World models stop guessing whole frames: learn an uncertainty map, let diffusion fill only what it must
D3WM splits next-frame prediction into a deterministic part and an uncertain part, using a learned uncertainty map to steer a diffusion model toward occlusions and dynamic textures, and it beats comparison world models on both robotic manipulation and camera motion.