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Maclory / Deep-Iterative-Collaboration

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

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Can not reproduce the result using default option and model

DarkerDreamer opened this issue · comments

commented

I changed the pathes of model and images in the test_DICGAN_Helen.json and test_DIC_Helen.json, then ran test.py use these options as told in README. But the results are really terrrible. Did I miss something? The data used to test the program is Helen that downloaded as asked and preprocessed as said in #1. The models I used were DIC_Helen.pth and DICGAN_Helen.pth respectively.

commented

Hi, we have uploaded our testing sets of CelebA and Helen to Google Drive and Baidu Drive (extraction code: 6qhx). We will also upload our code for data preprocessing soon.