paper_id string | title string | authors list | ecva_url string | pdf_url string | supp_url string | doi string | project_url string | session_topics list | type string | arxiv_id string | arxiv_id_source string | abstract large_string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
4225 | NURBS Splatting: A Unified Differentiable Rendering Framework for Vector Graphics | [
"Jingye Qiu",
"Shizhe Zhou"
] | https://eccv.ecva.net/virtual/2026/poster/4225 | null | null | null | https://github.com/AnicoderAndy/nurbs-splatting | [
"3D Graphics and Geometric Representations"
] | Oral | 2606.31764 | title_snapshot | Differentiable rendering of planar rational splines remains largely underexplored, despite their widespread use in vector graphics and design. Existing differentiable vector renderers primarily focus on B\'ezier curves and rely on analytic rasterization, which can suffer from gradient instability and limited flexibilit... |
4614 | TreeSRNF: Square-Root Normal Fields for Generative Modelling of the Geometric and Structural Variability in Tree-like 3D Objects | [
"Tahmina Khanam",
"Hamid Laga",
"Mohammed Bennamoun",
"Guanjin Wang",
"Ferdous Sohel",
"Farid Boussaid",
"Anuj Srivastava"
] | https://eccv.ecva.net/virtual/2026/poster/4614 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.13456 | title_snapshot | We introduce a novel mathematical framework for analyzing and generating complex tree-shaped 3D objects, such as botanical trees and plants, which deform both in their 3D geometry and branching structure. Unlike previous works, which either consider only the skeletal structure of tree-like objects or approximate their ... |
3596 | EVAR: Edge Visual Autoregressive Models via Principled Pruning | [
"Zefang Wang",
"Ying Li",
"Yanyu Li",
"Mingluo Su",
"Simin Xu",
"Guanzhong Tian",
"Huan Wang"
] | https://eccv.ecva.net/virtual/2026/poster/3596 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5959 | Why Linear Probing Works: Non-Vacuous Generalization Bounds via Effective Dimension | [
"Dongxin Guo",
"Jikun Wu",
"SM Yiu"
] | https://eccv.ecva.net/virtual/2026/poster/5959 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
3769 | FontCopilot: Towards Generalist Multimodal Large Language Models for Holistic Chinese Font Engineering | [
"Yu Liu",
"Yang Liu",
"Ying Gao",
"Yang Ding",
"Cunrui Wang"
] | https://eccv.ecva.net/virtual/2026/poster/3769 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5559 | Q-BridgeNet: A Quantization Network for Cross-Lingual Sign Language Translation | [
"Liqian Feng",
"Lintao Wang",
"Xiaochen Liu",
"Anusha Withana",
"Ken-Tye Yong",
"Dehui Kong",
"Zhiyong Wang",
"Kun Hu"
] | https://eccv.ecva.net/virtual/2026/poster/5559 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.11215 | title_snapshot | Most sign language translation (SLT) methods focus on isolated native sign-spoken pairs (e.g., American Sign Language - English). Extending language-specific SLT models to multilingual translation would improve accessibility by enabling communication across diverse sign and spoken language communities. However, existin... |
4747 | URHead: A Unified UV-Space Representation for Joint Mesh–3DGS Optimization in Head Avatars | [
"Seonghak Lee",
"Junhee Cho",
"Jisoo Park",
"Min-Gyu Park",
"Jongmin Lee",
"Ju Yoon",
"Junseok Kwon"
] | https://eccv.ecva.net/virtual/2026/poster/4747 | null | null | null | https://lseonghak.github.io/website/project/urhead/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.22673 | title_snapshot | We present URHead, a unified representation for high-fidelity and animatable head avatars that fundamentally redefines mesh-Gaussian integration. While mesh-based methods offer precise geometric control but lack photorealistic detail, and Gaussian-based approaches achieve photorealism but suffer from poor structural co... |
4257 | Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration | [
"ZHUOLING Li",
"Jiarui Zhang",
"Ping Hu",
"Jason Kuen",
"Jiuxiang Gu",
"Hossein Rahmani",
"Jun Liu"
] | https://eccv.ecva.net/virtual/2026/poster/4257 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.29590 | title_snapshot | Method illustrations (MIs) play a crucial role in conveying the core ideas of scientific papers, yet their generation remains a labor-intensive process. Here, we take inspiration from human authors' drawing practices and correspondingly propose \textbf{FigAgent}, a novel multi-agent framework for high-quality automatic... |
3631 | MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation | [
"Yang Chen",
"Xiaowei Xu",
"Shuai Wang",
"Xinwen Zhang",
"Qiushi Guo",
"Tiezheng Ge",
"Limin Wang"
] | https://eccv.ecva.net/virtual/2026/poster/3631 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Oral | 2606.26016 | title_snapshot | Normalizing Flows (NFs) are powerful generative models capable of exact density estimation and sampling. However, their strict invertibility often forces the model to exhaust its capacity on low-level pixel details, hindering the capture of high-level semantic structures. While Masked Image Modeling (MIM) has excelled ... |
5140 | Reconstructing 3D Human-Object Interaction via a Unified Triplane Space | [
"Yuhang Chen",
"Chenxing Wang"
] | https://eccv.ecva.net/virtual/2026/poster/5140 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
3519 | ShellMaker: Language-Guided Exterior Completion under Structural Constraints | [
"Ruiqi Xu",
"Daniel Aliaga"
] | https://eccv.ecva.net/virtual/2026/poster/3519 | null | null | null | https://ruiqixu37.github.io/ShellMaker_web/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.31680 | title_snapshot | Despite advances in indoor scene generation, synthesizing coherent building exteriors consistent with generated interiors remains largely unexplored. Existing methods can generate floor plans and wall layouts but typically stop at a structural shell, lacking stylistically consistent facades and roofs. Completing these ... |
3247 | CogSENet: Blind Image Deblurring with Blur-Conditioned Semantic Routing and Explicit Frequency Fusion | [
"Pan Wang",
"Yihao Hu",
"Xiujin Liu"
] | https://eccv.ecva.net/virtual/2026/poster/3247 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.30030 | title_snapshot | Blind image deblurring demands the recovery of high-fidelity details and coherent structures from complex, unknown degradations. Current blind image deblurring methods struggle with real-world, spatially varying degradations, and lack the semantic awareness necessary to reliably differentiate valid textures from artifa... |
