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DualGS_Dataset

The dataset of the paper "DualGS: Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos".

DualGS: Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos

Yuheng Jiang, Zhehao Shen, Yu Hong, Chengcheng Guo, Yize Wu, Yingliang Zhang, Jingyi Yu, Lan Xu.

ACM SIGGRAPH ASIA 2024

[Project Page] [Paper Link] [Dataset Link]

Description

We have currently uploaded 7 sample cases of data including a diverse range of musical instruments from both Western and Eastern traditions. Meanwhile, 3 single-frame data have been uploaded as examples, which you can access without signing the license agreement.

To run algorithms on single-frame data, you need to move the calibration files. For image_white under instant-ngp format, rename the frame folder to images and move transforms.json to the same directory as images. For image_white_undistortion in colmap format, rename the frame folder to images and move the sparse/0 folder to the same directory as images.

The overall file structure is as follows:

├── image_white
│    ├── %d                - The frame number, starts from 0.
│    │   └──%d.png         - Masked RGB images for each view. view number starts from 0.
│    └── transforms.json   - Camera extrinsics and intrinsics in NGP format.
│
├── image_white_undistortion
│    ├── %d                - The frame number, starts from 0.
│    │   └──%d.png         - Undistorted maksed RGB images for each view. view number starts from 0.
│    └── colmap/sparse/0   - Camera extrinsics and intrinsics in Gaussian Splatting format.

Download our dataset

The dataset is publicly accessible at Link. It is authorized for non-commercial use only. For commercial use, please contact Yuheng Jiang (jiangyh2@shanghaitech.edu.cn) and cc Lan Xu(xulan1@shanghaitech.edu.cn) to obtain necessary permissions.

Citation

If you use this dataset for your research, please cite our paper:

@article{jiang2024robust,
  title={Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos},
  author={Jiang, Yuheng and Shen, Zhehao and Hong, Yu and Guo, Chengcheng and Wu, Yize and Zhang, Yingliang and Yu, Jingyi and Xu, Lan},
  journal={arXiv preprint arXiv:2409.08353},
  year={2024}
}