Discrete diffusion model with contrastive learning for music to natural and long dance generation

With the deep integration of culture and technology, the digital research on cultural content like music and dance is constantly evolving. This paper focuses on the research of music and dance generation, aiming to boost cultural dissemination. The core challenge of this task is to generate natural dance sequences that align with the duration of the provided music. Therefore, we propose a discrete diffusion model with contrastive learning. …