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KupynOrest / DeblurGAN

Image Deblurring using Generative Adversarial Networks
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artifact in the deblured image #87

Open scimg opened 6 years ago

scimg commented 6 years ago

I run test.py with the default parameters and the downloaded latest_net_G.pth. I feed the algorithm with self-captured images and GoPro images. There are artifacts in the deblurred image, such as gridded artifacts with false colors. And the artifacts may relate to input size, as changing size setting will make it better. However, I still can not reproduce the impressive result presented in the paper. Would you please tell how to generate the results in your paper? Thanks you!

chenyuZha commented 6 years ago

@scimg I also ran the test with the latest .pth, I had same problem of artifact. I think that for the pre-trained model, the size of input image is 256x256, to get a better result, maybe you should just fine-tuning the model with a larger input size (512 or 1024).

KWang1998 commented 6 years ago

Have you solved the problem yet? I also face the same problem when trying to run the test. I tried images from GoPro & my own images. Though it shows some effect but not as good as the paper shows.

KWang1998 commented 6 years ago

@scimg

scimg commented 6 years ago

@WangKewei1998 Not yet.

rimchang commented 6 years ago

Also I cannot reproduce paper result. I use below command.

python test.py --dataroot ./ --model test --dataset_mode single --learn_residual --loadSizeX 1280 --loadSizeY 720 --resize_or_crop test

below is evaluation result on GOPRO-test set. GOPR0869_11_00 Video's PSNR : 24.618, SSIM : 0.000, Count : 100 GOPR0862_11_00 Video's PSNR : 22.161, SSIM : 0.000, Count : 77 GOPR0410_11_00 Video's PSNR : 25.929, SSIM : 0.000, Count : 134 GOPR0384_11_05 Video's PSNR : 27.039, SSIM : 0.000, Count : 100 GOPR0385_11_01 Video's PSNR : 26.437, SSIM : 0.000, Count : 100 GOPR0881_11_01 Video's PSNR : 25.361, SSIM : 0.000, Count : 100 GOPR0854_11_00 Video's PSNR : 22.955, SSIM : 0.000, Count : 100 GOPR0396_11_00 Video's PSNR : 28.746, SSIM : 0.000, Count : 100 GOPR0384_11_00 Video's PSNR : 27.901, SSIM : 0.000, Count : 100 GOPR0868_11_00 Video's PSNR : 22.369, SSIM : 0.000, Count : 100 GOPR0871_11_00 Video's PSNR : 22.730, SSIM : 0.000, Count : 100 Total Video's PSNR : 25.199, SSIM : 0.000, Count : 1111

Have you solved the problem?