Awesome-World-Model and World-Models-Autonomous-Driving-Survey
These are competitors—both are curated survey repositories collecting academic papers on world models for autonomous driving, serving the same discovery and reference purpose with overlapping scope.
About Awesome-World-Model
LMD0311/Awesome-World-Model
Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.
Curated repository tracking world model research for autonomous driving and robotics, supplemented by a comprehensive survey (arXiv 2502.10498) that systematically analyzes predictive modeling approaches for 3D scene understanding and future generation. Organizes papers by technical methodology—including occupancy forecasting, generative video models, and unified perception-generation architectures—while indexing benchmark datasets (Argoverse 2, nuScenes) and CVPR workshop challenges. Serves as a living resource with community contributions, enabling researchers to track emerging model architectures (HERMES, UniFuture, GAIA-1) that unify perception and planning for embodied AI systems.
About World-Models-Autonomous-Driving-Survey
HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey
A curated list of world models for autonomous driving.
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