arXiv 2610.20571 · cs.CV · 2026-10-14
Any Time, Any Space: A World-State-Centric Framework for Agentic Video Generation
Weijie Wang, Haomin Zhang, Ye Li, Akide Liu, Zeyu Zhang, Haoyu Zhao, Yefei He, Donny Y. Chen 等 10 人
Zhejiang University
在最新榜 #18 2026-W42 第 4 名 本站收录于 2026-10-21
一句话要点
ATAS 用场景记忆和事件记忆把剧本编译成镜头，让长视频在时空上前后一致。
ATAS compiles screenplays into shots backed by scene and event memories so long agentic videos stay spatially and temporally consistent.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题：视觉生成
- MaLiang-Harness: A Programmable Path to Image and Video Generation ▲367
- DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models ▲325
- UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation ▲197
- Matrix-Game 4.0: Harnessing Video Models for Real-Time Playable Game Worlds ▲182
- Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation ▲174
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。