MDDM
Code for Paper "Multi-scale Dynamic Feature Encoding Network for Image Demoireing"
Install / Use
/learn @opteroncx/MDDMREADME
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:
- GPU>= 11GB Memory (We have tested on RTX2080Ti/Titan V/Tesla P40)
- Python 3.6.6
- Pytorch==1.2.0
- torchvision==0.4.0a0+6b959ee
- 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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