| --- |
| license: cc-by-nc-4.0 |
| task_categories: |
| - image-to-image |
| size_categories: |
| - 100B<n<1T |
| tags: |
| - Novel View Synthesis |
| - NeRF |
| - 3D Gaussian Splatting |
| - 3D Vision |
| - Diffusion Models |
| - Image Restoration |
| - Fixer |
| - Distractor |
| --- |
| |
| # DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis |
|
|
| [**Project Page**](https://johnnylu305.github.io/df3dv1k_web/) | [**Paper**](https://huggingface.co/papers/2604.13416) | [**GitHub**](https://github.com/johnnylu305/DF3DV) |
|
|
| The dataset provides one thousand scenes with clean and cluttered images for distractor-free 3D vision research. |
|
|
| ## Directory Structure |
|
|
| ``` |
| ├── DF3DV-1K-Star |
| │ ├── 0000 |
| │ │ ├── 040625-LundoBin |
| │ │ │ ├── 040625-LundoBin-All (curated data) |
| │ │ │ │ ├── images (COLMAP input images) |
| │ │ │ │ │ ├── clutter_IMG_7042.JPG |
| │ │ │ │ │ ├── ... |
| │ │ │ │ │ └── extra_IMG_7041.JPG |
| │ │ │ │ ├── sparse (COLMAP result) |
| │ │ │ │ │ └── 0 |
| │ │ │ │ │ ├── cameras.bin |
| │ │ │ │ │ ├── images.bin |
| │ │ │ │ │ ├── points3D.bin |
| │ │ │ │ │ └── project.ini |
| │ │ │ │ ├── split.json (list of clean and cluttered images) |
| │ │ │ │ ├── transforms_clutter.json (Instant-NGP JSON file for cluttered images only) |
| │ │ │ │ ├── transforms_extra.json (Instant-NGP JSON file for clean images only) |
| │ │ │ │ ├── transforms.json (Instant-NGP JSON file for all images) |
| │ │ │ │ ├── undistortion_images (COLMAP-undistorted images) |
| │ │ │ │ │ ├── clutter_IMG_7042.JPG |
| │ │ │ │ │ ├── ... |
| │ │ │ │ │ └── extra_IMG_7041.JPG |
| │ │ │ │ └── undistortion_sparse (COLMAP-undistorted result) |
| │ │ │ │ └── 0 |
| │ │ │ │ ├── cameras.bin |
| │ │ │ │ ├── cameras.txt |
| │ │ │ │ ├── images.bin |
| │ │ │ │ ├── images.txt |
| │ │ │ │ ├── points3D.bin |
| │ │ │ │ └── points3D.txt |
| │ │ │ ├── 040625-LundoBin-Clean (candidate clean images) |
| │ │ │ │ └── images |
| │ │ │ │ ├── IMG_6957.JPG |
| │ │ │ │ ├── ... |
| │ │ │ │ └── IMG_7041.JPG |
| │ │ │ └── 040625-LundoBin-Clutter (candidate cluttered images) |
| │ │ │ └── images |
| │ │ │ ├── IMG_7042.JPG |
| │ │ │ ├── ... |
| │ │ │ └── IMG_7140.JPG |
| │ │ ├── ... |
| │ │ └── 090625-BlueBikeBell |
| │ ├── ... |
| │ └── 0024 |
| └── DF3DV-41 |
| ├── 021125-Chess |
| │ ├── 021125-Chess-All |
| │ │ ├── images |
| │ │ ├── sparse |
| │ │ │ └── 0 |
| │ │ ├── undistortion_images |
| │ │ └── undistortion_sparse |
| │ │ └── 0 |
| │ ├── 021125-Chess-Clean |
| │ │ └── images |
| │ └── 021125-Chess-Clutter |
| │ └── images |
| ├── ... |
| └── 301025-TempleDrumIncense |
| ``` |
|
|
| ## Download Instruction |
|
|
| ``` |
| # Install the Hugging Face CLI |
| pip install -U "huggingface_hub[cli]" |
| |
| # Login to your Hugging Face account |
| hf auth login |
| |
| # Download whole dataset |
| # Example |
| hf download ChengYou305/DF3DV-1K-Org --repo-type dataset --local-dir DF3DV-1K |
| |
| # Download DF3DV-1K* |
| # Example |
| hf download ChengYou305/DF3DV-1K-Org --repo-type dataset --local-dir DF3DV-1K --include "DF3DV-1K-Star/*" |
| |
| # Download DF3DV-41 |
| # Example |
| hf download ChengYou305/DF3DV-1K-Org --repo-type dataset --local-dir DF3DV-1K --include "DF3DV-41/*" |
| |
| # Download specific chunk |
| # Example |
| hf download ChengYou305/DF3DV-1K-Org --repo-type dataset --local-dir DF3DV-1K --include "DF3DV-1K-Star/0000/*" |
| |
| # Download everything except specific files |
| # Example |
| hf download ChengYou305/DF3DV-1K-Org --repo-type dataset --local-dir DF3DV-1K --exclude "Mask.zip" |
| ``` |
|
|
| ## More Information |
|
|
| Please refer this [repo](https://github.com/johnnylu305/DF3DV) for more details. |
|
|
| ## Citation |
| ```bibtex |
| @article{lu2026df3dv, |
| title={DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis}, |
| author={Lu, Cheng-You and Hung, Yi-Shan and Chi, Wei-Ling and Wang, Hao-Ping and Tsai, Charlie Li-Ting and Chang, Yu-Cheng and Liu, Yu-Lun and Do, Thomas and Lin, Chin-Teng}, |
| journal={arXiv preprint arXiv:2604.13416}, |
| year={2026} |
| } |
| ``` |
|
|
