RealWonder streams physics video from one image

RealWonder is interesting because it stops pretending pure pixel models can infer physics on their own and instead bolts a simulator directly into the generation loop.

• –The system uses 3D reconstruction, material estimation, physics simulation, and a fast flow-conditioned video model rather than training end-to-end on hard-to-collect action-video pairs
• –Conditioning on real actions like 3D forces and robot controls makes this much more relevant to robotics and interactive world modeling than standard image-to-video demos
• –The reported speed is the real hook: 13.2 FPS and 0.73s latency is dramatically more usable than baseline video generators that run around 0.1-0.2 FPS
• –The paper reports better physical realism and strong human preference over CogVideoX-I2V, Tora, and PhysGaussian, which supports the hybrid simulator-plus-generator approach
• –The catch is the upfront scene reconstruction and material estimation pipeline, so this still looks more like an advanced research prototype than a plug-and-play production stack