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cs.CV2026
V-JEPA Policy: Building Effective World-Action Models on Predictive Visual Latents
Yang Zhang, Jiangyuan Zhao, Chenyou Fan +4
World-action models (WAMs) couple future visual-state prediction with action generation. By adapting video generators or image-editing models pretrained at scale, a prominent line…
cs.CV2026
ReMoGen: Open-Vocabulary Motion Generation via LLM Reasoning and Physics-Aware Refinement
Jiakun Zheng, Ting Xiao, Shiqin Cao +3
Text-to-motion (T2M) generation aims to control the behavior of a target character via textual descriptions. Leveraging text-motion paired datasets, existing T2M models have achiev…