2 papers
cs.CV2024
ReinDiffuse: Crafting Physically Plausible Motions with Reinforced Diffusion Model
Gaoge Han, Mingjiang Liang, Jinglei Tang +3
Generating human motion from textual descriptions is a challenging task. Existing methods either struggle with physical credibility or are limited by the complexities of physics si…
cs.CV2023
HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback
Gaoge Han, Shaoli Huang, Mingming Gong +1
We introduce HuTuMotion, an innovative approach for generating natural human motions that navigates latent motion diffusion models by leveraging few-shot human feedback. Unlike exi…