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Data Preparation

We provide some tips for XRNeRF data preparation in this file.

Getting Data

Dataset Organization

It is recommended to symlink the dataset root to $PROJECT/data. If your folder structure is different, you may need to change the corresponding paths in config files.

xrnerf
├── xrnerf
├── docs
├── configs
├── test
├── extensions
├── data
│   ├── nerf_llff_data
│   ├── nerf_synthetic
│   ├── multiscale
│   ├── multiscale_google
│   ├── ...

Dataset Download

  1. Download nerf_synthetic and nerf_llff_data from here, and put it under xrnerf/data
  2. Credit to NSVF authors for providing their datasets, read introductions here
  3. For mip-nerf training, you can generate the multiscale dataset used in the paper by running the following command, python tools/convert_blender_data.py --blenderdir /data/nerf_synthetic --outdir data/multiscale
  4. For the training of NeuralBody, please download the dataset from here.
  5. For the training of Animatable NeRF, please download the dataset from here.
  6. For the training of GNR, please download the dataset from here.
  7. For the training of BungeeNeRF, please download the dataset from here.