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Point4D: Long-range 4D Motion Reconstruction

arXiv · AI, language, vision and robotics · article · Sep 8, 2026 · UTC

We introduce Point4D, a feed-forward model for 4D reconstruction of long-range video sequences. Point4D is able to reliably infer dense per-point 3D trajectories across multi-hundred-frame videos, unlike existing 4D methods that are limited to short input windows of at most a few dozen frames. A key innovation that enables this is our flexible 3D query-based motion decoder that decouples trajectory prediction from image-plane visibility. The predicted 3D endpoints are then directly re-queried in the next chunk without re-projection or matching. Furthermore, we show that extracting and reusing

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First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.