DF3DV-1K: A Large-Scale Dataset and Benchmark for Distractor-Free Novel View Synthesis
Paper • 2604.13416 • Published • 31
Project Page | Paper | GitHub
The dataset provides one thousand scenes with clean and cluttered images for distractor-free 3D vision research.
├── 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
# 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"
Please refer this repo for more details.
@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}
}