Neural Invertible Warp for NeRF (ECCV-2024)

This is an official implementation of the paper "Neural Invertible Warp for NeRF".

Code Release Schedule

• [🛠️   Installation](coming soon)
• [💿   Dataset Preparation](coming soon)
• [🏃‍♂️  Running Code](coming soon)

🛠️ Installation Steps

Assuming a fresh Anaconda environment, you can install the dependencies by

pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118
numpy==1.26.4

pip install -r requirements.txt

conda install -c conda-forge cupy cuda-version=11.6

💿 Training data

DTU

• Images: We use the DTU dataset, produced by SPARF, where the images are processed and resized to 300 x 400. Download the data here.

• Ground-truth depth maps: For geometry evaluation, we report the depth error. Download the depth maps. They are extracted from MVSNeRF.

LLFF

The LLFF real-world data can be found in the NeRF Google Drive. You can download the dataset by running

gdown 16VnMcF1KJYxN9QId6TClMsZRahHNMW5g # download nerf_llff_data.zip
unzip nerf_llff_data.zip
rm -f nerf_llff_data.zip
mv nerf_llff_data data/llff

The data directory should contain the subdirectories llff and dtu. If you have downloaded the datasets, you can create soft links to them within the data directory.