DeRaindrop
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Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
HI, do you have the dataset download link which can be used in the mainland? such as Baidu yun? I try many times , but I can not get the...
Hey Rui, Your work is interesting and amazing!!! Could you please release some training details like batch size, input size? I guess you input the whole image into the net...
谢谢作者的工作,我用1080的GPU运行demo都超出内存了,请问用的什么GPU训练和测试呢?谢谢
Hello! Thank you for releasing the code. I don't know how you get the binary mask M in the following formula. Could you tell me how you did it?Thank you!...
Excuse me, why do I test my own graphics without any effect?In addition,does the generated graph of the test have no attention map?
the code in discriminator.py(68-70): “” x = self.conv7(x * mask) x = self.conv7(x) x = self.conv8(x) “” is "x = self.conv7(x)" extra?you can't run the code with “x = self.conv7(x)”...
Thanks for sharing this amazing code, but I have a question that how to train the model and which kind of GPU for training? I only find predict.py, could you...
Could you please release more information about the training details such as batch_size, learning rate , epoch nums if it matters nothing? Thanks a lot