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ALPS: Visual State Encoders for World Models

Paper recorded by Signals 4 on 2026-10-21 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-21 on arXiv · recorded by Signals 4 on 2026-10-22

Category: cs.CV · 计算机视觉 · first seen 2026-10-22

Abstract

World models turn visual representations into predictions and actions. We argue that their visual foundation should combine physical-state information, native language alignment, and pixel reconstruction, so that a single representation can support prediction, instruction, and inspection. However, existing encoders typically specialize in only one or two of these capabilities; we therefore introdu

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#191 most recent of 756 cs.CV papers we have recorded · ↑ newer: VoxProg: 3D Spatial Reasoning through Voxel Programming · ↓ older: ProactEgoMem: Benchmarking Proactive Memory in Streaming Egocentric Vi
Cite this page: ALPS: Visual State Encoders for World Models: the #191 most recent of 756 cs.CV papers we have recorded (as of 2026-10-21). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/alps-visual-state-encoders-for-world-models.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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