2026
MAD: Motion Appearance Decoupling for efficient Driving World Models
CVPR 2026
Recent video diffusion models generate photorealistic, temporally coherent videos, yet they fall short as reliable world models for autonomous driving, where structured motion and physically consistent interactions are essential. Adapting these generalist video models to driving domains has shown pr