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Code for Paper "Multi-scale Dynamic Feature Encoding Network for Image Demoireing"

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Code for "Multi-scale Dynamic Feature Encoding Network for Image Demoireing" [ICCV2019 AIM Workshop][arxiv]

MDDM is the 2nd place winner of AIM Demoireing Challenge-Fidelity

[Update] An enhance version: MDDM+ will be released

Team: MoePhoto Team Members: Xi Cheng, Zhenyong Fu, Jian Yang

Requirement:

  1. GPU>= 11GB Memory (We have tested on RTX2080Ti/Titan V/Tesla P40)
  2. Python 3.6.6
  3. Pytorch==1.2.0
  4. torchvision==0.4.0a0+6b959ee
  5. scikit-image==0.13.1

Test the model:

Put the images in ./data/TestingMoire 
Run  (Fidelity) 
python test_all.py --cuda --model ./models/mddm.pth 
Run  (Perceptual)
python test_all.py --cuda --model ./models/mddmgan.pth

Train:

[WIP]

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Code for Paper "Multi-scale Dynamic Feature Encoding Network for Image Demoireing"

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