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MoSE3: Learning World-Space SE(3) at Every Pixel

Paper recorded by Signals 4 on 2026-10-02 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-02 on arXiv · recorded by Signals 4 on 2026-10-05

Category: cs.CV · 计算机视觉 · first seen 2026-10-05

Abstract

Dense 3D point tracking has been a prominent paradigm for modeling motion in dynamic scenes, but a point track is just a 3-DoF translation curve per pixel: it captures where pixels go, not the rotation of the underlying part, nor which pixels move together as one body. We propose MoSE3, the first feed-forward model that predicts dense SE(3) motion from monocular RGB video, producing full 6-DoF rig

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#365 most recent of 756 cs.CV papers we have recorded · ↑ newer: Video Encoders Built on Image Representations · ↓ older: Decoding the Functional Roles of Register and High-Norm Patch Tokens i
Cite this page: MoSE3: Learning World-Space SE(3) at Every Pixel: the #365 most recent of 756 cs.CV papers we have recorded (as of 2026-10-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mose3-learning-world-space-se-3-at-every-pixel.html
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