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Realistic, high-fidelity 3D facial animations are crucial for expressive avatar systems in human-computer interaction and accessibility. Although prior methods show promising quality, their reliance on the mesh domain limits their ability…

Computer Vision and Pattern Recognition · Computer Science 2025-07-22 Alexandre Symeonidis-Herzig , Özge Mercanoğlu Sincan , Richard Bowden

Developing systems that can synthesize natural and life-like motions for simulated characters has long been a focus for computer animation. But in order for these systems to be useful for downstream applications, they need not only produce…

Machine Learning · Computer Science 2023-02-01 Jordan Juravsky , Yunrong Guo , Sanja Fidler , Xue Bin Peng

World models for deformable objects should recover not only geometry and appearance, but also underlying physical dynamics, interaction grounding, and material behavior. Learning such a model from real videos is challenging because…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Can Li , Zhoujian Li , Ren Li , Jie Gu , Lei Lei , Jingmin Chen , Lei Sun

Reconstructing and simulating dynamic 3D scenes with both visual realism and physical consistency remains a fundamental challenge. Existing neural representations, such as NeRFs and 3DGS, excel in appearance reconstruction but struggle to…

Computer Vision and Pattern Recognition · Computer Science 2026-02-24 Dan Wang , Xinrui Cui , Serge Belongie , Ravi Ramamoorthi

Speech-driven 3D facial animation aims to synthesize vivid facial animations that accurately synchronize with speech and match the unique speaking style. However, existing works primarily focus on achieving precise lip synchronization while…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Hui Fu , Zeqing Wang , Ke Gong , Keze Wang , Tianshui Chen , Haojie Li , Haifeng Zeng , Wenxiong Kang

Recent video generation models have achieved remarkable progress and are now deployed in film, social media production, and advertising. Beyond their creative potential, such models also hold promise as world simulators for robotics and…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 David Romero , Ariana Bermudez , Viacheslav Iablochnikov , Hao Li , Fabio Pizzati , Ivan Laptev

Generating free-viewpoint videos is critical for immersive VR/AR experience but recent neural advances still lack the editing ability to manipulate the visual perception for large dynamic scenes. To fill this gap, in this paper we propose…

Computer Vision and Pattern Recognition · Computer Science 2021-05-03 Jiakai Zhang , Xinhang Liu , Xinyi Ye , Fuqiang Zhao , Yanshun Zhang , Minye Wu , Yingliang Zhang , Lan Xu , Jingyi Yu

Reconstructing physically plausible human motion from monocular videos remains a challenging problem in computer vision and graphics. Existing methods primarily focus on kinematics-based pose estimation, often leading to unrealistic results…

Computer Vision and Pattern Recognition · Computer Science 2025-10-06 Qiao Feng , Yiming Huang , Yufu Wang , Jiatao Gu , Lingjie Liu

We address the issue of physical implausibility in multi-view neural reconstruction. While implicit representations have gained popularity in multi-view 3D reconstruction, previous work struggles to yield physically plausible results,…

Computer Vision and Pattern Recognition · Computer Science 2024-11-01 Junfeng Ni , Yixin Chen , Bohan Jing , Nan Jiang , Bin Wang , Bo Dai , Puhao Li , Yixin Zhu , Song-Chun Zhu , Siyuan Huang

Despite substantial progress in text-driven 3D human motion synthesis, generating realistic multi-person interaction sequences remains challenging. Notably, body inter-penetration is a pervasive issue from both data acquisition to the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Nan Lei , Yuan-Ming Li , Ling-An Zeng , Liang Xu , Zhi-Wei Xia , Hui-Wen Huang , Fa-Ting Hong , Wei-Shi Zheng

The creation of lifelike speech-driven 3D facial animation requires a natural and precise synchronization between audio input and facial expressions. However, existing works still fail to render shapes with flexible head poses and natural…

Computer Vision and Pattern Recognition · Computer Science 2023-11-01 Wei Zhao , Yijun Wang , Tianyu He , Lianying Yin , Jianxin Lin , Xin Jin

The ultimate goal of video generation is to satisfy a fundamental trilemma: achieving high visual quality, maintaining rigorous physical consistency, and enabling precise controllability. While recent models can maintain this balance in…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Tianshuo Xu , Zhifei Chen , Leyi Wu , Hao Lu , Ying-cong Chen

While current vision algorithms excel at many challenging tasks, it is unclear how well they understand the physical dynamics of real-world environments. Here we introduce Physion, a dataset and benchmark for rigorously evaluating the…

Diffusion models have achieved remarkable progress in video generation, but their controllability remains a major limitation. Key scene factors such as layout, lighting, and camera trajectory are often entangled or only weakly modeled,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Ziqi Cai , Taoyu Yang , Zheng Chang , Si Li , Han Jiang , Shuchen Weng , Boxin Shi

The robotics field is evolving towards data-driven, end-to-end learning, inspired by multimodal large models. However, reliance on expensive real-world data limits progress. Simulators offer cost-effective alternatives, but the gap between…

Robotics · Computer Science 2025-12-23 Hongwei Fan , Hang Dai , Jiyao Zhang , Jinzhou Li , Qiyang Yan , Yujie Zhao , Mingju Gao , Jinghang Wu , Hao Tang , Hao Dong

Existing facial reenactment methods struggle with a trade-off between expressiveness and fine-grained controllability. Holistic facial reenactment models often sacrifice granular control for expressiveness, while methods designed for…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Chaonan Ji , Jinwei Qi , Sheng Xu , Peng Zhang , Bang Zhang

General physical scene understanding requires more than simply localizing and recognizing objects -- it requires knowledge that objects can have different latent properties (e.g., mass or elasticity), and that those properties affect the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-03 Hsiao-Yu Tung , Mingyu Ding , Zhenfang Chen , Daniel Bear , Chuang Gan , Joshua B. Tenenbaum , Daniel LK Yamins , Judith E Fan , Kevin A. Smith

Speech-driven 3D facial animation aims to synthesize realistic facial motion sequences from given audio, matching the speaker's speaking style. However, previous works often require priors such as class labels of a speaker or additional 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Hyung Kyu Kim , Sangmin Lee , Hak Gu Kim

Vision-and-language navigation requires an agent to navigate through a real 3D environment following natural language instructions. Despite significant advances, few previous works are able to fully utilize the strong correspondence between…

Computer Vision and Pattern Recognition · Computer Science 2020-10-06 Yicong Hong , Cristian Rodriguez-Opazo , Qi Wu , Stephen Gould

Motion-controllable image animation is a fundamental task with a wide range of potential applications. Recent works have made progress in controlling camera or object motion via various motion representations, while they still struggle to…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Yingjie Chen , Yifang Men , Yuan Yao , Miaomiao Cui , Liefeng Bo
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