Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[CVPR 2025 Highlight] Truncated Diffusion Model for Real-Time End-to-End Autonomous Driving
| Date | Stars |
|---|---|
| 2026-07-31 | 1461 |
| 2026-08-02 | 1461 |
| 2026-08-06 | 1461 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center"> <img src="assets/logo.png" width="80"> <h1>DiffusionDrive</h1> <h3>Truncated Diffusion Model for End-to-End Autonomous Driving</h3> [Bencheng Liao](https://github.com/LegendBC)<sup>1,2</sup>, [Shaoyu Chen](https://scholar.google.com/citations?user=PIeNN2gAAAAJ&hl=en&oi=sra)<sup>2,3</sup>, Haoran Yin<sup>3</sup>, [Bo Jiang](https://scholar.google.com/citations?user=UlDxGP0AAAAJ&hl=en)<sup>2</sup>, [Cheng Wang](https://scholar.google.com/citations?user=PdJIyPIAAAAJ&hl=zh-CN)<sup>1,2</sup>, [Sixu Yan](https://sixu-yan.github.io/)<sup>2</sup>, Xinbang Zhang<sup>3</sup>, Xiangyu Li<sup>3</sup>, Ying Zhang<sup>3</sup>, [Qian Zhang](https://scholar.google.com/citations?user=pCY-bikAAAAJ&hl=zh-CN)<sup>3</sup>, [Xinggang Wang](https://xwcv.github.io)<sup>2 :email:</sup> <sup>1</sup> Institute of Artificial Intelligence, HUST, <sup>2</sup> School of EIC, HUST, <sup>3</sup> Horizon Robotics (<sup>:email:</sup>) corresponding author, [email protected] Accepted to CVPR 2025 as Highlight! [](https://arxiv.org/abs/2411.15139) [](https://huggingface.co/hustvl/DiffusionDrive) </div> ## News * **` Apr. 4th, 2025`:** DiffusionDrive is awarded as CVPR 2025 Highlight! * **` Feb. 27th, 2025`:** DiffusionDrive is accepted to CVPR 2025! * **` Jan. 18th, 2025`:** We release the initial version of code and weight on nuScenes, along with documentation and training/evaluation scripts. Please run `git checkout nusc` to use it. * **` Dec. 16th, 2024`:** We release the initial version of code and weight on NAVSIM, along with documentation and training/evaluation scripts. * **` Nov. 25th, 2024`:** We released our paper on [Arxiv](https://arxiv.org/abs/2411.15139). Code/Models are coming soon. Please stay tuned! ☕️ ## Table of Contents - [Introduction](#introduction) - [Qualitative Results on NAVSIM Navtest Split](#qualitative-results-on-navsim-navtest-split) - [Video Demo on Real-world Application](#video-demo-on-real-world-application) - [Getting Started](#getting-started) - [Contact](#contact) - [Acknowledgement](#acknowledgement) - [Citation](#citation) ## Introduction Diffusion policy exhibits promising multimodal property and distributional expressivity in robotic field, while not ready for real-time end-to-end autonomous driving in more dynamic and open-world traffic scenes. To bridge this gap, we propose a novel truncated diffusion model, DiffusionDrive, for real-time end-to-end autonomous driving, which is much faster (10x reduction in diffusion denoising steps), more accurate (3.5 higher PDMS on NAVSIM), and more diverse (64% higher mode diversity score) than the vanilla diffusion policy. Without bells and whistles, DiffusionDrive achieves record-breaking 88.1 PDMS on NAVSIM benchmark with the same ResNet-34 backbone by directly learning from human demonstrations, while running at a real-time speed of 45 FPS. <div align="center"><b>Truncated Diffusion Policy.</b> <img src="assets/truncated_diffusion_policy.png" /> <b>Pipeline of DiffusionDrive. DiffusionDrive is highly flexible to integrate with onboard sensor data and existing perception modules.</b> <img src="assets/pipeline.png" /> </div> ## Qualitative Results on NAVSIM Navtest Split <div align="center"> <b>Going straight with car-following and lane-changing behaviors.</b> <img src="assets/straight_0.png" /> <b>Going straight with diverse lane-changing behavior, which interacts with traffic light and stops at the stop line.</b> <img src="assets/straight_1.png" /> <b>Turning left with diverse lane-changing behavior, which interacts with surrounding agents.</b> <img src="assets/left_0.png" /> <b>Turning right with car-following and overtaking behaviors.</b> <img src="assets/right_0.png" /> </div> ## Video Demo on Real-world Application https://github.com/user-att
Excerpt of 6,837 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:fa930de5de027c25, desc:diffusion model
