LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation
Paper recorded by Signals 4 on 2026-08-28 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-08-28 on arXiv · recorded by Signals 4 on 2026-08-31
Category: cs.CV · 计算机视觉 · first seen 2026-08-31
Abstract
Autoregressive video diffusion enables scalable long-video generation by producing chunks from a bounded recent context. While recency-based caching preserves local continuity, it evicts historical cues needed when subjects, objects, scenes, or attributes reappear. Existing memory mechanisms expose models to nonlocal history, but access alone does not ensure effective use. Our analysis reveals tha
Read on arXiv →
Cite this page: LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation: the #227 most recent of 237 cs.CV papers we have recorded (as of 2026-08-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/layerrecall-a-state-conditioned-memory-router-for-long-horizon-consistency-in-vi.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable:
papers.json
Get 4 AI signals a day by email — free.
Get 4 AI signals a day by email — free