Awesome-World-Models and Awesome-World-Model
These are complementary resources that serve overlapping purposes—the first provides a broader theoretical foundation across world models, video generation, and embodied AI, while the second focuses specifically on autonomous driving applications, allowing researchers to use them together for both general context and domain-specific depth.
About Awesome-World-Models
leofan90/Awesome-World-Models
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.
This resource provides a curated collection of research papers focused on "World Models"—an advanced AI concept that allows systems to understand and simulate their environments. It helps researchers, engineers, and scientists find relevant publications on topics like general video generation, embodied AI for robotics, and autonomous driving. The output is a structured list of academic papers, including links to the papers, code, and related websites.
About Awesome-World-Model
LMD0311/Awesome-World-Model
Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.
This project compiles and tracks research papers on 'World Models' for autonomous driving and robotics. It provides a curated list of academic literature, surveys, and workshop information related to AI models that predict how the world behaves. Anyone researching or developing AI for self-driving cars or advanced robotics would find this useful for staying current with the latest advancements.
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