge distillation",
"2D-3D fusion"
] | null | 225 | 2503.18944 | title_snapshot |
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