arXiv Computer Vision By Nan Zhou, Jianxiong Gao, Qiuyu Wang, Wen Wang, Jiahao Wang, Yufeng Yuan, Shuaiting Li, Hao Ouyang, Yujun Shen, Weiming Lu, Jun Xiao, Yueting Zhuang, Yongliang Shen

WorldMemBench: A Comprehensive Benchmark for Memory of Video World Models

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arXiv Computer Vision
Aug 31

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

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.

By Yixuan Ding, Jiahao Kong, Wei Huang, Ruijie Quan, Yi Yang
arXiv Computer Vision
Sep 18

Can 4D Foundation Models Remember?

The paper "Can 4D Foundation Models Remember?" introduces PersistBench, a dataset and metric suite that uses 360° videos to evaluate visual memory in 4D foundation models. It focuses on three aspects—object permanence, motion continuity, and appearance preservation—to assess how well models remember objects after they leave the field of view. Experiments show that current models only maintain short‑term consistency, revealing a significant gap between perception and robust memory.

By Guangzhao He, Hadar Averbuch-Elor, Wei-Chiu Ma
arXiv Computer Vision
Sep 24

The Past Frames the Future: Memory for Autoregressive Video Generation

arXiv:2609.28466v1 Announce Type: new Abstract: Advances in generative models have improved video fidelity, enabling long-horizon generation, interactive world modeling, and evolving visual environme...

By Harold Haodong Chen, Rongjin Guo, Disen Lan, Wen-Jie Shu, Hongfei Zhang, Hanzhe Hu, Shengtao Yao, Zixin Zhang, Guibin Zhang, Zhefan Rao, Jinxiu Liu, Yexin Liu, Rui Peng, Yuhao Liu, Bin Ren, Shuai Yang, Yukang Chen, Salman Khan, Ying-Cong Chen, Ser-Nam Lim, Rynson W. H. Lau, Nicu Sebe, Yu Cheng, Ming-Hsuan Yang, Qifeng Chen