metadata

tags:
  - 3D Vision
  - NeRF
  - 3D Gaussian
  - Dataset
  - Novel View Synthesis
  - Text to 3D
  - Image to 3D
pretty_name: Dl3DV-Dataset
size_categories:
  - n>1T

DL3DV-Dataset

This repo has all the original videos of DL3DV-10K Dataset. We are working hard to review all the dataset to avoid sensitive information. Thank you for your patience.

Download

If you have enough space, you can use git to download a dataset from huggingface. See this link.

If you do not have enough space, we further provide a download script here to download a subset. The usage:

usage: download.py [-h] --odir ODIR --subset {1K,2K,3K,4K,5K,6K,7K,8K,9K,10K} --resolution {4K,2K,960P,480P} --file_type {images+poses,video,colmap_cache} [--hash HASH]
                  [--clean_cache]

optional arguments:
  -h, --help            show this help message and exit
  --odir ODIR           output directory
  --subset {1K,2K,3K,4K,5K,6K,7K,8K,9K,10K}
                        The subset of the benchmark to download
  --resolution {4K,2K,960P,480P}
                        The resolution to donwnload
  --file_type {images+poses,video,colmap_cache}
                        The file type to download
  --hash HASH           If set subset=hash, this is the hash code of the scene to download
  --clean_cache         If set, will clean the huggingface cache to save space

Here are some examples:

# Make sure you have applied for the access.
# Use this to download the download.py script 
wget https://raw.githubusercontent.com/DL3DV-10K/Dataset/main/scripts/download.py 

# Download video, 0~1K subset, output to DL3DV-10K directory   
python download.py --odir DL3DV-10K --subset 1K --resolution 4K --file_type video --clean_cache

You can also download a specific scene with its hash. The scene-hash pair visualization can be found here.

python download.py --odir DL3DV-10K --subset 1K --resolution 4K --file_type video --hash e2cedefea8a0ed2d0ffbd5bdc08acbe7e1f85c96f72f7b790e9dfe1c98963047 --clean_cache

News

DL3DV-1K, 2K, 3K, 4K
DL3DV-5K ~ 10K