Fast Fourier Intrinsic Network

@article{Qian2021FastFI,
  title={Fast Fourier Intrinsic Network},
  author={Yanlin Qian and Miaojing Shi and Joni-Kristian Kamarainen and Jiri Matas},
  journal={2021 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2021},
  pages={3168-3177}
}
We address the problem of decomposing an image into albedo and shading. We propose the Fast Fourier Intrinsic Network, FFI-Net in short, that operates in the spectral domain, splitting the input into several spectral bands. Weights in FFI-Net are optimized in the spectral domain, allowing faster convergence to a lower error. FFI-Net is lightweight and does not need auxiliary networks for training. The network is trained end-to-end with a novel spectral loss which measures the global distance… 

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