arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

世界模型

面向环境建模、时序预测、仿真规划、具身智能和自动驾驶的世界模型方法与应用。

共收录 6457 信号源:cs.AI, cs.LG, cs.CV, cs.RO, cs.MA

1. 通用世界模型 4314 篇

2509.03956 2025-09-05 cs.AI 90%

World Model Implanting for Test-time Adaptation of Embodied Agents

Minjong Yoo, Jinwoo Jang, Sihyung Yoon, Honguk Woo

机构 * Department of Computer Science and Engineering, Sungkyunkwan University(计算机科学与工程系,顺天大学)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Journal ref Forty-second International Conference on Machine Learning, 2025

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2506.13138 2025-09-03 cs.CV 90%

STAGE: A Stream-Centric Generative World Model for Long-Horizon Driving-Scene Simulation

Jiamin Wang, Yichen Yao, Xiang Feng, Hang Wu, Yaming Wang, Qingqiu Huang, Yuexin Ma, Xinge Zhu

机构 * ShanghaiTech University(上海科技大学) Yinwang Intelligent Technology Co. Ltd.(英伟达智能科技有限公司)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);driving world model(abstract);driving world model(abstract)

Comments Accepted for 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)

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2501.00226 2025-07-17 cs.AI cs.CL 90%

Generative Emergent Communication: Large Language Model is a Collective World Model

Tadahiro Taniguchi, Ryo Ueda, Tomoaki Nakamura, Masahiro Suzuki, Akira Taniguchi

机构 * Graduate School of Informatics, Kyoto University(京都大学信息科学研究生院) Graduate School of Engineering, The University of Tokyo(东京大学工学研究生院) Graduate School of Informatics and Engineering, The University of Electro-Communications(电通大学信息科学和工学研究生院) College of Information Science and Engineering, Ritsumeikan University(立命馆大学信息科学和工学学院)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2507.10539 2025-07-15 cs.LG 90%

Graph World Model

Tao Feng, Yexin Wu, Guanyu Lin, Jiaxuan You

机构 * Department of Computer Science, University of Illinois Urbana Champaign Urbana, IL, USA(计算机科学系,伊利诺伊大学厄巴纳-香槟分校)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2303.06572 2025-07-08 cs.LG cs.CV 90%

Continual Visual Reinforcement Learning with A Life-Long World Model

Minting Pan, Wendong Zhang, Geng Chen, Xiangming Zhu, Siyu Gao, Yunbo Wang, Xiaokang Yang

机构 * MoE Key Lab of Artificial Intelligence(人工智能MOE重点实验室) AI Institute(人工智能学院) Shanghai Jiao Tong University(上海交通大学)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);latent dynamics(abstract);model-based reinforcement learning(abstract)

Comments Accepted by ECML 2025

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2503.13952 2025-06-27 cs.CV 90%

SimWorld: A Unified Benchmark for Simulator-Conditioned Scene Generation via World Model

Xinqing Li, Ruiqi Song, Qingyu Xie, Ye Wu, Nanxin Zeng, Yunfeng Ai

机构 * The School of Artificial Intelligence, University of Chinese Academy of Sciences(人工智能学院,中国科学院大学) Waytous Inc.(Waytous公司) The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences(多模态人工智能系统国家重点实验室,中国科学院自动化研究所)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments 8 pages, 4 figures

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2506.13260 2025-06-17 cs.CV 90%

COME: Adding Scene-Centric Forecasting Control to Occupancy World Model

Yining Shi, Kun Jiang, Qiang Meng, Ke Wang, Jiabao Wang, Wenchao Sun, Tuopu Wen, Mengmeng Yang, Diange Yang

机构 * School of Vehicle and Mobility, Tsinghua University(清华大学车辆与移动系统学院) State Key Laboratory of Intelligent Green Vehicle and Mobility(智能绿色车辆与移动系统国家重点实验室) Kargobot Inc(Kargobot公司) Nankai University(南开大学)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2506.04363 2025-06-06 cs.CV 90%

WorldPrediction: A Benchmark for High-level World Modeling and Long-horizon Procedural Planning

Delong Chen, Willy Chung, Yejin Bang, Ziwei Ji, Pascale Fung

机构 * Meta FAIR Paris(Meta FAIR巴黎) The Hong Kong University of Science and Technology(香港科技大学) ISIR Sorbonne Université(索邦大学ISIR)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2506.01103 2025-06-03 cs.CV 90%

DeepVerse: 4D Autoregressive Video Generation as a World Model

Junyi Chen, Haoyi Zhu, Xianglong He, Yifan Wang, Jianjun Zhou, Wenzheng Chang, Yang Zhou, Zizun Li, Zhoujie Fu, Jiangmiao Pang, Tong He

机构 * SJTU(上海交通大学) Shanghai AI Lab(上海人工智能实验室) USTC(中国科学技术大学) THU(清华大学) ZJU(浙江大学) FDU(福建师范大学) NTU(国立台湾大学)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2504.13936 2025-05-21 cs.HC cs.LG cs.SY eess.SY 90%

ViMo: A Generative Visual GUI World Model for App Agents

Dezhao Luo, Bohan Tang, Kang Li, Georgios Papoudakis, Jifei Song, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao

机构 * Queen Mary University of London(伦敦女王学院) University of Oxford(牛津大学) Huawei Noah’s Ark Lab(华为诺亚实验室) University College London(伦敦大学学院)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments https://ai-agents-2030.github.io/ViMo/

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2504.15785 2025-04-23 cs.AI 90%

WALL-E 2.0: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang

机构 * Australian AI Institute, Faculty of Engineering and IT, University of Technology Sydney(澳大利亚人工智能研究所,工程与信息学院,悉尼大学) Department of Computer Science, University of Maryland, College Park(计算机科学系,马里兰大学,College Park) Tencent, China(腾讯,中国)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments Code is available at https://github.com/elated-sawyer/WALL-E

