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Related papers: DanceCamAnimator: Keyframe-Based Controllable 3D D…

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Choreographers determine what the dances look like, while cameramen determine the final presentation of dances. Recently, various methods and datasets have showcased the feasibility of dance synthesis. However, camera movement synthesis…

Computer Vision and Pattern Recognition · Computer Science 2024-03-21 Zixuan Wang , Jia Jia , Shikun Sun , Haozhe Wu , Rong Han , Zhenyu Li , Di Tang , Jiaqing Zhou , Jiebo Luo

Existing keyframe-based motion synthesis mainly focuses on the generation of cyclic actions or short-term motion, such as walking, running, and transitions between close postures. However, these methods will significantly degrade the…

Computer Vision and Pattern Recognition · Computer Science 2022-07-14 Junjun Pan , Siyuan Wang , Junxuan Bai , Ju Dai

Generating 3D dances from music is an emerged research task that benefits a lot of applications in vision and graphics. Previous works treat this task as sequence generation, however, it is challenging to render a music-aligned long-term…

Artificial Intelligence · Computer Science 2023-07-28 Buyu Li , Yongchi Zhao , Zhelun Shi , Lu Sheng

3D human dance motion is a cooperative and elegant social movement. Unlike regular simple locomotion, it is challenging to synthesize artistic dance motions due to the irregularity, kinematic complexity and diversity. It requires the…

Graphics · Computer Science 2020-06-11 Wenlin Zhuang , Yangang Wang , Joseph Robinson , Congyi Wang , Ming Shao , Yun Fu , Siyu Xia

We present a framework for generating music-synchronized, choreography aware animal dance videos. Our framework introduces choreography patterns -- structured sequences of motion beats that define the long-range structure of a dance -- as a…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Xiaojuan Wang , Aleksander Holynski , Brian Curless , Ira Kemelmacher , Steve Seitz

We present DanceAnyWay, a generative learning method to synthesize beat-guided dances of 3D human characters synchronized with music. Our method learns to disentangle the dance movements at the beat frames from the dance movements at all…

Sound · Computer Science 2024-11-26 Aneesh Bhattacharya , Manas Paranjape , Uttaran Bhattacharya , Aniket Bera

With the ongoing pandemic, virtual concerts and live events using digitized performances of musicians are getting traction on massive multiplayer online worlds. However, well choreographed dance movements are extremely complex to animate…

Computer Vision and Pattern Recognition · Computer Science 2020-08-20 Jiaman Li , Yihang Yin , Hang Chu , Yi Zhou , Tingwu Wang , Sanja Fidler , Hao Li

Creating expressive character animations is labor-intensive, requiring intricate manual adjustment of animators across space and time. Previous works on controllable motion generation often rely on a predefined set of dense spatio-temporal…

Graphics · Computer Science 2025-07-28 Inwoo Hwang , Jinseok Bae , Donggeun Lim , Young Min Kim

Although recent text-to-video generative models are getting more capable of following external camera controls, imposed by either text descriptions or camera trajectories, they still struggle to generalize to unconventional camera motions,…

Computer Vision and Pattern Recognition · Computer Science 2025-10-30 Qiucheng Wu , Handong Zhao , Zhixin Shu , Jing Shi , Yang Zhang , Shiyu Chang

Recent advances in 3D scene reconstruction and 4D human animation have broadened adoption, but integrating the two remains difficult. Key challenges include placing humans at plausible locations and scales without interpenetration, aligning…

Computer Vision and Pattern Recognition · Computer Science 2026-03-02 Qingyang Liu , Bingjie Gao , Weiheng Huang , Jun Zhang , Zhongqian Sun , Yang Wei , Fengrui Liu , Zelin Peng , Qianli Ma , Shuai Yang , Zhaohe Liao , Haonan Zhao , Li Niu

Generating coherent and diverse human dances from music signals has gained tremendous progress in animating virtual avatars. While existing methods support direct dance synthesis, they fail to recognize that enabling users to edit dance…

Graphics · Computer Science 2025-08-26 Hengyuan Zhang , Zhe Li , Xingqun Qi , Mengze Li , Muyi Sun , Man Zhang , Sirui Han

Close your eyes and listen to music, one can easily imagine an actor dancing rhythmically along with the music. These dance movements are usually made up of dance movements you have seen before. In this paper, we propose to reproduce such…

Computer Vision and Pattern Recognition · Computer Science 2021-09-01 Xin Guo , Yifan Zhao , Jia Li

Markerless estimation of 3D Kinematics has the great potential to clinically diagnose and monitor movement disorders without referrals to expensive motion capture labs; however, current approaches are limited by performing multiple…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Marian Bittner , Wei-Tse Yang , Xucong Zhang , Ajay Seth , Jan van Gemert , Frans C. T. van der Helm

The beauty of synchronized dancing lies in the synchronization of body movements among multiple dancers. While dancers utilize camera recordings for their practice, standard video interfaces do not efficiently support their activities of…

Human-Computer Interaction · Computer Science 2022-09-15 Zhongyi Zhou , Anran Xu , Koji Yatani

The emergence of text-driven motion synthesis technique provides animators with great potential to create efficiently. However, in most cases, textual expressions only contain general and qualitative motion descriptions, while lack fine…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Dong Wei , Xiaoning Sun , Huaijiang Sun , Bin Li , Shengxiang Hu , Weiqing Li , Jianfeng Lu

Recently, diffusion models have shown their impressive ability in visual generation tasks. Besides static images, more and more research attentions have been drawn to the generation of realistic videos. The video generation not only has a…

Computer Vision and Pattern Recognition · Computer Science 2025-11-03 Yucheng Xing , Jinxing Yin , Xiaodong Liu

Keyframes are a standard representation for kinematic motion specification. Recent learned motion-inbetweening methods use keyframes as a way to control generative motion models, and are trained to generate life-like motion that matches the…

Graphics · Computer Science 2025-03-04 Purvi Goel , Haotian Zhang , C. Karen Liu , Kayvon Fatahalian

Ballroom dancing is a structured yet expressive motion category. Its highly diverse movement and complex interactions between leader and follower dancers make the understanding and synthesis challenging. We demonstrate that the three-point…

Graphics · Computer Science 2026-01-06 Peizhuo Li , Sebastian Starke , Yuting Ye , Olga Sorkine-Hornung

Synthesizing interaction-involved human motions has been challenging due to the high complexity of 3D environments and the diversity of possible human behaviors within. We present LAMA, Locomotion-Action-MAnipulation, to synthesize natural…

Computer Vision and Pattern Recognition · Computer Science 2023-09-11 Jiye Lee , Hanbyul Joo

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
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