Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations
Paper recorded by Signals 4 on 2026-08-29 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-08-29 on arXiv · recorded by Signals 4 on 2026-09-01
Category: cs.CV · 计算机视觉 · first seen 2026-09-01
Abstract
JEPA world models make latent-space planning a practical route to control, but they are built almost exclusively on images. Whether latent prediction survives geometric observations is unclear: point clouds are sparse, unordered, and self-occluded, and with 0.3-15% of scene points moving, the slow-feature optimum of latent prediction compounds with the geometric shortcut of 3D self-supervision. We
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Cite this page: Does Latent Planning Survive Point Clouds? Action-Conditioned JEPA World Models for Geometric Observations: the #223 most recent of 237 cs.CV papers we have recorded (as of 2026-08-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/does-latent-planning-survive-point-clouds-action-conditioned-jepa-world-models-f.html
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