Official Code for Epona: Autoregressive Diffusion World Model for Autonomous Driving (ICCV 2025)
Generate realistic driving videos and plan routes using an AI model designed for autonomous driving.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeOfficial Code for Epona: Autoregressive Diffusion World Model for Autonomous Driving (ICCV 2025)
Epona has 370 stars on GitHub. It has been forked 28 times. Epona is written mainly in Python. It has been in active development since 2025. Epona is available under the MIT license. Its main topics are autonomous-driving, diffusion-models, video-generation, world-models.
Official Code for Epona: Autoregressive Diffusion World Model for Autonomous Driving (ICCV 2025)
Epona is an open-source project. It is released under the MIT license.
Yes. Epona is free and open source — you can use, modify and self-host it.
Epona is available under the MIT license.
Epona is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/kevin-thu-epona.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.