Datasetpublic

flow666/DL3DV-Res_Benchmark

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… See the full description on the dataset page: https://huggingface.co/datasets/flow666/DL3DV-Res_Benchmark.

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Dataset Card

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:

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}
}