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In music-driven dance motion generation, most existing methods use hand-crafted features and neglect that music foundation models have profoundly impacted cross-modal content generation. To bridge this gap, we propose a diffusion-based…

Sound · Computer Science 2025-02-28 Xinran Liu , Zhenhua Feng , Diptesh Kanojia , Wenwu Wang

Existing music-driven 3D dance generation methods mainly concentrate on high-quality dance generation, but lack sufficient control during the generation process. To address these issues, we propose a unified framework capable of generating…

Sound · Computer Science 2024-03-21 Ronghui Li , Yuqin Dai , Yachao Zhang , Jun Li , Jian Yang , Jie Guo , Xiu Li

Music-driven 3D dance generation has attracted increasing attention in recent years, with promising applications in choreography, virtual reality, and creative content creation. Previous research has generated promising realistic dance…

Sound · Computer Science 2026-02-24 Kaixing Yang , Xulong Tang , Ziqiao Peng , Yuxuan Hu , Jun He , Hongyan Liu

Dance plays an important role as an artistic form and expression in human culture, yet automatically generating dance sequences is a significant yet challenging endeavor. Existing approaches often neglect the critical aspect of…

Computer Vision and Pattern Recognition · Computer Science 2026-03-11 Hongsong Wang , Ying Zhu , Xin Geng , Liang Wang

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

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 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

When hearing music, it is natural for people to dance to its rhythm. Automatic dance generation, however, is a challenging task due to the physical constraints of human motion and rhythmic alignment with target music. Conventional…

Graphics · Computer Science 2023-08-08 Qiaosong Qi , Le Zhuo , Aixi Zhang , Yue Liao , Fei Fang , Si Liu , Shuicheng Yan

Existing music-driven dance generation approaches have achieved strong realism and effective audio-motion alignment. However, they generally lack semantic controllability, making it difficult to guide specific movements through natural…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Xinran Liu , Diptesh Kanojia , Wenwu Wang , Zhenhua Feng

Synthesize human motions from music, i.e., music to dance, is appealing and attracts lots of research interests in recent years. It is challenging due to not only the requirement of realistic and complex human motions for dance, but more…

Computer Vision and Pattern Recognition · Computer Science 2020-03-12 Wenlin Zhuang , Congyi Wang , Siyu Xia , Jinxiang Chai , Yangang Wang

Dancing with music is always an essential human art form to express emotion. Due to the high temporal-spacial complexity, long-term 3D realist dance generation synchronized with music is challenging. Existing methods suffer from the…

Computer Vision and Pattern Recognition · Computer Science 2023-08-24 Siqi Yang , Zejun Yang , Zhisheng Wang

Music-driven 3D dance generation has become an intensive research topic in recent years with great potential for real-world applications. Most existing methods lack the consideration of genre, which results in genre inconsistency in the…

Sound · Computer Science 2023-04-26 Haolin Zhuang , Shun Lei , Long Xiao , Weiqin Li , Liyang Chen , Sicheng Yang , Zhiyong Wu , Shiyin Kang , Helen Meng

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

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

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

Dance is an important human art form, but creating new dances can be difficult and time-consuming. In this work, we introduce Editable Dance GEneration (EDGE), a state-of-the-art method for editable dance generation that is capable of…

Sound · Computer Science 2022-11-29 Jonathan Tseng , Rodrigo Castellon , C. Karen Liu

Recent advances in dance generation have enabled the automatic synthesis of 3D dance motions. However, existing methods still face significant challenges in simultaneously achieving high realism, precise dance-music synchronization, diverse…

Music-driven group choreography poses a considerable challenge but holds significant potential for a wide range of industrial applications. The ability to generate synchronized and visually appealing group dance motions that are aligned…

Computer Vision and Pattern Recognition · Computer Science 2023-11-07 Nhat Le , Tuong Do , Khoa Do , Hien Nguyen , Erman Tjiputra , Quang D. Tran , Anh Nguyen

Dance-driven music generation aims to generate musical pieces conditioned on dance videos. Previous works focus on monophonic or raw audio generation, while the multi-instruments scenario is under-explored. The challenges associated with…

Multimedia · Computer Science 2024-02-28 Bo Han , Yuheng Li , Yixuan Shen , Yi Ren , Feilin Han

Image animation has become a promising area in multimodal research, with a focus on generating videos from reference images. While prior work has largely emphasized generic video generation guided by text, music-driven dance video…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Zhikang Dong , Weituo Hao , Ju-Chiang Wang , Peng Zhang , Pawel Polak
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