cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21979/n9/gyjnh1
title: SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters

description: Human beings are social animals. How to equip 3D autonomous characters with similar social intelligence that can perceive, understand and interact with humans remains an open yet foundamental problem. In this paper, we introduce SOLAMI, the first end-to-end Social vision-Language-Action (VLA) Modeling framework for Immersive interaction with 3D autonomous characters. Specifically, SOLAMI builds 3D autonomous characters from three aspects: (1) Social VLA Architecture: We propose a unified social VLA framework to generate multimodal response (speech and motion) based on the user's multimodal input to drive the character for social interaction. (2) Interactive Multimodal Data: We present SynMSI, a synthetic multimodal social interaction dataset generated by an automatic pipeline using only existing motion datasets to address the issue of data scarcity. (3) Immersive VR Interface: We develop a VR interface that enables users to immersively interact with these characters driven by various architectures. Extensive quantitative experiments and user studies demonstrate that our framework leads to more precise and natural character responses (in both speech and motion) that align with user expectations with lower latency.
DOI: 10.6084/m9.figshare.30325456.v8
title: Yaba College of Technology (YABATECH) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: Yaba College of Technology (YABATECH) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.5281/zenodo.16928921
title: Repeatable AR Sessions with Radiance Field Support

description: This is the digital appendix to the poster publication "Repeatable AR Sessions with Radiance Field Support" at IEEE ISMAR 2025. 

The source code is available via GitHub:



Augmented Reality Capture (ARC): https://github.com/VWDG-TU-Ilmenau/Augmented-Reality-Capture

Augmented Reality Workstation (ARW): https://github.com/VWDG-TU-Ilmenau/Augmented-Reality-Workstation

ARC to COLMAP conversion tool (ARC2COLMAP): https://github.com/VWDG-TU-Ilmenau/ARC2COLMAP
DOI: 10.5281/zenodo.16928920
title: Repeatable AR Sessions with Radiance Field Support

description: This is the digital appendix to the poster publication "Repeatable AR Sessions with Radiance Field Support" at IEEE ISMAR 2025. 

The source code is available via GitHub:



Augmented Reality Capture (ARC): https://github.com/VWDG-TU-Ilmenau/Augmented-Reality-Capture

Augmented Reality Workstation (ARW): https://github.com/VWDG-TU-Ilmenau/Augmented-Reality-Workstation

ARC to COLMAP conversion tool (ARC2COLMAP): https://github.com/VWDG-TU-Ilmenau/ARC2COLMAP
DOI: 10.6084/m9.figshare.30325456.v9
title: Maritime Academy of Nigeria, Oron 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: Maritime Academy of Nigeria, Oron 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.21979/n9/iavwos
title: AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation

description: Recent advancements in diffusion models have led to significant improvements in the generation and animation of 4D full-body human-object interactions (HOI). Nevertheless, existing methods primarily focus on SMPL-based motion generation, which is limited by the scarcity of realistic large-scale interaction data. This constraint affects their ability to create everyday HOI scenes. This paper addresses this challenge using a zero-shot approach with a pre-trained diffusion model. Despite this potential, achieving our goals is difficult due to the diffusion model's lack of understanding of ''where'' and ''how'' objects interact with the human body. To tackle these issues, we introduce AvatarGO, a novel framework designed to generate animatable 4D HOI scenes directly from textual inputs. Specifically, 1) for the ''where'' challenge, we propose LLM-guided contact retargeting, which employs Lang-SAM to identify the contact body part from text prompts, ensuring precise representation of human-object spatial relations. 2) For the ''how'' challenge, we introduce correspondence-aware motion optimization that constructs motion fields for both human and object models using the linear blend skinning function from SMPL-X. Our framework not only generates coherent compositional motions, but also exhibits greater robustness in handling penetration issues. Extensive experiments with existing methods validate AvatarGO's superior generation and animation capabilities on a variety of human-object pairs and diverse poses. As the first attempt to synthesize 4D avatars with object interactions, we hope AvatarGO could open new doors for human-centric 4D content creation.
DOI: 10.6084/m9.figshare.30325456.v10
title: University of Abuja (UNIABUJA) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: University of Abuja (UNIABUJA) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.21979/n9/krafdd
title: MEAT: Multiview Diffusion Model for Human Generation on Megapixels with Mesh Attention

