AI RESEARCH
EgoMotion: Hierarchical Reasoning and Diffusion for Egocentric Vision-Language Motion Generation
arXiv CS.CV
•
ArXi:2604.19105v1 Announce Type: new Faithfully modeling human behavior in dynamic environments is a foundational challenge for embodied intelligence. While conditional motion synthesis has achieved significant advances, egocentric motion generation remains largely underexplored due to the inherent complexity of first-person perception. In this work, we investigate Egocentric Vision-Language (Ego-VL) motion generation. This task requires synthesizing 3D human motion conditioned jointly on first-person visual observations and natural language instructions.