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arXiv Computer Vision By Yixuan Ding, Jiahao Kong, Wei Huang, Ruijie Quan, Yi Yang

LayerRecall: A State-Conditioned Memory Router for Long-Horizon Consistency in Video Generation

Read the original on arXiv Computer Vision →

LayerRecall is a memory router for autoregressive video diffusion that selectively retrieves and injects historical key/value states into specific layers of the model, based on the current context. It addresses the problem that existing memory mechanisms expose nonlocal history but do not guarantee effective use, by recognizing that different layers prefer current, recent, or distant context. The method, combined with Cross‑Horizon Prediction Matching, achieves state‑of‑the‑art long‑range consistency on MemoBench and MovieBench while maintaining local continuity and incurring negligible inference overhead.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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