Comments (5)
I got the same problem when I downsampled CelebA dataset to 16x16. That is weird. However, the authors created the LR by downsampling HR images just with bicubic degradation in their paper.
我看了您的资料介绍,我就说中文吧,英文不太好。我观察了作者给的测试集,是用的png格式的CelebA中的人脸图像来测试的,在png格式下,把图像下采样后,超分的测试结果是很不错的。所以我把LFW的数据也转成png格式的了,结果伪影减少了,各项指标也很不错,具体是什么原因还不知道,希望能帮到你。
from deep-iterative-collaboration.
I got the same problem when I downsampled CelebA dataset to 16x16. That is weird. However, the authors created the LR by downsampling HR images just with bicubic degradation in their paper.
from deep-iterative-collaboration.
Hi there, please use png images. We found jpg compression leads to information loss in low res images, where any bit of image is very important.
from deep-iterative-collaboration.
Has anybody done any experiments on face recognition rates?
from deep-iterative-collaboration.
Thanks, @MARIOXIAN , @Steve-Tod . Here's another tips, when you create LR png files from HR images, please use Image
instead of OpenCV
.
from deep-iterative-collaboration.
Related Issues (20)
- The train result is 24.10dB that much lower than paper's
- can the model work for pictures with multiple faces? HOT 1
- How to define the training/testing set HOT 1
- tensorflow version HOT 19
- LR size 32 to SR size 128 HOT 2
- Can I run the test code with cpu? HOT 2
- 更改scale的一些问题 HOT 1
- How to generate SR image with my own LR image HOT 1
- 如何生成pkl格式文件 HOT 6
- Input question HOT 1
- Apply for LICENSE HOT 1
- Lower upscale factor
- Some questions about crop Helen & CelebA datasets. HOT 2
- About test eval_landmark.py HOT 1
- How to make Visual Result in the paper.
- 作者您好,我在跑训练模型代码的时候,代码里info path 这个路径下的.pkl文件,我用的是您提供的,但是报了以下错误,请问这个文件需要自己去生成吗?希望您能解答,万分感谢。 HOT 4
- training set
- RuntimeError: CUDA out of memory. Tried to allocate 3.00 GiB (GPU 0; 14.76 GiB total capacity; 12.32 GiB already allocated; 1.39 GiB free; 12.34 GiB reserved in total by PyTorch)
- The data format in the Helen_test.pkl file in annotations is incorrect. HOT 1
- openface生成训练数据集
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