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TensorFlow implementation of "WESPE: Weakly Supervised Photo Enhancer for Digital Cameras"

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WESPE: Weakly Supervised Photo Enhancer for Digital Cameras

TensorFlow implementation of "WESPE: Weakly Supervised Photo Enhancer for Digital Cameras"

First step

  • Download the pre-trained VGG-19 model and put it into vgg_pretrained/ folder
  • Download DPED dataset (patches for CNN training) and extract it into dped/ folder.

Train the model

  • python train_model.py model= or sh train.sh

Training results

test PSNR for iphone is about 18 dB, similar to the original paper, 18.11 dB

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TensorFlow implementation of "WESPE: Weakly Supervised Photo Enhancer for Digital Cameras"

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