GSFixer: Improving 3D Gaussian Splatting with Reference-Guided Video Diffusion Priors
Paper
•
2508.09667
•
Published
•
6
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DL3DV-Res Benchmark
Project Page | Paper | GitHub
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:
python download/download_data_hf.py
Citation
If you find this dataset useful for your research, please consider citing the original paper:
@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}
}
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