---
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}
}
```