Point4D: Long-range 4D Motion Reconstruction

• URL: http://arxiv.org/abs/2609.09145v1
• Date: Tue, 08 Sep 2026 17:58:35 GMT
• Title: Point4D: Long-range 4D Motion Reconstruction
• Abstract summary: Point4D is a feed-forward model for 4D reconstruction of long-range video sequences.<n>It infers dense per-point 3D trajectories across multi-hundred-frame videos.<n>Point4D achieves state-of-the-art performance across diverse long-video tracking benchmarks spanning over 200 frames.
• Score: 65.17899850222707
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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 a visual descriptor from an arbitrary frame where the point is visible leads to better performance than relying solely on the source patch. Overall, Point4D achieves state-of-the-art performance across diverse long-video tracking benchmarks spanning over 200 frames and largely outperforms previous feed-forward 4D method. Project page: https://point-4d.github.io

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