5520 | Generalization and Memorization in Rectified Flow | [
"Mingxing Rao",
"Daniel Moyer"
] | https://eccv.ecva.net/virtual/2026/poster/5520 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.13421 | title_snapshot | Generative models based on the Flow Matching objective, particularly Rectified Flow, have emerged as a dominant paradigm for efficient, high-fidelity image synthesis. However, while existing research heavily prioritizes generation quality and architectural scaling, the underlying dynamics of how RF models memorize trai... |
4457 | REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion | [
"Giorgos Petsangourakis",
"Christos Sgouropoulos",
"Bill Psomas",
"Theodoros Giannakopoulos",
"Giorgos Sfikas",
"Ioannis Kakogeorgiou"
] | https://eccv.ecva.net/virtual/2026/poster/4457 | null | null | null | https://reglueyourlatents.github.io/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2512.16636 | title_snapshot | Latent diffusion models (LDMs) achieve state-of-the-art image synthesis, yet their reconstruction-style denoising objective provides only indirect semantic supervision: high-level semantics emerge slowly, requiring longer training and limiting sample quality. Recent works inject semantics from Vision Foundation Models ... |
3841 | Know3D: Prompting 3D Generation with Knowledge from Vision-Language Models | [
"Wenyue Chen",
"Wenjue Chen",
"Peng Li",
"Qinghe Wang",
"XU JIA",
"Heliang Zheng",
"Rongfei Jia",
"Yuan Liu",
"Ronggang Wang"
] | https://eccv.ecva.net/virtual/2026/poster/3841 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.22782 | title_snapshot | Recent advances in 3D generation have improved the fidelity and geometric details of synthesized 3D assets. However, due to the inherent ambiguity of single-view observations and the lack of robust global structural priors caused by limited 3D training data, the unseen regions generated by existing models are often sto... |
3623 | JSON: Jigsaw Self-play Optimization for Normalizing Flows | [
"Fengxiang Yang",
"Tianyi Zheng",
"Jinwei Chen",
"Bo Li"
] | https://eccv.ecva.net/virtual/2026/poster/3623 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
4109 | SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows | [
"Qinyu Zhao",
"Guangting Zheng",
"Tao Yang",
"Rui Zhu",
"Xingjian Leng",
"Stephen Gould",
"Liang Zheng"
] | https://eccv.ecva.net/virtual/2026/poster/4109 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2512.04084 | title_snapshot | Normalizing Flows (NFs) learn invertible mappings between the data and a Gaussian distribution. Prior works usually suffer from two limitations. First, they add random noise to training samples or VAE latents as data augmentation, introducing complex pipelines including extra noising and denoising steps. Second, they u... |
5533 | Two-Parameter Flow Map Learning for Continuous-Time Diffeomorphic Image Registration | [
"Mohammadjavad Matinkia",
"Nilanjan Ray"
] | https://eccv.ecva.net/virtual/2026/poster/5533 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
3208 | Kinematics-Agnostic 3D Human Motion Prediction via Equivariant Latent Diffusion | [
"Cecilia Curreli",
"Florian Hofherr",
"Dominik Muhle",
"Abhishek Saroha",
"Riccardo Marin",
"Daniel Cremers"
] | https://eccv.ecva.net/virtual/2026/poster/3208 | null | null | null | https://ceveloper.github.io/publications/equifusion/ | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
3758 | FPicker: Topology-Guided Evolution for Filament Tracing in Low-SNR Microscopy | [
"Tingyin Zhao",
"Mingtao Huang",
"Yuan Shen"
] | https://eccv.ecva.net/virtual/2026/poster/3758 | null | null | null | https://github.com/tomzhaosky/FPicker | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5960 | CMuon: Accelerating and Stabilizing Diffusion Transformer Training via Chunked Momentum Orthogonalization | [
"Chuyan Chen",
"Peng Sun",
"Kun Yuan"
] | https://eccv.ecva.net/virtual/2026/poster/5960 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2608.02502 | title_snapshot | Diffusion Transformers (DiTs) have achieved state-of-the-art (SOTA) performance in visual generative modeling, yet their training remains computationally prohibitive. While the recently proposed Momentum Orthogonalization (Muon) optimizer offers a promising alternative to AdamW, its direct application to DiTs yields su... |
5821 | WorldAgents: Can Foundation Image Models be Agents for 3D World Models? | [
"Ziya Erkoç",
"Angela Dai",
"Matthias Niessner"
] | https://eccv.ecva.net/virtual/2026/poster/5821 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.19708 | title_snapshot | Given the remarkable ability of 2D foundation image models to generate high-fidelity outputs, we investigate a fundamental question: do 2D foundation image models inherently possess 3D world model capabilities? To answer this, we systematically evaluate multiple state-of-the-art image generation models and Vision-Langu... |
3329 | G2FM: A Geodesic Flow Matching Framework with Geometric Prior for Category-Level 9-DoF Pose Estimation | [
"Qianyu Chen",
"Xiaogang Zhang",
"Yangyi Wan",
"Zhengzhao Pan",
"Kai Wang",
"Yuqi Cai",
"Wenbin Yan",
"feng yang",
"Hua Chen"
] | https://eccv.ecva.net/virtual/2026/poster/3329 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5031 | DANTE-W: Diffuse Albedo Neural Texturing in the Wild | [
"Guangyu Wang",
"Tianheng Lu",
"Ruqi Huang",
"Lu Fang"
] | https://eccv.ecva.net/virtual/2026/poster/5031 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.30677 | title_snapshot | Classical mesh texturing techniques blend captured multi-view images directly, which inevitably suffer from baked-in shading and casted shadows that compromise visual fidelity during relighting. To circumvent this issue, we present a neural texturing framework, namely DANTE-W, to enable high-fidelity diffuse albedo tex... |
5250 | A Scalable Vector Graphics Latent Space | [
"Leonardo Zini",
"Elia Frigieri",
"Lorenzo Baraldi"
] | https://eccv.ecva.net/virtual/2026/poster/5250 | null | null | null | https://aimagelab.github.io/svg_latent_space/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2608.21893 | title_snapshot | Scalable Vector Graphics are a fundamental medium for resolution-independent visual content, yet the deep learning community lacks a continuous, dense, and invertible latent space for vector representations, the kind of foundational building block that Variational Autoencoders and their descendants have long provided f... |
3913 | Multi-View Foundation Models | [
"Leo Segre",
"Or Hirschorn",
"Shai Avidan"
