Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/BraveGroup/Drive-WM
[CVPR 2024] A world model for autonomous driving.
https://github.com/BraveGroup/Drive-WM
Last synced: 19 days ago
JSON representation
[CVPR 2024] A world model for autonomous driving.
- Host: GitHub
- URL: https://github.com/BraveGroup/Drive-WM
- Owner: BraveGroup
- License: apache-2.0
- Created: 2023-11-18T01:40:55.000Z (12 months ago)
- Default Branch: master
- Last Pushed: 2023-12-07T02:40:39.000Z (12 months ago)
- Last Synced: 2024-08-01T03:34:03.263Z (4 months ago)
- Language: Python
- Homepage:
- Size: 2.01 MB
- Stars: 254
- Watchers: 22
- Forks: 4
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Citation: CITATION.cff
Awesome Lists containing this project
- Awesome-LLM4AD - Drive-WM
README
# Drive-WM
## Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving[Yuqi Wang*](https://robertwyq.github.io/), [Jiawei He*](https://jiaweihe.com/), [Lue Fan*](https://lue.fan/), [Hongxin Li*](https://github.com/ZJULiHongxin), [Yuntao Chen†](https://scholar.google.com/citations?user=iLOoUqIAAAAJ), [Zhaoxiang Zhang†](https://zhaoxiangzhang.net/)
(*: Equal Contribution; †: Corresponding Author)[[arXiv](https://arxiv.org/abs/2311.17918)] [[Project page](https://drive-wm.github.io/)]
![logo](https://github.com/BraveGroup/Drive-WM/assets/27729041/8418123e-35fa-450a-abd6-da266461cb78)
## TO DO
- [ ] Conditional image generation model weights (coming soon🚀)
- [ ] Conditional video generation model weights
- [ ] Action-conditioned video forecast model weights
- [ ] Training codes for all models## Get Started
Our code is based on the open-source project diffusers.## Citation
```
@article{wang2023driving,
title={Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving},
author={Wang, Yuqi and He, Jiawei and Fan, Lue and Li, Hongxin and Chen, Yuntao and Zhang, Zhaoxiang},
journal={arXiv preprint arXiv:2311.17918},
year={2023}
}
```## Acknowledgement
Many thanks to the following open-source projects:
* [diffusers](https://github.com/huggingface/diffusers)