NeRFactor

NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination
Xiuming Zhang, Pratul P. Srinivasan, Boyang Deng, Paul Debevec, William T. Freeman, Jonathan T. Barron
arXiv

This is not an officially supported Google product.

Setup

  1. Clone this repository:

    git clone https://github.com/google/nerfactor.git

  2. Install a Conda environment with all dependencies:

    cd nerfactor
conda env create -f environment.yml
conda activate nerfactor

Tips:

  • You can find the TensorFlow, cuDNN, and CUDA versions in environment.yml.
  • The IPython dependency in environment.yml is for IPython.embed() alone.
    If you are not using that to insert breakpoints during debugging, you can
    take it out (it should not hurt to just leave it there).

Data

If you are using our data, see the "Downloads" section of the
project page.

If you are BYOD (bringing your own data), go to data_gen/ to
either render your own synthetic data or process your real captures.

Running the Code

Go to nerfactor/ and follow the instructions there.

Issues or Questions?

If the issue is code-related, please open an issue here.

For questions, please also consider opening an issue as it may benefit future
reader. Otherwise, email Xiuming Zhang.

GitHub

https://github.com/google/nerfactor