] | https://eccv.ecva.net/virtual/2026/poster/3913 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2512.15708 | title_snapshot | Foundation models are vital tools in various Computer Vision applications. They take as input a single RGB image and output a deep feature representation that is useful for various applications. However, in case we have multiple views of the same 3D scene, they operate on each image independently and do not always prod... |
5309 | TriFlow: Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields | [
"Haoxuan Li",
"Ziya Erkoç",
"Daniele Sirigatti",
"Vladislav Rosov",
"Lei Li",
"Angela Dai",
"Matthias Niessner"
] | https://eccv.ecva.net/virtual/2026/poster/5309 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Oral | 2606.20131 | title_snapshot | We present TriFlow, a new generative approach for producing compact 3D meshes with artist-like triangle topology directly from input geometry conditions such as signed distance fields. Our key insight is to represent mesh topology as a nearest-vertex vector field (NVF) defined over the surface, where each point encodes... |
4800 | Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows | [
"Janne Perini",
"Rafael Bischof",
"Moab Arar",
"Ayça Duran",
"Michael Kraus",
"Siddhartha Mishra",
"Bernd Bickel"
] | https://eccv.ecva.net/virtual/2026/poster/4800 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.21210 | title_snapshot | Designing urban spaces that provide pedestrian wind comfort and safety requires time-resolved Computational Fluid Dynamics (CFD) simulations, but their current computational cost makes extensive design exploration impractical. We introduce WinDiNet (Wind Diffusion Network), a pretrained video diffusion model that is re... |
3856 | GenSP: Consistent Spherical Parameterization via Learning Shape Generative Models | [
"Sai Karthikey Pentapati",
"Shashank Gupta",
"Rajesh Sureddi",
"Yuezhi Yang",
"Alan Bovik",
"Qixing Huang"
] | https://eccv.ecva.net/virtual/2026/poster/3856 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.00492 | title_snapshot | We introduce GenSP, a data-driven framework that learns consistent spherical parameterizations across a collection of genus-0 shapes. Instead of optimizing the parameterization of each shape independently, our method learns a neural generative model that predicts a continuous mapping from the unit sphere to shapes in a... |
5397 | Deformable and Multi-view Gradient-Aligned Physical Adversarial Camouflage | [
"Jiawei Liang",
"Puning Zhao",
"tianrui lou",
"Haoqing Zhang",
"Xianghao Jiao",
"Bozheng Lin",
"Ming Zhang",
"Xiaochun Cao"
] | https://eccv.ecva.net/virtual/2026/poster/5397 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5380 | ReFP-AD: Rectified Flow Preconditioning for Energy-Based Anomaly Detection | [
"Camile Lendering",
"Erkut Akdag",
"Joaquin Figueira Chacon",
"Egor Bondarev"
] | https://eccv.ecva.net/virtual/2026/poster/5380 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2608.01793 | title_snapshot | Unified anomaly detection requires modeling highly heterogeneous normal data without access to anomalous samples. While foundation models like DINOv2 provide rich token representations, leveraging these spaces for explicit density estimation remains challenging. Energy-Based Models (EBMs) offer a principled formulation... |
5150 | Geodesic Flow Matching on a Riemannian Degradation Manifold for Blind Image Restoration | [
"Akshay Bankar",
"Ankita Chatterjee",
"Sayan Banerjee",
"Shreyas Pandith",
"Kalakonda Shashank",
"Amit Unde"
] | https://eccv.ecva.net/virtual/2026/poster/5150 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.06278 | title_snapshot | Blind image restoration requires recovering clean images from observations corrupted by unknown and potentially mixed degradations. While recent deterministic flow-based methods model restoration as transport processes that map degraded images to clean ones, they typically rely on Euclidean interpolation, implicitly as... |
4419 | Geometric Foundation Model Distillation for Efficient Lunar 3D Reconstruction | [
"Clémentine Grethen"
] | https://eccv.ecva.net/virtual/2026/poster/4419 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.01851 | title_snapshot | Large 3D foundation models such as MASt3R achieve state-of-the-art stereo reconstruction but are computationally demanding for deployment under strict hardware constraints -- a critical limitation in domains such as planetary exploration, where onboard computing is severely restricted. We study how far such models can ... |
5251 | Differentiable Polarized Path Tracing | [
"Pramod Rao",
"Jérémy Riviere",
"xilong zhou",
"Abhijeet Ghosh",
"Abhimitra Meka",
"Thabo Beeler",
"Marc Habermann",
"Christian Theobalt",
"Delio Vicini"
] | https://eccv.ecva.net/virtual/2026/poster/5251 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.13265 | title_snapshot | Physically based differentiable rendering has proven to be a powerful tool for inverse rendering problems (e.g., 3D reconstruction, reflectance estimation, lighting estimation). However, most existing methods operate solely on radiometric intensity, discarding valuable polarization cues that constrain scene geometry an... |
4034 | Controlling Embedding Spaces with Text-Conditioned Transformations | [
"Joseph Fioresi",
"Fabian Caba",
"Pankaj Nathani",
"Shah Mubarak",
"Kushal Kafle"
] | https://eccv.ecva.net/virtual/2026/poster/4034 | null | null | null | https://joefioresi718.github.io/ControlEmbed_webpage/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.22919 | title_snapshot | Multimodal embedding spaces in models like CLIP enable powerful capabilities such as semantic similarity retrieval and cross-modal zero-shot classification. These embeddings compress high-level semantics into a single vector, which comes at the cost of primarily expressing a dominant semantics like main object while su... |
3433 | Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling | [
"Meimingwei Li",
"Stefan Andreas Baumann",
"Felix Krause",
"Bjorn Ommer"
] | https://eccv.ecva.net/virtual/2026/poster/3433 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5163 | Pixel Ignores, Superpixel Sees: Adverse Weather Image Restoration via Semantic-Center SSM | [
"Dayu Li",
"shihao zhou",
"SHU LEIZHI",
"Jin Wu",
"Chi Man VONG",
"Jufeng Yang"
] | https://eccv.ecva.net/virtual/2026/poster/5163 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2608.01760 | title_snapshot | Adverse weather image restoration aims to recover clear visibility from degraded images in complex weather conditions.
