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cs.CV2026
MotionVLA: Vision-Language-Action Model for Humanoid Motion
Nonghai Zhang, Siyu Zhai, Yanjun Li +5
Generating realistic humanoid motion from scene images and text involves both low-frequency pose semantics and high-frequency physical dynamics. However, many existing methods toke…
cs.CV2026
Seedance 2.0: Advancing Video Generation for World Complexity
Team Seedance, De Chen, Liyang Chen +168
Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…