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OpenWorldLib: A Unified Codebase and Definition of Advanced World Models

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	DataFlow Team, Zeng, Bohan, Hua, Daili, Zhu, Kaixin, Dai, Yifan, Li, Bozhou, Wang, Yuran, Tong, Chengzhuo, Yang, Yifan, Chang, Mingkun, Zhao, Jianbin, Liu, Zhou, Liang, Hao, Ma, Xiaochen, An, Ruichuan, Niu, Junbo, Meng, Zimo, Bai, Tianyi, Qiang, Meiyi, Zhang, Huanyao, Xiao, Zhiyou, Guo, Tianyu, Yu, Qinhan, Zhao, Runhao, Li, Zhengpin, Huang, Xinyi, Pan, Yisheng, Tang, Yiwen, Tian, Juanxi, Shi, Yang, Ding, Yue, Chen, Xinlong, Gao, Hongcheng, Shi, Minglei, Wu, Jialong, Wang, Zekun, Zhang, Yuanxing, Wang, Xintao, Wan, Pengfei, Song, Yiren, Shou, Mike Zheng, Zhang, Wentao
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

_version_	1866911715096002560
author	DataFlow Team Zeng, Bohan Hua, Daili Zhu, Kaixin Dai, Yifan Li, Bozhou Wang, Yuran Tong, Chengzhuo Yang, Yifan Chang, Mingkun Zhao, Jianbin Liu, Zhou Liang, Hao Ma, Xiaochen An, Ruichuan Niu, Junbo Meng, Zimo Bai, Tianyi Qiang, Meiyi Zhang, Huanyao Xiao, Zhiyou Guo, Tianyu Yu, Qinhan Zhao, Runhao Li, Zhengpin Huang, Xinyi Pan, Yisheng Tang, Yiwen Tian, Juanxi Shi, Yang Ding, Yue Chen, Xinlong Gao, Hongcheng Shi, Minglei Wu, Jialong Wang, Zekun Zhang, Yuanxing Wang, Xintao Wan, Pengfei Song, Yiren Shou, Mike Zheng Zhang, Wentao
author_facet	DataFlow Team Zeng, Bohan Hua, Daili Zhu, Kaixin Dai, Yifan Li, Bozhou Wang, Yuran Tong, Chengzhuo Yang, Yifan Chang, Mingkun Zhao, Jianbin Liu, Zhou Liang, Hao Ma, Xiaochen An, Ruichuan Niu, Junbo Meng, Zimo Bai, Tianyi Qiang, Meiyi Zhang, Huanyao Xiao, Zhiyou Guo, Tianyu Yu, Qinhan Zhao, Runhao Li, Zhengpin Huang, Xinyi Pan, Yisheng Tang, Yiwen Tian, Juanxi Shi, Yang Ding, Yue Chen, Xinlong Gao, Hongcheng Shi, Minglei Wu, Jialong Wang, Zekun Zhang, Yuanxing Wang, Xintao Wan, Pengfei Song, Yiren Shou, Mike Zheng Zhang, Wentao
contents	World models have garnered significant attention as a promising research direction in artificial intelligence, yet a clear and unified definition remains lacking. In this paper, we introduce OpenWorldLib, a comprehensive and standardized inference framework for Advanced World Models. Drawing on the evolution of world models, we propose a clear definition: a world model is a model or framework centered on perception, equipped with interaction and long-term memory capabilities, for understanding and predicting the complex world. We further systematically categorize the essential capabilities of world models. Based on this definition, OpenWorldLib integrates models across different tasks within a unified framework, enabling efficient reuse and collaborative inference. Finally, we present additional reflections and analyses on potential future directions for world model research. Code link: https://github.com/OpenDCAI/OpenWorldLib
format	Preprint
id	arxiv_https___arxiv_org_abs_2604_04707
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	OpenWorldLib: A Unified Codebase and Definition of Advanced World Models DataFlow Team Zeng, Bohan Hua, Daili Zhu, Kaixin Dai, Yifan Li, Bozhou Wang, Yuran Tong, Chengzhuo Yang, Yifan Chang, Mingkun Zhao, Jianbin Liu, Zhou Liang, Hao Ma, Xiaochen An, Ruichuan Niu, Junbo Meng, Zimo Bai, Tianyi Qiang, Meiyi Zhang, Huanyao Xiao, Zhiyou Guo, Tianyu Yu, Qinhan Zhao, Runhao Li, Zhengpin Huang, Xinyi Pan, Yisheng Tang, Yiwen Tian, Juanxi Shi, Yang Ding, Yue Chen, Xinlong Gao, Hongcheng Shi, Minglei Wu, Jialong Wang, Zekun Zhang, Yuanxing Wang, Xintao Wan, Pengfei Song, Yiren Shou, Mike Zheng Zhang, Wentao Computer Vision and Pattern Recognition World models have garnered significant attention as a promising research direction in artificial intelligence, yet a clear and unified definition remains lacking. In this paper, we introduce OpenWorldLib, a comprehensive and standardized inference framework for Advanced World Models. Drawing on the evolution of world models, we propose a clear definition: a world model is a model or framework centered on perception, equipped with interaction and long-term memory capabilities, for understanding and predicting the complex world. We further systematically categorize the essential capabilities of world models. Based on this definition, OpenWorldLib integrates models across different tasks within a unified framework, enabling efficient reuse and collaborative inference. Finally, we present additional reflections and analyses on potential future directions for world model research. Code link: https://github.com/OpenDCAI/OpenWorldLib
title	OpenWorldLib: A Unified Codebase and Definition of Advanced World Models
topic	Computer Vision and Pattern Recognition
url	https://arxiv.org/abs/2604.04707