Existing works attempt to address this problem by modeling relationships between pixels, however, this paradigm defies the spatially non-uniformity fact of degradations and learns non-discriminative ... |
3483 | MapDreamer: Aerial Imagery Conditioned Latent Diffusion For Lane Level Map Generation | [
"Julian Brandes",
"Philipp Crocoll",
"Wolfram Burgard"
] | https://eccv.ecva.net/virtual/2026/poster/3483 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.01370 | title_snapshot | High definition map generation is essential for autonomous driving, yet remains a labor-intensive process at scale. We present MapDreamer, a generative diffusion model that synthesizes lane-level vector maps with explicit topology directly from a single aerial image. MapDreamer learns a compact latent representation of... |
5071 | Text-based Tactile Graphics Generation for the Visually Impaired | [
"Ruihan Gao",
"Joonghyuk Shin",
"Ava Pun",
"Jaesik Park",
"Wenzhen Yuan",
"Jun-Yan Zhu"
] | https://eccv.ecva.net/virtual/2026/poster/5071 | null | null | null | https://ruihangao.github.io/Text2TactileGraphics/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.22674 | title_snapshot | Tactile graphics are a primary medium for blind and low-vision (BLV) individuals to access non-textual information. However, they are difficult to scale or personalize. While recent generative models have revolutionized visual content creation, they are optimized for screen-based visual realism and fail to satisfy the ... |
4469 | MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes | [
"Kartik Bali",
"Roland Aydin"
] | https://eccv.ecva.net/virtual/2026/poster/4469 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.31533 | title_snapshot | Identifying and grounding precise geometric entities, such as edges, planar regions, and curved surfaces within 3D objects, is foundational to computer-aided design (CAD), robotic manipulation, and scientific simulation. Although modern Vision Language Models (VLMs) have advanced referring segmentation (RIS) in the ima... |
3584 | DiffPro: Joint Timestep and Layer-Wise Precision Optimization for Efficient Diffusion Inference | [
"Farhana Amin",
"Sabiha Afroz",
"Kanchon Gharami",
"Mona Moghadampanah",
"Dimitrios Nikolopoulos"
] | https://eccv.ecva.net/virtual/2026/poster/3584 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2511.11446 | title_snapshot | Diffusion models produce high quality images but inference is costly due to many denoising steps and heavy matrix operations. We present DiffPro, a post-training, hardware-faithful framework that works with the exact integer kernels used in deployment and jointly tunes timesteps and per-layer precision in Diffusion Tra... |
3888 | FedOT: Ownership Verification and Leakage Tracing via Watermarks for Federated LDMs | [
"Wenlong Cheng",
"Yuan Gan",
"Yunqiu Xu",
"Jiaxu Miao"
] | https://eccv.ecva.net/virtual/2026/poster/3888 | null | null | null | https://spyzixuan.github.io/FedOT/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.22875 | title_snapshot | Training Latent Diffusion Models (LDMs) within Federated Learning (FL) has attracted increasing attention due to its ability to combine the powerful generative capacity of LDMs with the privacy-preserving properties of FL. However, FL requires sharing the global model with multiple participants, which risks unauthorize... |
5356 | Bridging the Geometry Mismatch: Frequency-Aware Anisotropic Serialization for Thin-Structure SSMs | [
"Jin Bai",
"Huiyao Zhang",
"Qi Wen",
"Ningyang Li",
"Shengyang Li",
"Atta ur Rahman",
"Xiaolin Tian"
] | https://eccv.ecva.net/virtual/2026/poster/5356 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.28503 | title_snapshot | The segmentation of thin linear structures is inherently topology allowbreak-critical, where minor local errors can sever long-range connectivity. While recent State-Space Models (SSMs) offer efficient long-range modeling, their isotropic serialization (e.g., raster scanning) creates a geometry mismatch for anisotropic... |
4551 | STAT: Soft Tail-dropping for Adaptive Visual Tokenization | [
"Zeyuan Chen",
"Kai Zhang",
"Zhuowen Tu",
"Yuanjun Xiong"
] | https://eccv.ecva.net/virtual/2026/poster/4551 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
4454 | Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested Embeddings | [
"Christian Grashei",
"Christian Brechenmacher",
"Rao Umer",
"Jingsong Liu",
"Carsten Marr",
"Peter Schüffler",
"Ewa Szczurek"
] | https://eccv.ecva.net/virtual/2026/poster/4454 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2511.23204 | title_snapshot | Pathology foundation models (FMs) have driven significant progress in computational pathology. However, these high-performing models can easily exceed a billion parameters and produce high-dimensional embeddings, thus limiting their applicability for research or clinical use when computing resources are tight. Here, we... |
4781 | WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens | [
"Yiwei Guo",
"Shaobin Zhuang",
"Zhipeng Huang",
"Canmiao Fu",
"Chen Li",
"Jing LYU",
"Yali Wang"
] | https://eccv.ecva.net/virtual/2026/poster/4781 | null | null | null | https://github.com/WeChatCV/WinTok | [
"3D Graphics and Geometric Representations"
] | Poster | 2605.18115 | title_snapshot | Building a unified visual tokenizer is essential for bridging the gap between visual understanding and generation. Yet existing approaches struggle with the inherent conflict between these tasks, as a single token space is forced to support both high-level semantic abstraction and low-level pixel reconstruction. We pro... |
3812 | Triangular Consistency as a Universal Constraint for Learning Optical Flow | [
"Yi Xiao",
"Carlos Rodriguez Coronel",
"Jing Zhan",
"Haniyeh Oskouie",
"Alex Wong",
"DONG LAO"
] | https://eccv.ecva.net/virtual/2026/poster/3812 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.19938 | title_snapshot | We propose triangular consistency as a first-principled constraint for optical flow, which is agnostic to network architecture, supervision type, and dataset, and applies to both image-pair and multi-frame settings. This simple but powerful constraint is to compose two flows to induce a third flow and enforce consisten... |
4808 | WorldMesh: Generating Navigable Multi-Room 3D Scenes via Mesh-Conditioned Image Diffusion | [
"Manuel-Andreas Schneider",
"Angela Dai"
] | https://eccv.ecva.net/virtual/2026/poster/4808 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.22972 | title_snapshot | Recent progress in image and video synthesis has inspired their use in advancing 3D scene generation. However, we observe that text-to-image and -video approaches struggle to maintain scene- and object-level consistency beyond a limited environment scale without a persistent, explicit geometric representation. We thus ... |
