Motion Collapse

Motion collapse is a degenerative phenomenon that occurs during reinforcement learning reward optimization of video generation models. The model, driven to maximize proxy reward scores, tends to generate low-dynamic or near-static frames, sacrificing the motion coherence and realism expected of generated video.