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2504.13820 2025-04-21 cs.CV 90%

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning

Yang Yue, Yulin Wang, Chenxin Tao, Pan Liu, Shiji Song, Gao Huang

机构 * Tsinghua University(清华大学) PLA General Hospital(中国人民解放军总医院)

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments Accepted by CVPR 2025

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2504.01941 2025-04-10 cs.CV 90%

End-to-End Driving with Online Trajectory Evaluation via BEV World Model

Yingyan Li, Yuqi Wang, Yang Liu, Jiawei He, Lue Fan, Zhaoxiang Zhang

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2504.04608 2025-04-08 cs.AI cs.SY eess.SY 90%

AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability

Fernando Rosas, Alexander Boyd, Manuel Baltieri

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments 38 pages, 5 figures

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2411.06559 2025-04-02 cs.AI 90%

Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Yu Gu, Kai Zhang, Yuting Ning, Boyuan Zheng, Boyu Gou, Tianci Xue, Cheng Chang, Sanjari Srivastava, Yanan Xie, Peng Qi, Huan Sun, Yu Su

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments 22 pages, 11 figures, 6 tables

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2503.15875 2025-03-21 cs.CV 90%

MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Haiguang Wang, Daqi Liu, Hongwei Xie, Haisong Liu, Enhui Ma, Kaicheng Yu, Limin Wang, Bing Wang

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments project website: https://github.com/xiaomi-mlab/mila.github.io

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2503.13814 2025-03-19 cs.CV 90%

FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data Classification

Jinping Wang, Weiwei Song, Hao Chen, Jinchang Ren, Huimin Zhao

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2502.13092 2025-02-25 cs.CL cs.AI 90%

Text2World: Benchmarking Large Language Models for Symbolic World Model Generation

Mengkang Hu, Tianxing Chen, Yude Zou, Yuheng Lei, Qiguang Chen, Ming Li, Yao Mu, Hongyuan Zhang, Wenqi Shao, Ping Luo

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments Project page: https://text-to-world.github.io/

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2501.13072 2025-01-24 cs.RO cs.AI 90%

AdaWM: Adaptive World Model based Planning for Autonomous Driving

Hang Wang, Xin Ye, Feng Tao, Chenbin Pan, Abhirup Mallik, Burhaneddin Yaman, Liu Ren, Junshan Zhang

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);latent dynamics(abstract);model based reinforcement learning(abstract)

Comments ICLR 2025

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2501.10116 2025-01-20 cs.MA 90%

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning

Zifeng Shi, Meiqin Liu, Senlin Zhang, Ronghao Zheng, Shanling Dong, Ping Wei

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments 9 pages, 5 figures

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2412.13772 2024-12-19 cs.CV 90%

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

Haiming Zhang, Ying Xue, Xu Yan, Jiacheng Zhang, Weichao Qiu, Dongfeng Bai, Bingbing Liu, Shuguang Cui, Zhen Li

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2406.03689 2024-11-12 cs.CL cs.AI 90%

Evaluating the World Model Implicit in a Generative Model

Keyon Vafa, Justin Y. Chen, Ashesh Rambachan, Jon Kleinberg, Sendhil Mullainathan

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2410.10429 2024-10-15 cs.CV 90%

DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Songen Gu, Wei Yin, Bu Jin, Xiaoyang Guo, Junming Wang, Haodong Li, Qian Zhang, Xiaoxiao Long

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments Please visit our project page at https://gusongen.github.io/DOME

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2410.07484 2024-10-15 cs.AI 90%

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents

Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments 35 pages, including references and appendix. Code is available at https://github.com/elated-sawyer/WALL-E

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2404.18202 2024-10-01 cs.AI cs.MM 90%

WorldGPT: Empowering LLM as Multimodal World Model

Zhiqi Ge, Hongzhe Huang, Mingze Zhou, Juncheng Li, Guoming Wang, Siliang Tang, Yueting Zhuang

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments update v2

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2309.12016 2024-05-30 cs.RO 90%

World Modeling for Autonomous Wheel Loaders

Koji Aoshima, Arvid Fälldin, Eddie Wadbro, Martin Servin

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments 23 pages, 19 figures

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2301.03793 2023-01-11 cs.RO 90%

Estimation of User's World Model Using Graph2vec

Tatsuya Sakai, Takayuki Nagai

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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2209.08035 2022-09-19 cs.LG cs.NE q-bio.NC 90%

A Biologically-Inspired Dual Stream World Model

Arthur Juliani, Margaret Sereno

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

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1408.0200 2014-08-04 cs.RO 90%

Towards a Domain Specific Language for a Scene Graph based Robotic World Model

Sebastian Blumenthal, Herman Bruyninckx

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world models(abstract);world models(abstract)

Comments Presented at DSLRob 2013 (arXiv:cs/1312.5952)

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2608.17769 2026-08-19 eess.SP 新提交 90%

Electromagnetic World Model for 6G: A Unified Framework for Joint Environment Reconstruction and Channel Prediction

面向6G的电磁世界模型:环境重建与信道预测的统一框架

Yizhu Zhao, Li Yu, Jianhua Zhang, Yuxiang Zhang, Zhen Zhang, Guangyi Liu

专题命中 通用世界模型 :world model(title,abstract);world model(title,abstract);world-model(abstract);world-model(abstract)

AI总结 该研究针对6G智能终端需同时实现环境感知与通信的需求,提出EMWM统一框架,融合多模态信息完成信道预测与环境重建,性能优于基线方法,具备鲁棒性与零样本泛化能力。

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