3962 | PointSplat: Compact Gaussian Splatting via Human-Centric Prediction | [
"Yujie Guo",
"Yudong Jin",
"Lingteng Qiu",
"Zehong Shen",
"Zhen Xu",
"Zhang Jing",
"Xianchao Shen",
"Hujun Bao",
"Sida Peng",
"Xiaowei Zhou"
] | https://eccv.ecva.net/virtual/2026/poster/3962 | null | null | null | https://zju3dv.github.io/pointsplat | [
"3D Reconstruction, Gaussian Splatting & Neural Rendering",
"3D Graphics and Geometric Representations"
] | Poster | 2606.32036 | title_snapshot | Producing 3D human representations from input views on the fly is essential for immersive live streaming systems, where representation compactness is as critical as high fidelity given limited computational power and transmission bandwidth. Although recent feed-forward reconstruction methods achieve impressive quality ... |
3991 | DiGS-Avatar: Single-Image Animatable 3D Human Reconstruction via UV-Space Diffusion | [
"jiakun li",
"Li Fang",
"Hao Zhu",
"Fei Hu",
"Long Ye",
"Yuan Zhang",
"Jinyao Yan"
] | https://eccv.ecva.net/virtual/2026/poster/3991 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2608.20759 | title_snapshot | Single-image 3D human reconstruction often suffers from over-smoothed textures and geometric inconsistencies. While diffusion models improve generative quality, their reliance on multi-view synthesis prior to 3D reconstruction is computationally expensive and prone to view inconsistency. We propose DiGS-Avatar, which r... |
4001 | Hi-DREAM: Brain Inspired Hierarchical Diffusion for fMRI-to-image Reconstruction via ROI Encoder And visual Mapping | [
"Guowei Zhang",
"Yun Zhao",
"Kai Sun",
"Moein Khajehnejad",
"Adeel Razi",
"Dinh Q Phung",
"Levin Kuhlmann"
] | https://eccv.ecva.net/virtual/2026/poster/4001 | null | null | null | https://github.com/Zhang-gw97/Hi-Dream | [
"3D Graphics and Geometric Representations"
] | Poster | 2511.11437 | title_snapshot | Reconstructing natural images from fMRI requires bridging neural activity with both the structural and semantic representations used by modern generative models. Existing diffusion-based decoders often condition on a single global fMRI embedding, which limits their ability to exploit the hierarchical organization of th... |
4139 | DuoFlow: JVP-Free Finite-Difference Mean Flows for One-Step Image Generation | [
"Zeming Li",
"Xiangyu Zhang",
"Ping Tan",
"Heung-Yeung Shum"
] | https://eccv.ecva.net/virtual/2026/poster/4139 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5963 | NeuralGarSim: Geometry-agnostic Garment Simulation with Neural Fields | [
"Arihant Gaur",
"Navami Kairanda",
"Christian Theobalt",
"Vladislav Golyanik"
] | https://eccv.ecva.net/virtual/2026/poster/5963 | null | null | null | https://4dqv.mpi-inf.mpg.de/NeuralGarSim | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
4344 | BRepFacetGen: Reverse Engineering B-Reps By Generative Face Segmentation | [
"Ka Hei Hui",
"Vikas Thamizharasan",
"Pradeep Kumar Jayaraman",
"Xiang Xu"
] | https://eccv.ecva.net/virtual/2026/poster/4344 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5839 | K-Mask: Kinematic-Aware Masked Modeling for Controllable Text-to-Motion Synthesis | [
"Faisal Ahmed",
"Chenqiu Zhao",
"Anup Basu"
] | https://eccv.ecva.net/virtual/2026/poster/5839 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
4405 | DOGE: Differentiable Bézier Graph Optimization for Road Network Extraction | [
"Jiahui Sun",
"Junran Lu",
"Jinhui Yin",
"Yishuo Xu",
"Yuanqi Li",
"Yanwen Guo"
] | https://eccv.ecva.net/virtual/2026/poster/4405 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2511.19850 | title_snapshot | Automatic extraction of road networks from aerial imagery is a fundamental task, yet prevailing methods rely on polylines that struggle to model curvilinear geometry. We maintain that road geometry is inherently curve-based and introduce the B\'ezier Graph, a differentiable parametric curve-based representation. The pr... |
4494 | Parametric SDF for Dynamic Surface Reconstruction | [
"Chong Gao",
"Kai Ye",
"Qiyu Dai",
"Yiming Shao",
"Qiong Zeng",
"Ding Liang",
"Yanpei Cao",
"Guanbin Li",
"Wenzheng Chen"
] | https://eccv.ecva.net/virtual/2026/poster/4494 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
4585 | Unsupervised Pixel-Level Semantic Left-Right Understanding of In-the-Wild Images | [
"Weikang Wang",
"Tobias Weißberg",
"Florian Bernard"
] | https://eccv.ecva.net/virtual/2026/poster/4585 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.05006 | title_snapshot | While various works address reflective symmetry understanding in 3D data and images, pixel-level semantic left-right prediction of in-the-wild images remains challenging, due to certain difficulties including the lack of 3D information, occlusion, object pose variation, partiality, etc. In this work, we propose an unsu... |
4627 | Learning to Tessellate: Point Cloud Generation via Recursive Spectral Partitioning | [
"Monan Sun",
"Bangzhen Liu",
"Huaidong Zhang",
"Shengfeng He"
] | https://eccv.ecva.net/virtual/2026/poster/4627 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2608.02432 | title_snapshot | Autoregressive models have emerged as an effective paradigm for point cloud generation. However, most existing approaches rely on heuristic tokenization strategies, such as spatial sorting or stochastic downsampling, which often disrupt intrinsic point cloud topology and weaken the structural coherence of the generated... |
5518 | Vector Scaffolding: Inter-Scale Orchestration for Differentiable Image Vectorization | [
"Jaerin Lee",
"KANGGEON LEE",
"Kyoung Mu Lee"
] | https://eccv.ecva.net/virtual/2026/poster/5518 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2605.11913 | title_snapshot | Differentiable vector graphics have enabled powerful gradient-based optimization of vector primitives directly from raster images. However, existing frameworks formulate this as a flat optimization problem, forcing hundreds to thousands of randomly initialized curves to blindly compete for pixel-level error reduction. ... |
4605 | PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion | [
"Zipeng Guo",
"Lichen Ma",
"Yu He",
"Xiaolong Fu",
"Jingling Fu",
"Junshi Huang",
"Yan Li"
] | https://eccv.ecva.net/virtual/2026/poster/4605 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.27760 | title_snapshot | End-to-end pixel-space diffusion models bypass the lossy compression of Latent Diffusion Models (LDMs) but struggle to jointly model low-frequency semantics and high-frequency signals in high-dimensional space. Existing works heavily rely on complex pixel decoders to alleviate this issue. In this paper, we challenge th... |
4642 | Learning Video Dynamics with Predictive Differentiable Rendering | [
"Yujin Tang",
"Tian Zhou",
"Xin Lin",
"Cheng Tan",
"Yifan Hu",
"Rong Jin",
"SouYoung Jin",
"Liang Sun"
