DriftWorld: Fast World Modeling through Drifting
DriftWorld is an action-conditioned world model designed to generate future video frames very quickly, achieving over 30 fps generation. It uses a drifting generative model that learns how to map noise distributions based on actions during training. This allows the model to predict future states efficiently for robot planning and policy evaluation.