Feb. 8, 2024, 5:47 a.m. | Canyu Zhang Youbao Tang Ning Zhang Ruei-Sung Lin Mei Han Jing Xiao Song Wang

cs.CV updates on arXiv.org arxiv.org

Dance serves as a powerful medium for expressing human emotions, but the lifelike generation of dance is still a considerable challenge. Recently, diffusion models have showcased remarkable generative abilities across various domains. They hold promise for human motion generation due to their adaptable many-to-many nature. Nonetheless, current diffusion-based motion generation models often create entire motion sequences directly and unidirectionally, lacking focus on the motion with local and bidirectional enhancement. When choreographing high-quality dance movements, people need to take into account …

challenge cs.cv cs.sd current dance diffusion diffusion model diffusion models domains eess.as emotions generative human human emotions medium nature

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