Official Repository for Scenario Dreamer

Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments
Luke Rowe^1,2,6, Roger Girgis^1,3,6, Anthony Gosselin^1,3, Liam Paull^1,2,5, Christopher Pal^1,2,3,5, Felix Heide^4,6
1 Mila, ² Université de Montréal, ³ Polytechnique Montréal, ⁴ Princeton University, ⁵ CIFAR AI Chair, ⁶ Torc Robotics

Computer Vision and Pattern Recognition (CVPR), 2025

Code will be released by CVPR 2025.

We propose Scenario Dreamer, a fully data-driven closed-loop generative simulator for autonomous vehicle planning.

scenario_dreamer.mp4

Table of Contents

• Citation

Citation

@InProceedings{rowe2025scenariodreamer,
  title={Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments},
  author={Rowe, Luke and Girgis, Roger and Gosselin, Anthony and Paull, Liam and Pal, Christopher and Heide, Felix},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2025}
}