2 papers
cs.GR2026
SWIM: Compact Environment Representation for Reinforcement Learning Human Swimming
Binglun Wang, Edmond S. L. Ho, Doğa Yılmaz +2
Deep reinforcement learning (RL) has driven rapid progress in physically-based motion generation, yet synthesizing robust motion policies in dense fluid environments (e.g. swimming…
cs.CV2025
FinePhys: Fine-grained Human Action Generation by Explicitly Incorporating Physical Laws for Effective Skeletal Guidance
Dian Shao, Mingfei Shi, Shengda Xu +3
Despite significant advances in video generation, synthesizing physically plausible human actions remains a persistent challenge, particularly in modeling fine-grained semantics an…