File size: 1,277 Bytes
6d8fec6 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
---
task_categories:
- image-to-video
tags:
- 3d
- gaussian-splatting
- artifact-restoration
---
# DL3DV-Res Benchmark
[**Project Page**](https://gvclab.github.io/GSFixer/) | [**Paper**](https://huggingface.co/papers/2508.09667) | [**GitHub**](https://github.com/GVCLab/GSFixer)
DL3DV-Res is a benchmark dataset introduced in the paper "GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors". It contains artifact frames rendered using low-quality 3D Gaussian Splatting (3DGS) from sparse views, and is designed for evaluating 3DGS artifact restoration and sparse-view 3D reconstruction.
## Dataset Usage
The DL3DV-Res benchmark data can be downloaded using the following command, as indicated in the official GitHub repository:
```bash
python download/download_data_hf.py
```
## Citation
If you find this dataset useful for your research, please consider citing the original paper:
```bibtex
@article{yin2025gsfixer,
title={GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors},
author={Yin, Xingyilang and Zhang, Qi and Chang, Jiahao and Feng, Ying and Fan, Qingnan and Yang, Xi and Pun, Chi-Man and Zhang, Huaqi and Cun, Xiaodong},
journal={arXiv preprint arXiv:2508.09667},
year={2025}
}
``` |