Video-Point Model
A Cosmos3-based research system that jointly forecasts multi-view videos, persistent 3D point trajectories and optionally robot action chunks.
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Video-Point Model (VPM) learns future visual appearance together with the motion of persistent points in 3D. Its authors build on Cosmos3-Nano, adding multi-view camera conditioning and a trajectory head. An action-enabled extension also predicts robot action chunks.
The public package includes inference and training code, a VPM-DROID checkpoint, 10,000 simulated VPM-Data clips and the 1,200-clip VP-WorldBench. Code and VPM weights use CC BY-NC 4.0 for noncommercial use; Cosmos-derived portions and individual datasets carry their respective terms. Benchmark improvements are author-reported preprint results. The larger million-sample dataset and Cosmos3-Super version are planned releases, not part of the currently available package.