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Velox: Spatial Memory Makes World Models Efficient

Paper recorded by Signals 4 on 2026-10-15 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.CV · 计算机视觉 · first seen 2026-10-16

Abstract

Video world models turn actions and camera motion into long visual rollouts, making video a natural interface for interactive simulation. Such interaction requires responsive generation, yet coherent rollouts must retain visual memory of what has already been generated. Chunked video diffusion models usually keep this context in growing KV caches, so later chunks become progressively slower. To ad

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#259 most recent of 756 cs.CV papers we have recorded · ↑ newer: Not Just a Subject: Capturing Adaptive Scene-Specific Variance for Vis · ↓ older: ARC-SORT: Adaptive, Robust, Compensated Multi-Object Tracking with Int
Cite this page: Velox: Spatial Memory Makes World Models Efficient: the #259 most recent of 756 cs.CV papers we have recorded (as of 2026-10-15). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/velox-spatial-memory-makes-world-models-efficient.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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