DreaMoving: A Human Dance Video Generation Framework based on Diffusion Models
arxiv(2023)
摘要
In this paper, we present DreaMoving, a diffusion-based controllable video
generation framework to produce high-quality customized human dance videos.
Specifically, given target identity and posture sequences, DreaMoving can
generate a video of the target identity dancing anywhere driven by the posture
sequences. To this end, we propose a Video ControlNet for motion-controlling
and a Content Guider for identity preserving. The proposed model is easy to use
and can be adapted to most stylized diffusion models to generate diverse
results. The project page is available at
https://dreamoving.github.io/dreamoving.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要