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New survey paper defines and categorizes 3D/4D world modeling in AI

A new survey paper published on arXiv provides a comprehensive review of 3D and 4D world modeling techniques in AI. It addresses the lack of standardized definitions and taxonomies in the field by establishing precise definitions and a structured classification system. The survey categorizes approaches into VideoGen, OccGen, and LiDARGen, and also summarizes relevant datasets, evaluation metrics, applications, and future research directions. AI

IMPACT Provides a foundational reference for researchers and practitioners in 3D and 4D AI world modeling.

RANK_REASON The cluster contains a survey paper on a specific AI research topic. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New survey paper defines and categorizes 3D/4D world modeling in AI

COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Lingdong Kong, Yu Yang, Jianbiao Mei, Youquan Liu, Ao Liang, Dekai Zhu, Dongyue Lu, Wei Yin, Xiaotao Hu, Mingkai Jia, Junyuan Deng, Kaiwen Zhang, Yang Wu, Tianyi Yan, Shenyuan Gao, Song Wang, Linfeng Li, Liang Pan, Yong Liu, Jianke Zhu, Wei Tsang Ooi, St… ·

    3D and 4D World Modeling: A Survey

    arXiv:2509.07996v4 Announce Type: replace Abstract: World modeling has become a cornerstone in AI research, enabling agents to understand, represent, and predict the dynamic environments they inhabit. While prior work largely emphasizes generative methods for 2D image and video d…