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Related papers: DanceAnyWay: Synthesizing Beat-Guided 3D Dances wi…

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Synthesizing dynamic appearances of humans in motion plays a central role in applications such as AR/VR and video editing. While many recent methods have been proposed to tackle this problem, handling loose garments with complex textures…

Computer Vision and Pattern Recognition · Computer Science 2021-11-12 Tuanfeng Y. Wang , Duygu Ceylan , Krishna Kumar Singh , Niloy J. Mitra

Synthesizing realistic human-object interaction motions is a critical problem in VR/AR and human animation. Unlike the commonly studied scenarios involving a single human or hand interacting with one object, we address a more generic…

Computer Vision and Pattern Recognition · Computer Science 2025-07-31 Wenkun He , Yun Liu , Ruitao Liu , Li Yi

Footsteps are among the most ubiquitous sound effects in multimedia applications. There is substantial research into understanding the acoustic features and developing synthesis models for footstep sound effects. In this paper, we present a…

Sound · Computer Science 2021-12-13 Marco Comunità , Huy Phan , Joshua D. Reiss

Recent works on dynamic 3D neural field reconstruction assume the input from synchronized multi-view videos whose poses are known. The input constraints are often not satisfied in real-world setups, making the approach impractical. We show…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Changwoon Choi , Jeongjun Kim , Geonho Cha , Minkwan Kim , Dongyoon Wee , Young Min Kim

Recent advancements in human video synthesis have enabled the generation of high-quality videos through the application of stable diffusion models. However, existing methods predominantly concentrate on animating solely the human element…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Jinlin Liu , Kai Yu , Mengyang Feng , Xiefan Guo , Miaomiao Cui

Generative models have emerged as an essential building block for many image synthesis and editing tasks. Recent advances in this field have also enabled high-quality 3D or video content to be generated that exhibits either multi-view or…

Computer Vision and Pattern Recognition · Computer Science 2023-08-10 Sherwin Bahmani , Jeong Joon Park , Despoina Paschalidou , Hao Tang , Gordon Wetzstein , Leonidas Guibas , Luc Van Gool , Radu Timofte

Well-coordinated, music-aligned holistic dance enhances emotional expressiveness and audience engagement. However, generating such dances remains challenging due to the scarcity of holistic 3D dance datasets, the difficulty of achieving…

Multimedia · Computer Science 2025-07-30 Xiaojie Li , Ronghui Li , Shukai Fang , Shuzhao Xie , Xiaoyang Guo , Jiaqing Zhou , Junkun Peng , Zhi Wang

Generating realistic human videos remains a challenging task, with the most effective methods currently relying on a human motion sequence as a control signal. Existing approaches often use existing motion extracted from other videos, which…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Hsin-Ping Huang , Yang Zhou , Jui-Hsien Wang , Difan Liu , Feng Liu , Ming-Hsuan Yang , Zhan Xu

Different people have different facial expressions while speaking emotionally. A realistic facial animation system should consider such identity-specific speaking styles and facial idiosyncrasies to achieve high-degree of naturalness and…

Artificial Intelligence · Computer Science 2023-10-27 Elif Bozkurt

Movement is how people interact with and affect their environment. For realistic character animation, it is necessary to synthesize such interactions between virtual characters and their surroundings. Despite recent progress in character…

Graphics · Computer Science 2023-02-03 Mohamed Hassan , Yunrong Guo , Tingwu Wang , Michael Black , Sanja Fidler , Xue Bin Peng

Generating vivid and diverse 3D co-speech gestures is crucial for various applications in animating virtual avatars. While most existing methods can generate gestures from audio directly, they usually overlook that emotion is one of the key…

Computer Vision and Pattern Recognition · Computer Science 2024-01-04 Xingqun Qi , Chen Liu , Lincheng Li , Jie Hou , Haoran Xin , Xin Yu

Current text conditioned image generation methods output realistic looking images, but they fail to capture specific styles. Simply finetuning them on the target style datasets still struggles to grasp the style features. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Serkan Ozturk , Samet Hicsonmez , Pinar Duygulu

Generating 3D human motions from text is a challenging yet valuable task. The key aspects of this task are ensuring text-motion consistency and achieving generation diversity. Although recent advancements have enabled the generation of…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Zheng Qin , Yabing Wang , Minghui Yang , Sanping Zhou , Ming Yang , Le Wang

We hypothesize dance as a motion that forms a visual rhythm from music, where the visual rhythm can be perceived from an optical flow. If an agent can recognize the relationship between visual rhythm and music, it will be able to dance by…

Computer Vision and Pattern Recognition · Computer Science 2024-05-31 Hyemin Ahn

Quadruped locomotion is rapidly maturing to a degree where robots now routinely traverse a variety of unstructured terrains. However, while gaits can be varied typically by selecting from a range of pre-computed styles, current planners are…

Indoor scene synthesis has become increasingly important with the rise of Embodied AI, which requires 3D environments that are not only visually realistic but also physically plausible and functionally diverse. While recent approaches have…

Graphics · Computer Science 2025-10-28 Yandan Yang , Baoxiong Jia , Shujie Zhang , Siyuan Huang

Portrait stylization is a long-standing task enabling extensive applications. Although 2D-based methods have made great progress in recent years, real-world applications such as metaverse and games often demand 3D content. On the other…

Computer Vision and Pattern Recognition · Computer Science 2023-04-20 Zhuo Chen , Xudong Xu , Yichao Yan , Ye Pan , Wenhan Zhu , Wayne Wu , Bo Dai , Xiaokang Yang

The ability to generate complex and realistic human body animations at scale, while following specific artistic constraints, has been a fundamental goal for the game and animation industry for decades. Popular techniques include…

Computer Vision and Pattern Recognition · Computer Science 2020-05-29 Yi Zhou , Jingwan Lu , Connelly Barnes , Jimei Yang , Sitao Xiang , Hao li

Despite exhibiting impressive performance in synthesizing lifelike personalized 3D talking heads, prevailing methods based on radiance fields suffer from high demands for training data and time for each new identity. This paper introduces…

Computer Vision and Pattern Recognition · Computer Science 2025-02-28 Jiahe Li , Jiawei Zhang , Xiao Bai , Jin Zheng , Jun Zhou , Lin Gu

Web agents struggle to adapt to new websites due to the scarcity of environment specific tasks and demonstrations. Recent works have explored synthetic data generation to address this challenge, however, they suffer from data quality issues…