Home Projects Epona
Epona
Python

Epona

Official Code for Epona: Autoregressive Diffusion World Model for Autonomous Driving (ICCV 2025)

by Kevin-thu · GitHub
Stars
Forks
License
Created
Last commit
Language
autonomous-drivingdiffusion-modelsvideo-generationMITPython
View on GitHub
In plain words

Generate realistic driving videos and plan routes using an AI model designed for autonomous driving.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
Epona — GitHub preview card
📈 Star history
371370
2026-07-202026-08-31
📈 Track Epona

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Official 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.

Frequently asked questions

What is Epona?

Official Code for Epona: Autoregressive Diffusion World Model for Autonomous Driving (ICCV 2025)

Is Epona open source?

Epona is an open-source project. It is released under the MIT license.

Is Epona free?

Yes. Epona is free and open source — you can use, modify and self-host it.

What license does Epona use?

Epona is available under the MIT license.

What language is Epona written in?

Epona is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — Epona

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=kevin-thu-epona)](https://olud.ai/project/kevin-thu-epona.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →
OpenDWM
An open source code repository of driving world models, with training, inferencing, evaluation…
405 · autonomous-driving
sharesworld-modelsvideo-generation
MagicDrive-V2
[ICCV 2025] Official implementation of the paper “MagicDrive-V2: High-Resolution Long Video Gen…
716 · autonomous-driving
sharesvideo-generationautonomous-driving
MimicMotion
High-Quality Human Motion Video Generation with Confidence-aware Pose Guidance
2.6k · diffusion-models
sharesvideo-generationdiffusion-models
PVDM
[CVPR'23] Video Probabilistic Diffusion Models in Projected Latent Space
322 · diffusion-models
sharesvideo-generationdiffusion-models
World-Models-Autonomous-Driving-Survey
A curated list of world models for autonomous driving.
524 · autonomous-driving
sharesworld-modelsautonomous-driving
Vista
[NeurIPS 2024] A Generalizable World Model for Autonomous Driving
889 · autonomous-driving
sharesvideo-generationautonomous-driving
Cosmos-Drive-Dreams
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
509 · autonomous-driving
sharesvideo-generationautonomous-driving
Awesome-Video-World-Models-with-AR-Diffusion
A Curated List of Awesome Video World Models with AR Diffusion: Covering Algorithms, Applicatio…
698 · ar-diffusion
sharesworld-modelsvideo-generation
Pyramid-Flow
[ICLR 2025] Pyramidal Flow Matching for Efficient Video Generative Modeling
3.2k · diffusion-models
sharesvideo-generationdiffusion-models
HunyuanVideo
HunyuanVideo: A Systematic Framework For Large Video Generation Model
12.3k · diffusion-models
sharesvideo-generationdiffusion-models

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.