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rajeevyasarla / UMSN-Face-Deblurring

Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks
MIT License
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The training results #17

Closed TREASUREPPY closed 4 years ago

TREASUREPPY commented 4 years ago

Hello, first of all, thank you for your work.I repeated your experiment on a 2080TI, 11G memory card.The PSNR/SSIM results on the test set Helen and celebA mentioned in your paper are 26.66/0.804 and 25.61/0.763 respectively, which are quite different from the results in the paper. What is the reason for this?How can I achieve a result similar to your paper? This is my training message, Zhang celebA train_datasets: 10000 batch_size:4 Epoch: 60 The other parameters are unchanged and are the default values in the code.Looking forward to your reply. Thank you very much

rajeevyasarla commented 4 years ago

2000 images from the Helen dataset [13], and randomly selected 25000 images from the CelebA dataset [14] are used as training dataset. and i trained the network for 60 epochs with parameters mentioned in the code to achieve the results.

TREASUREPPY commented 4 years ago

2000 images from the Helen dataset [13], and randomly selected 25000 images from the CelebA dataset [14] are used as training dataset. and i trained the network for 60 epochs with parameters mentioned in the code to achieve the results.

Thank you very much for your reply. I will try to increase my training data.Because my graphics card can only set batchsize=4 at most, it will take more time