] | https://eccv.ecva.net/virtual/2026/poster/4642 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.31050 | title_snapshot | How to accurately predict a high-fidelity future world? While the visual world is inherently continuous, existing deterministic video prediction models operate in discrete pixel space and are mainly optimized with pixel-wise mean squared error (MSE), which often leads to over-smoothed predictions and a lack of fine-gra... |
4729 | DeCoFlow: Structural Decomposition of Normalizing Flows for Continual Anomaly Detection | [
"hun im",
"Jungi Lee",
"Subeen Cha",
"Pilsung Kang"
] | https://eccv.ecva.net/virtual/2026/poster/4729 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.26687 | title_snapshot | In industrial environments, new product categories arrive sequentially, requiring continual anomaly detection without access to past data. Normalizing Flows (NFs) provide exact density estimation but suffer from catastrophic forgetting as parameter updates across tasks distort the density manifold. While parameter isol... |
5891 | Robust 3DGS-based SLAM via Adaptive Kernel Smoothing | [
"Shouhe Zhang",
"Dayong Ren",
"WEN LI",
"Piaopiao Yu",
"Sensen Song",
"Kaikai Shao",
"Yurong Qian"
] | https://eccv.ecva.net/virtual/2026/poster/5891 | null | null | null | https://github.com/xju-zsh/Robust-3DGS-based-SLAM-via-Adaptive-Kernel-Smoothing.git | [
"3D Graphics and Geometric Representations"
] | Poster | 2511.23221 | title_snapshot | In this paper, we challenge the conventional notion in 3DGS-SLAM that rendering quality is the primary determinant of tracking accuracy. We argue that, compared to solely pursuing a perfect scene representation, it is more critical to enhance the robustness of the rasterization process against parameter errors to ensur... |
4755 | Hybrid-LUT: Channel-Aware Hybrid Lookup Table and Filtering for Efficient Image Restoration | [
"Zhilin Ai",
"Boyu Li",
"Sidi Yang",
"Wenqing Shi",
"Wenyong Zhou",
"Binxiao Huang",
"Chenchen Ding",
"Ngai Wong"
] | https://eccv.ecva.net/virtual/2026/poster/4755 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
4907 | Render-in-the-Loop: Vector Graphics Generation via Visual Self-Feedback | [
"Guotao Liang",
"Zhangcheng Wang",
"Juncheng Hu",
"Haitao Zhou",
"Ziteng Xue",
"Jing Zhang",
"Dong Xu",
"Qian Yu"
] | https://eccv.ecva.net/virtual/2026/poster/4907 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2604.20730 | title_snapshot | Multimodal Large Language Models (MLLMs) have shown promising capabilities in generating Scalable Vector Graphics (SVG) via direct code synthesis. However, existing paradigms typically adopt an open-loop "blind drawing" approach, where models generate symbolic code sequences without perceiving intermediate visual outco... |
4966 | SAM2Matting: Generalized Image and Video Matting | [
"Ruiqi Shen",
"Guangquan Jie",
"Chang Liu",
"Henghui Ding"
] | https://eccv.ecva.net/virtual/2026/poster/4966 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.27339 | title_snapshot | Despite impressive advances in image matting, video matting remains challenging due to the inherent gap between high-level tracking, which requires frame-wise understanding, and low-level matting, which focuses on extremely fine-grained details. Existing methods attempt this with expensive and narrowly-scoped video mat... |
4153 | TopoFuse: Topology-Aware Tri-Planar Fusion for 3D Cryo-Electron Tomography Segmentation | [
"Rohit Kumar Salla",
"Neelesh Gupta",
"Xingjian Li",
"Min Xu"
] | https://eccv.ecva.net/virtual/2026/poster/4153 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
4974 | Reflecting Process Expertise in Procedural Material Generation | [
"Kunal Gupta",
"Gaurav Joshi",
"Yen-Ru Chen",
"Seemandhar Jain",
"Ishit Mehta",
"Manmohan Chandraker"
] | https://eccv.ecva.net/virtual/2026/poster/4974 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.13318 | title_snapshot | Procedural material creation underpins applications in digital content creation, visual effects, and 3D asset design. Achieving high-quality results requires more than reproducing node graphs -- it demands understanding the process by which experts construct materials. We formulate procedural material generation as ret... |
4988 | AVQ-Attention: Adaptive Vector-Quantized Attention | [
"Winfried van den Dool",
"Patrick Forré",
"Amirhossein Habibian",
"Yuki Asano",
"Max Welling"
] | https://eccv.ecva.net/virtual/2026/poster/4988 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.12789 | title_snapshot | The $\mathcal{O}(N^2)$ complexity of attention over $N$ tokens remains a computational bottleneck in transformer models. Vector-Quantized (VQ) attention reduces this to $\mathcal{O}(MN)$ by representing keys with $M$ codewords, but applies uniform codebook capacity regardless of where attention mass concentrates: high-... |
5046 | Language-Guided Transformer Tokenizer for Human Motion Generation | [
"Sheng Yan",
"yong wang",
"Xin Du",
"Junsong Yuan",
"Mengyuan Liu"
] | https://eccv.ecva.net/virtual/2026/poster/5046 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2602.08337 | title_snapshot | In this paper, we focus on motion discrete tokenization, which converts raw motion into compact discrete tokens--a process proven crucial for efficient motion generation. In this paradigm, increasing the number of tokens is a common approach to improving motion reconstruction quality, but more tokens make it more diffi... |
5098 | OmniX: From Unified Panoramic Generation and Perception To Graphics-Ready 3D Scenes | [
"Yukun Huang",
"Jiwen Yu",
"Yanning Zhou",
"Jianan Wang",
"Xintao Wang",
"Pengfei Wan",
"Xihui Liu"
] | https://eccv.ecva.net/virtual/2026/poster/5098 | null | null | null | https://yukun-huang.github.io/OmniX/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2510.26800 | title_snapshot | There are two prevalent ways for automatic 3D scene construction: procedural generation and 2D lifting. Among these, panorama-based 2D lifting has emerged as a promising technique, leveraging powerful 2D generative priors to produce immersive, realistic, and diverse 3D environments. In this work, we advance this techni... |
5196 | CoToGrasp: Contact-Topology-Conditioned Dexterous Grasp Synthesis via Canonical Workspace Learning | [
"Julien Mérand",
"Boris Meden",
"Liming Chen",
"Mathieu GROSSARD"
] | https://eccv.ecva.net/virtual/2026/poster/5196 | null | null | null | https://cea-list.github.io/cotograspweb/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2608.19776 | title_snapshot | Current dexterous grasp planners primarily optimize for physical stability, focusing on whether an object can be grasped rather than how it should be grasped to support downstream functional tasks. However, conditioning grasp synthesis on specific human grasp taxonomies typically requires prohibitively expensive, objec... |
