3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views

Project page | Paper

😮 Highlights

• Our 3DRealCar is the first large-scale 3D real car dataset containing both densely captured RGB-D images and point clouds.
• This dataset is the first to provide 3D car parsing map annotations.

🚩 Updates

Welcome to watch 👀 this repository for the latest updates.

✅ [2024.6.10] : We have released our paper, 3DRealCar on arXiv.

✅ [2024.6.10] : Release project page.

✅ [2024.8.13] : Code is realeased.

✅ [2024.8.15] : We are releasing our dataset. You can download our dataset in the project page.

How to use

Please refer to our code data_preprocess

✏️ Citation

If you find our paper and code useful in your research, please consider giving a star ⭐ and citation 📝.

@article{du20243drealcar,
  title={3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views},
  author={Du, Xiaobiao and Sun, Haiyang and Wang, Shuyun and Wu, Zhuojie and Sheng, Hongwei and Ying, Jiaying and Lu, Ming and Zhu, Tianqing and Zhan, Kun and Yu, Xin},
  journal={arXiv preprint arXiv:2406.04875},
  year={2024}
}