2 papers
cs.CV2026
MoRAE: Flow-Friendly Self-Supervised Latents for Text-to-Motion Generation
Yifei Zhu, Mingyi Shi, Yangyang Cai +3
Text-to-motion generation must produce motions that are semantically correct, temporally coherent, and physically plausible. A natural approach is to first project motion data into…
cs.LG2026
Generative Learning as a Tool to Improve Perception of Emotional Body Motion Expressions
Huakun Liu, Miao Cheng, Xin Wei +6
Emotional body motion expressions are an essential element of non-verbal communication. Effectively conveying these expressions through technology is of utmost importance, for exam…