World model games are awesome! We can now play fully generative (and hallucinated) games, where anything is possible.
Here we collect papers, open-source projects, and applications of such interactive video models.
Click the badges below the heading to visit the project's relevant links.
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Contributions are very welcome!
Open-source training and inference, initially launched with 26 atari games and CS:GO.
100M models of 26 Atari games.
A 500M model and original inference code are open-source.
Community Fork with adjustments to compiling has reported higher FPS, link above.
One size of the model and inference code are open-source.
The Great-Grandfather of the field. Running games on a generative adversarial network.
Fork of NVIDIA's research.
2.7B model trained on data from Forza Horizon 5 and Cyberpunk 2077 as well as real-world footage.
A transformer runs Doom! The grandfather paper of the field.
Seminal paper generalising world models to different games (and pictures!), focused on 2D platformers.
An early model trained on a 4th Generation Pokemon game.
Game Papers:
- The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control - Matrix Paper (Nov 2024).
- Diffusion for World Modeling: Visual Details Matter in Atari - Diamond Paper (Oct 2024).
- Diffusion Models are Real-time Game Engines - GameNGen Paper (Aug 2024).
- Genie: Generative Interactive Environments - Genie Paper (Feb 2024).