Awesome-World-Models
A curated survey and resource index for World Model research. 890+ GitHub stars.
Awesome-World-Models is a research-oriented survey and resource index (Survey & Knowledge Base) for the World Model research direction.
Overview
This project systematically curates representative works covering:
- Video prediction and generation
- Action-conditioned dynamics modeling
- Embodied AI applications
- Reinforcement learning with world models
The project provides a structured research entry point for the World Model and Embodied AI community, and is widely used for literature surveys, method comparisons, and research direction planning.
My Contributions
- Participated in maintaining and continuously expanding World Model related research resources
- Systematically organized representative works across multiple research directions