Deep-Iterative-Collaboration
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Maclory
Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)
作者你好，我正在尝试使用自己的数据集复现您的代码，我已经使用openface生成了CSV格式的数据（其中包含2D的Facia landmark），但是我不知道如何生成此代码用的pkl文件作为GT。希望作者能够提供支持。谢谢！
Hi, I'm graduate student studying about FSR. May i ask you how to make Visual Result(visual comparison with SOTA FSRs) in the paper and this repository? Because in my case,...
Hello, author, thanks for your sharing. I found that when I use your code eval_landmark.py to test the real CelebA image, the results is not good, like follows.  The...
Hello, I was wondering if there's a way to train the model but use x4 upscale factor instead of x8, thank you!
Thanks for your excellent work.Do you have tensorflow verision about this code?
Hi, buddy, your demo is wonderful. Here is my training question of train.py demo: I used a CelebA face dataset training, and I got loss value: [CelebALandmarkVal] PSNR: 9.29 SSIM:...
您好，想请问一下如果希望用openface生成裁剪的celeba数据集128*128的数据集是否可以使用openface代码中utils下的align_dlib脚本生成，如果是可以麻烦介绍一下使用的具体指令吗
The data format in the Helen_test.pkl file in annotations is inconsistent with other pkl files, resulting in the inability to use the get_info function to read the image information. Could...
Hello, I would like to inquire. When I use an image to test, I solver it in line 69 of test.py The test() video memory is out. I use the...
Thank you very much for the code you provided. I tried to create my own training set to train the network, but the effect was not very good. Can you...