5324 | Monocular Avatar Reconstruction via Cascaded Diffusion Priors and UV-Space Differentiable Shading | [
"Hong Li",
"Minqi Meng",
"Yanjun Liang",
"Chongjie Ye",
"Houyuan Chen",
"Weiqing Xiao",
"Xianda Guo",
"Guojun Lei",
"Xuhui Liu",
"Chaojie Yang",
"Yanlun Peng",
"HAO ZHAO",
"Baochang Zhang"
] | https://eccv.ecva.net/virtual/2026/poster/5324 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.28144 | title_snapshot | Reconstructing high-fidelity, relightable 3D avatars from a single in-the-wild image is a challenging ill-posed problem, primarily hindered by the scarcity of high-quality PBR data and the complexity of disentangling illumination from intrinsic materials. In this paper, we present a data-efficient framework that levera... |
5451 | VNC: A Scale-Space Foundation for Learnable 3D Surface Evolution | [
"Baoxing Li",
"Yong Deng",
"Xu Zhao"
] | https://eccv.ecva.net/virtual/2026/poster/5451 | null | null | null | https://cvl.sjtu.edu.cn/getpaper/1134 | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5647 | Diffusion Integrated Gradients: Controllable Path Generation for Flexible Feature Attribution | [
"Soyeon Kim",
"Kyowoon Lee",
"Jaesik Choi"
] | https://eccv.ecva.net/virtual/2026/poster/5647 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.22314 | title_snapshot | Path-based attribution methods such as Integrated Gradients (IG) are widely adopted for their strong axiomatic properties and effectiveness in attributing model predictions to input features by integrating gradients along a path from a baseline to the input. However, the choice of the attribution path largely affects t... |
5668 | PRISM: Latent Composition Consistency for Single-Image Reflection Removal | [
"Junseong Shin",
"Tae Hyun Kim"
] | https://eccv.ecva.net/virtual/2026/poster/5668 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.31513 | title_snapshot | Single-image reflection removal (SIRR) seeks to recover the transmission layer from a mixture corrupted by reflections -- a severely ill-posed problem. Existing methods operate in pixel space, where the nonlinear sRGB formation model entangles the two layers and limits generalization. We observe that pretrained VAE lat... |
5678 | DiffGI: Differentiable Geometry Images for High-Fidelity Thin-Shell 3D Generation | [
"Eungjune Shim",
"Hansol Lee",
"Eunjung Ju"
] | https://eccv.ecva.net/virtual/2026/poster/5678 | null | null | null | https://ejshim.github.io/diffgi/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.13365 | title_snapshot | Existing 3D generative models predominantly rely on implicit volumetric representations, which enforce watertight topology and struggle to represent thin-shell and non-manifold geometries such as garments. Geometry image-based approaches offer a surface-centric alternative, but existing methods rely on discrete binary ... |
5724 | MagnetGS-Mesh: High-Quality Multi-Object Mesh Reconstruction via Adaptive Surface Optimization | [
"Min-Su Park",
"Yeonho Han",
"Uijoon Jeong",
"Jun-Hyeong Park",
"Eun-Seok Ryu"
] | https://eccv.ecva.net/virtual/2026/poster/5724 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
4260 | Beyond the Black Box: Identifiable Interpretation and Control in Generative Models via Causal Minimality | [
"Lingjing Kong",
"Shaoan Xie",
"Guangyi Chen",
"Yuewen Sun",
"Xiangchen Song",
"Kun Zhang"
] | https://eccv.ecva.net/virtual/2026/poster/4260 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2512.10720 | title_snapshot | Deep generative models, while revolutionizing fields like image and text generation, largely operate as opaque ``black boxes'', hindering human understanding, control, and alignment. While methods like sparse autoencoders (SAEs) show remarkable empirical success, they often lack theoretical guarantees, risking subjecti... |
5942 | TiltDiff: Tilted Weight-Space Diffusion for Neural Network Generation | [
"En-Ni Chuang",
"Hanjuan Huang",
"Hao-Jia Song",
"Hsing-Kuo Kenneth Pao",
"Tyng-Luh Liu"
] | https://eccv.ecva.net/virtual/2026/poster/5942 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
3864 | HuCollisionField: Resolving Self-Collisions via Neural Fields for Human Prediction | [
"Zhengyuan Li",
"Zeyun Deng",
"Yifan Shen",
"Liang-Yan Gui",
"Miaolan Xie",
"Joseph Campbell",
"Xifeng Gao",
"Kui Wu",
"Zherong Pan",
"Aniket Bera"
] | https://eccv.ecva.net/virtual/2026/poster/3864 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
5992 | ExPLoRe: Expert Patch-Level Loss Routing for Multi-Objective Masked Image Modeling | [
"Konstantinos Georgiou",
"Maofeng Tang",
"Hairong Qi"
] | https://eccv.ecva.net/virtual/2026/poster/5992 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.31201 | title_snapshot | Multi-objective masked image modeling (MIM) combines complementary learning signals (token distillation, CLS alignment, and pixel reconstruction) but existing methods weight these objectives with global scalars, ignoring spatial heterogeneity across patches. We present ExPLoRe (Expert Patch-Level Loss Routing), which r... |
4617 | Temporally Stable Generative Illumination with a One-Step Diffusion Model | [
"Harish Anand",
"Alexandr Kuznetsov",
"Sungye Kim",
"Wojciech Uss",
"Wojciech Kaliński",
"Rama Harihara"
] | https://eccv.ecva.net/virtual/2026/poster/4617 | null | null | null | https://gpuopen.com/learn/temporally-stable-generative-illumination/ | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
3630 | HolisticSemGes: Semantic Grounding of Holistic Co-Speech Gesture Generation with Contrastive Flow-Matching | [
"Lanmiao Liu",
"Esam Ghaleb",
"asli ozyurek",
"Zerrin Yumak"
] | https://eccv.ecva.net/virtual/2026/poster/3630 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
4305 | Teaching an Agent to Sketch One Part at a Time | [
"Xiaodan Du",
"Ruize Xu",
"David Yunis",
"Yael Vinker",
"Greg Shakhnarovich"
] | https://eccv.ecva.net/virtual/2026/poster/4305 | null | null | null | https://xiaodan.io/teaching-an-agent-to-sketch/ | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.19500 | title_snapshot | We develop a method for producing vector sketches one part at a time. To do this, we train a multi-modal language model-based agent using a novel multi-turn process-reward reinforcement learning following supervised fine-tuning. Our approach is enabled by a new dataset we call ControlSketch-Part, containing rich part-l... |
3441 | Diffusion-Based Material Regularization for Physics-Based Inverse Rendering | [
"Jingwang Ling",
"Lifan Wu",
"Feng Xu",
"Shuang Zhao"
] | https://eccv.ecva.net/virtual/2026/poster/3441 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2606.31065 | title_snapshot | Reconstructing physics-based 3D assets -- geometry, materials, and illumination -- from multi-view images is a core problem in computer graphics and vision, and a prerequisite for realistic relighting and editing. Physics-based inverse rendering offers an accurate image-formation model, but is severely underconstrained... |