description: Multiview diffusion models have shown considerable success in image-to-3D generation for general objects. However, when applied to human data, existing methods have yet to deliver promising results, largely due to the challenges of scaling multiview attention to higher resolutions. In this paper, we explore human multiview diffusion models at the megapixel level and introduce a solution called mesh attention to enable training at 1024 resolution. Using a clothed human mesh as a central coarse geometric representation, the proposed mesh attention leverages rasterization and projection to establish direct cross-view coordinate correspondences. This approach significantly reduces the complexity of multiview attention while maintaining cross-view consistency. Building on this foundation, we devise a mesh attention block and combine it with keypoint conditioning to create our human-specific multiview diffusion model, MEAT. In addition, we present valuable insights into applying multiview human motion videos for diffusion training, addressing the longstanding issue of data scarcity. Extensive experiments show that MEAT effectively generates dense, consistent multiview human images at the megapixel level, outperforming existing multiview diffusion methods. Code and model will be publicly available.
DOI: 10.6084/m9.figshare.30325456.v11
title: Federal University of Agriculture, Abeokuta (FUNAAB) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: Federal University of Agriculture, Abeokuta (FUNAAB) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.6084/m9.figshare.30325456.v12
title: University of Benin (UNIBEN) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: University of Benin (UNIBEN) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.21979/n9/szjqme
title: Arbitrary-steps Image Super-resolution via Diffusion Inversion

description: This study presents a new image super-resolution (SR) technique based on diffusion inversion, aiming at harnessing the rich image priors encapsulated in large pre-trained diffusion models to improve SR performance. We design a Partial noise Prediction strategy to construct an intermediate state of the diffusion model, which serves as the starting sampling point. Central to our approach is a deep noise predictor to estimate the optimal noise maps for the forward diffusion process. Once trained, this noise predictor can be used to initialize the sampling process partially along the diffusion trajectory, generating the desirable high-resolution result. Compared to existing approaches, our method offers a flexible and efficient sampling mechanism that supports an arbitrary number of sampling steps, ranging from one to five. Even with a single sampling step, our method demonstrates superior or comparable performance to recent state-of-the-art approaches.
DOI: 10.6084/m9.figshare.30325456.v14
title: University of Ibadan (UI) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: University of Ibadan (UI) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.6084/m9.figshare.30325456.v13
title: University of Calabar (UNICAL) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department

description: University of Calabar (UNICAL) 2025/2026 Diploma Form/Pre Degree Form Call on 07076040542 to apply and For Admission Process on how to be admitted and mode of payment of School Fee And Acceptance Fee Contact school Admin Department +2347076040542 now to apply and for mode of making school fees, Tutions, any for more information +2347076040542. This is direct from the admin department
DOI: 10.21979/n9/en6lqi
title: MatAnyone: Stable Video Matting with Consistent Memory Propagation

description: Auxiliary-free human video matting methods, which rely solely on input frames, often struggle with complex or ambiguous backgrounds. To tackle this, we propose MatAnyone, a practical framework designed for target-assigned video matting. Specifically, building on a memory-based framework, we introduce a consistent memory propagation module via region-adaptive memory fusion, which adaptively combines memory from the previous frame. This ensures stable semantic consistency in core regions while maintaining fine details along object boundaries. For robust training, we present a larger, high-quality, and diverse dataset for video matting. Additionally, we incorporate a novel training strategy that efficiently leverages large-scale segmentation data, further improving matting stability. With this new network design, dataset, and training strategy, MatAnyone delivers robust, accurate video matting in diverse real-world scenarios, outperforming existing methods. The code and model will be publicly available.
DOI: 10.21227/avaw-1t61
title: "LIO Test Dataset for UAV Inspection"

description: "LIO Test Dataset for UAV Inspection"
DOI: 10.5517/ccdc.csd.ccwcbwf
title: CCDC 815265: Experimental Crystal Structure Determination

description: Related Article: N. Burcu Arslan, Canan Kazak, Fatma Aydın|2018|J.Mol.Struct.|1155|646|doi:10.1016/j.molstruc.2017.11.003
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccwcbzj
title: CCDC 815268: Experimental Crystal Structure Determination

description: Related Article: N. Burcu Arslan, Canan Kazak, Fatma Aydın|2018|J.Mol.Struct.|1155|646|doi:10.1016/j.molstruc.2017.11.003
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.ccydt59
title: CCDC 876251: Experimental Crystal Structure Determination

description: Related Article: Jennifer Hahn, Sunanda Biswas, Caecilia Maichle-Moessmer, Claudio Schrenk, Andreas Schnepf, Holger Bettinger|2018|Pure Appl.Chem.|90|711|doi:10.1515/pac-2017-1103
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczgrpv
title: CCDC 907918: Experimental Crystal Structure Determination

