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DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis

Project Page | Paper | GitHub

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 for more details.

Citation

@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}
}
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