5551 | LumiTokens: 3D Relighting via Token-Space Lighting Transformation | [
"Yiwen Chen",
"Matheus Gadelha",
"Huaizu Jiang"
] | https://eccv.ecva.net/virtual/2026/poster/5551 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2608.18215 | title_snapshot | Existing 3D relighting methods operate through either explicit material decomposition, diffusion-based view-space generation, or a combination of both, requiring full recomputation for each new lighting condition. We observe that recent latent scene representations, which encode multi-view images into a set of compact ... |
4994 | DreamPartGen: Semantically Grounded Part-Level 3D Generation via Collaborative Latent Denoising | [
"Tianjiao (Joey) Yu",
"Xinzhuo Li",
"Muntasir Wahed",
"Jerry Xiong",
"Yifan Shen",
"Ying Shen",
"Ismini Lourentzou"
] | https://eccv.ecva.net/virtual/2026/poster/4994 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.19216 | title_snapshot | Understanding and generating 3D objects as compositions of meaningful parts is fundamental to human perception and reasoning. However, most text-to-3D methods overlook the semantic and functional structure of parts. While recent part-aware approaches introduce decomposition, they remain largely geometry-focused, lackin... |
5927 | Stitched Embeddings: A Unified Latent Space for 3D Garments and 2D Patterns | [
"Andrea Sanchietti",
"Riccardo Marin",
"Bharat Bhatnagar",
"Yuanlu Xu",
"Gerard Pons-Moll"
] | https://eccv.ecva.net/virtual/2026/poster/5927 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2607.00829 | title_snapshot | While garments are essential for realistic digital humans, their topological variety makes them much harder to model than parametric bodies. Traditional tailoring relies on 2D sewing patterns, yet bridging these patterns to 3D geometry currently requires physical simulations. We present Stitched Embeddings, the first s... |
3506 | ReSWD: ReSTIR‘d, not shaken. Combining Reservoir Sampling and Sliced Wasserstein Distance for Variance Reduction. | [
"Mark Boss",
"Andreas Engelhardt",
"Simon Donné",
"Varun Jampani"
] | https://eccv.ecva.net/virtual/2026/poster/3506 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2510.01061 | title_snapshot | Distribution matching is central to many vision and graphics tasks, where the widely used Wasserstein distance is too costly to compute for high dimensional distributions. The Sliced Wasserstein Distance (SWD) offers a scalable alternative, yet its Monte Carlo estimator suffers from high variance, resulting in noisy gr... |
3255 | Dual Masked Generative Adversarial Transformer for Unsupervised Domain Adaptation | [
"Lei Zhu",
"Xinxing Xu",
"Jun Zhou",
"Qiegen Liu",
"Rick Siow Mong Goh",
"Yong Liu"
] | https://eccv.ecva.net/virtual/2026/poster/3255 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
3974 | Adaptive Noise Covariance Scheduling under Riemannian Metrics for Diffusion Models | [
"Bolin Deng",
"Die Hu",
"Bin Tan",
"Jun Wu"
] | https://eccv.ecva.net/virtual/2026/poster/3974 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
3211 | PKINet-v2: Towards Powerful and Efficient Poly-Kernel Remote Sensing Object Detection | [
"Xinhao Cai",
"Liulei Li",
"Gensheng Pei",
"Zeren Sun",
"Yazhou Yao",
"Wenguan Wang"
] | https://eccv.ecva.net/virtual/2026/poster/3211 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2603.16341 | title_snapshot | Object detection in remote sensing images (RSIs) is challenged by the coexistence of geometric and spatial complexity: targets may appear with diverse aspect ratios, while spanning a wide range of object sizes under varied contexts. Existing RSI backbones address the two challenges separately, either by adopting anisot... |
3431 | Revisiting Avatar-As-Image: High-Fidelity Registration is All You Need | [
"Margaret Kostyrko",
"Yuxuan Xue",
"Garvita Tiwari",
"Gerard Pons-Moll"
] | https://eccv.ecva.net/virtual/2026/poster/3431 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
3810 | Entropy-Controlled Flow Matching | [
"Chika Maduabuchi"
] | https://eccv.ecva.net/virtual/2026/poster/3810 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2602.22265 | title_snapshot | Modern vision generators transport a base distribution to data through time-indexed measures, implemented as deterministic flows (ODEs) or stochastic diffusions (SDEs). Despite strong empirical performance, standard flow-matching objectives do not directly control the information geometry of the trajectory, allowing lo... |
5399 | Through Van Gogh’s Eyes: Global Style Transfer with Diffusion Model | [
"Jeongha Lee",
"Yujin Kim",
"Ghazanfar Ali",
"Suhyun Kim",
"Jae-In Hwang"
] | https://eccv.ecva.net/virtual/2026/poster/5399 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2608.11546 | title_snapshot | Artistic image synthesis aims to recreate the expressive visual identity of a target artist, yet existing methods often fail to capture an artist's global style. Conventional style transfer methods transfer the style of one or a few reference artworks to a content image in a One-to-One manner, making them effective for... |
4223 | Affordance-Guided Diffusion Prior for 3D Hand Reconstruction | [
"Naru Suzuki",
"Takehiko Ohkawa",
"Tatsuro Banno",
"Jihyun Lee",
"Ryosuke Furuta",
"Yoichi Sato"
] | https://eccv.ecva.net/virtual/2026/poster/4223 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2510.00506 | title_snapshot | How can we reconstruct 3D hand poses when large portions of the hand are heavily occluded by itself or by objects? Humans often resolve such ambiguities by leveraging contextual knowledge -- such as affordances, where an object's shape and function suggest how the object is typically grasped. Inspired by this observati... |
5402 | HQ-DM: Single Hadamard Transformation-Based Quantization-Aware Training for Low-Bit Diffusion Models | [
"Shizhuo Mao",
"Hongtao Zou",
"Qihu Xie",
"Song Chen",
"Yi Kang"
] | https://eccv.ecva.net/virtual/2026/poster/5402 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | 2512.05746 | title_snapshot | Diffusion models have demonstrated significant applications in the field of image generation. However, their high computational and memory costs pose challenges for deployment. Model quantization has emerged as a promising solution to reduce storage overhead and accelerate inference. Nevertheless, existing quantization... |
3922 | ThermoGS: Decoupling Physical Surface Attributes for Spatio-Temporal Thermal Field Emulation via 4D Gaussian Splatting | [
"Kun Yang",
"Yuxiang Liu",
"Zeyu Cui",
"Shen Yan",
"Maojun Zhang",
"Yu Liu",
"Xue Wang",
"Qing Wang"
] | https://eccv.ecva.net/virtual/2026/poster/3922 | null | null | null | null | [
"3D Graphics and Geometric Representations"
] | Poster | null | null | null |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 44