description: Related Article: Qing Zhao, Jie-Jie Gao, Xu-Jie Qin, Xiao-Jiang Hao, Hong-Ping He, Hai-Yang Liu|2018|Org.Lett.|20|704|doi:10.1021/acs.orglett.7b03836
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczgrnt
title: CCDC 907917: Experimental Crystal Structure Determination

description: Related Article: Qing Zhao, Jie-Jie Gao, Xu-Jie Qin, Xiao-Jiang Hao, Hong-Ping He, Hai-Yang Liu|2018|Org.Lett.|20|704|doi:10.1021/acs.orglett.7b03836
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczml27
title: CCDC 912549: Experimental Crystal Structure Determination

description: Related Article: Tao Lu, Ya-Ting Jiang, Feng-Ping Ma, Zi-Jing Tang, Liu Kuang, Yu-Xuan Wang, Bin Wang|2017|Org.Lett.|19|6344|doi:10.1021/acs.orglett.7b03186
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczq6f9
title: CCDC 915071: Experimental Crystal Structure Determination

description: Related Article: Shubhangi Kakkar, Biswajit Bhattacharya, C. Malla Reddy, Soumyajit Ghosh|2018|CrystEngComm|20|1101|doi:10.1039/C7CE01915G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczq6b6
title: CCDC 915068: Experimental Crystal Structure Determination

description: Related Article: Shubhangi Kakkar, Biswajit Bhattacharya, C. Malla Reddy, Soumyajit Ghosh|2018|CrystEngComm|20|1101|doi:10.1039/C7CE01915G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczq6c7
title: CCDC 915069: Experimental Crystal Structure Determination

description: Related Article: Shubhangi Kakkar, Biswajit Bhattacharya, C. Malla Reddy, Soumyajit Ghosh|2018|CrystEngComm|20|1101|doi:10.1039/C7CE01915G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczq6d8
title: CCDC 915070: Experimental Crystal Structure Determination

description: Related Article: Shubhangi Kakkar, Biswajit Bhattacharya, C. Malla Reddy, Soumyajit Ghosh|2018|CrystEngComm|20|1101|doi:10.1039/C7CE01915G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczq684
title: CCDC 915066: Experimental Crystal Structure Determination

description: Related Article: Shubhangi Kakkar, Biswajit Bhattacharya, C. Malla Reddy, Soumyajit Ghosh|2018|CrystEngComm|20|1101|doi:10.1039/C7CE01915G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cczq695
title: CCDC 915067: Experimental Crystal Structure Determination

description: Related Article: Shubhangi Kakkar, Biswajit Bhattacharya, C. Malla Reddy, Soumyajit Ghosh|2018|CrystEngComm|20|1101|doi:10.1039/C7CE01915G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.21979/n9/3arclf
title: 3DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement

description: Despite advances in neural rendering, due to the scarcity of high-quality 3D datasets and the inherent limitations of multi-view diffusion models, view synthesis and 3D model generation are restricted to low resolutions with suboptimal multi-view consistency. In this study, we present a novel 3D enhancement pipeline, dubbed 3DEnhancer, which employs a multi-view latent diffusion model to enhance coarse 3D inputs while preserving multi-view consistency. Our method includes a pose-aware encoder and a diffusion-based denoiser to refine low-quality multi-view images, along with data augmentation and a multi-view attention module with epipolar aggregation to maintain consistent, high-quality 3D outputs across views. Unlike existing video-based approaches, our model supports seamless multi-view enhancement with improved coherence across diverse viewing angles. Extensive evaluations show that 3DEnhancer significantly outperforms existing methods, boosting both multi-view enhancement and per-instance 3D optimization tasks.
DOI: 10.5517/cczz468
title: CCDC 922690: Experimental Crystal Structure Determination

description: Related Article: Tarlok S. Lobana, Poonam Kumari, Alfonso Castineiras, Ray J. Butcher|2013|Eur.J.Inorg.Chem.|2013|3557|doi:10.1002/ejic.201300209
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cczz446
title: CCDC 922688: Experimental Crystal Structure Determination

description: Related Article: Tarlok S. Lobana, Poonam Kumari, Alfonso Castineiras, Ray J. Butcher|2013|Eur.J.Inorg.Chem.|2013|3557|doi:10.1002/ejic.201300209
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.