English(EN) Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

新路线图提出视觉生成向智能体世界建模演进

作者 PulseAugur 编辑部 · [2 个来源] · 2026-04-30 17:59

一篇新论文提出了一个框架，旨在推动视觉生成模型超越照片级真实感，朝着能够理解结构、因果关系和长期一致性的智能系统发展。作者引入了一个从原子生成到世界建模生成的五级分类法，以对这些进展进行分类。该论文还分析了关键技术驱动因素，并批评了当前的评估方法，建议未来发展采用以能力为中心的方法。 AI

影响提出了一种新的分类法和评估框架，以推动视觉生成能力超越当前限制。

排序理由学术论文，提出了一种新的视觉生成模型分类法和路线图。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.CV TIER_1 English(EN) · Keming Wu, Zuhao Yang, Kaichen Zhang, Shizun Wang, Haowei Zhu, Sicong Leng, Zhongyu Yang, Qijie Wang, Sudong Wang, Ziting Wang, Zili Wang, Hui Zhang, Haonan Wang, Hang Zhou, Yifan Pu, Xingxuan Li, Fangneng Zhan, Bo Li, Lidong Bing, Yuxin Song, Ziwei Liu, · 2026-05-01 04:00

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

arXiv:2604.28185v1 Announce Type: new Abstract: Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle with spatial reasoning, persistent state, long-horizon consistency, and ca…
arXiv cs.CV TIER_1 English(EN) · Bin Wang · 2026-04-30 17:59

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling

Recent visual generation models have made major progress in photorealism, typography, instruction following, and interactive editing, yet they still struggle with spatial reasoning, persistent state, long-horizon consistency, and causal understanding. We argue that the field shou…