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Text-driven controllable dance generation remains under-explored, primarily due to the severe scarcity of high-quality datasets and the inherent difficulty of articulating complex choreographies. Characterizing dance is particularly…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Hang Yuan , Xiaolin Hu , Yan Wan , Menglin Gao , Wenzhe Yu , Cong Huang , Fei Xu , Qing Li , Christina Dan Wang , Zhou Yu , Kai Chen

We introduce Multimodal DuetDance (MDD), a diverse multimodal benchmark dataset designed for text-controlled and music-conditioned 3D duet dance motion generation. Our dataset comprises 620 minutes of high-quality motion capture data…

Graphics · Computer Science 2025-08-26 Prerit Gupta , Jason Alexander Fotso-Puepi , Zhengyuan Li , Jay Mehta , Aniket Bera

Generating full-body and multi-genre dance sequences from given music is a challenging task, due to the limitations of existing datasets and the inherent complexity of the fine-grained hand motion and dance genres. To address these…

Computer Vision and Pattern Recognition · Computer Science 2023-08-31 Ronghui Li , Junfan Zhao , Yachao Zhang , Mingyang Su , Zeping Ren , Han Zhang , Yansong Tang , Xiu Li

Music-driven 3D dance generation offers significant creative potential, yet practical applications demand versatile and multimodal control. As the highly dynamic and complex human motion covering various styles and genres, dance generation…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Jinlu Zhang , Zixi Kang , Libin Liu , Jianlong Chang , Qi Tian , Feng Gao , Yizhou Wang

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

How to automatically synthesize natural-looking dance movements based on a piece of music is an incrementally popular yet challenging task. Most existing data-driven approaches require hard-to-get paired training data and fail to generate…

Computer Vision and Pattern Recognition · Computer Science 2023-03-30 Bin Feng , Tenglong Ao , Zequn Liu , Wei Ju , Libin Liu , Ming Zhang

The seamless integration of music with dance movements is essential for communicating the artistic intent of a dance piece. This alignment also significantly improves the immersive quality of gaming experiences and animation productions.…

Sound · Computer Science 2024-09-16 Sifei Li , Weiming Dong , Yuxin Zhang , Fan Tang , Chongyang Ma , Oliver Deussen , Tong-Yee Lee , Changsheng Xu

Dance video is one of the important types of narrative videos with semantic rich content. This paper proposes a new meta model, Dance Video Content Model (DVCM) to represent the expressive semantics of the dance videos at multiple…

Multimedia · Computer Science 2010-01-05 Rajkumar Kannan , Balakrishnan Ramadoss

Dance and music are closely related forms of expression, with mutual retrieval between dance videos and music being a fundamental task in various fields like education, art, and sports. However, existing methods often suffer from unnatural…

Sound · Computer Science 2023-10-17 Kaixing Yang , Xukun Zhou , Xulong Tang , Ran Diao , Hongyan Liu , Jun He , Zhaoxin Fan

The task of music-driven dance generation involves creating coherent dance movements that correspond to the given music. While existing methods can produce physically plausible dances, they often struggle to generalize to out-of-set data.…

Sound · Computer Science 2024-11-12 Bo Han , Teng Zhang , Zeyu Ling , Yi Ren , Xiang Yin , Feilin Han

Pose-estimation methods enable extracting human motion from common videos in the structured form of 3D skeleton sequences. Despite great application opportunities, effective content-based access to such spatio-temporal motion data is a…

Computer Vision and Pattern Recognition · Computer Science 2024-07-03 Nicola Messina , Jan Sedmidubsky , Fabrizio Falchi , Tomáš Rebok

Due to recent advances in pose-estimation methods, human motion can be extracted from a common video in the form of 3D skeleton sequences. Despite wonderful application opportunities, effective and efficient content-based access to large…

Computer Vision and Pattern Recognition · Computer Science 2023-10-05 Nicola Messina , Jan Sedmidubsky , Fabrizio Falchi , Tomáš Rebok

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

We propose a novel task for generating 3D dance movements that simultaneously incorporate both text and music modalities. Unlike existing works that generate dance movements using a single modality such as music, our goal is to produce…

Computer Vision and Pattern Recognition · Computer Science 2023-10-03 Kehong Gong , Dongze Lian , Heng Chang , Chuan Guo , Zihang Jiang , Xinxin Zuo , Michael Bi Mi , Xinchao Wang

Music-to-dance translation is a brand-new and powerful feature in recent role-playing games. Players can now let their characters dance along with specified music clips and even generate fan-made dance videos. Previous works of this topic…

Computer Vision and Pattern Recognition · Computer Science 2020-09-29 Yinglin Duan , Tianyang Shi , Zhengxia Zou , Jia Qin , Yifei Zhao , Yi Yuan , Jie Hou , Xiang Wen , Changjie Fan

Although audio-visual representation has been proved to be applicable in many downstream tasks, the representation of dancing videos, which is more specific and always accompanied by music with complex auditory contents, remains challenging…

Sound · Computer Science 2023-08-11 Jiashuo Yu , Junfu Pu , Ying Cheng , Rui Feng , Ying Shan

Composed video retrieval is a challenging task that strives to retrieve a target video based on a query video and a textual description detailing specific modifications. Standard retrieval frameworks typically struggle to handle the…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Omkar Thawakar , Dmitry Demidov , Ritesh Thawkar , Rao Muhammad Anwer , Mubarak Shah , Fahad Shahbaz Khan , Salman Khan

Music-driven choreography is a challenging problem with a wide variety of industrial applications. Recently, many methods have been proposed to synthesize dance motions from music for a single dancer. However, generating dance motion for a…

Multimedia · Computer Science 2023-03-28 Nhat Le , Thang Pham , Tuong Do , Erman Tjiputra , Quang D. Tran , Anh Nguyen

Music-driven dance generation is a challenging task as it requires strict adherence to genre-specific choreography while ensuring physically realistic and precisely synchronized dance sequences with the music's beats and rhythm. Although…

Graphics · Computer Science 2026-04-21 Xinran Liu , Xu Dong , Shenbin Qian , Diptesh Kanojia , Wenwu Wang , Zhenhua Feng

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
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