Awesome-World-Models and awesome-world-model-evolution
These are complementary resources: the first provides a broad, application-focused survey across video generation, embodied AI, and autonomous driving, while the second offers a narrower, historically-structured narrative tracing the theoretical evolution toward unified world models, making them useful to consult together for both breadth and conceptual 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-evolution
OpenRaiser/awesome-world-model-evolution
A curated collection of research papers, models, and resources tracing the evolution from specialized models to unified world models.
This is a curated collection of research papers and resources for AI researchers and practitioners exploring the development of "world models." It helps you understand how AI systems are evolving from specialized models to unified models that can simulate and reason about our physical world. The collection categorizes research based on how well models understand different types of data (like images, text, and video), spatial relationships, and how things change over time.
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