Hi, I have a doubt about nn.PixelShuffle and nn.ConvTranspose2d. In the upsampling layer, some use nn.PixelShuffle while others use nn.ConvTranspose2d. The number of filters belong to nn.PixelShuffle is scale^2 times that of number of filters belong to nn.ConvTranspose2d. However, I don't find any authors describing the difference between the two methods in their paper.
Have you thought about this and experimented? Will these two methods have an impact on the training results?
Hi, I have a doubt about nn.PixelShuffle and nn.ConvTranspose2d. In the upsampling layer, some use nn.PixelShuffle while others use nn.ConvTranspose2d. The number of filters belong to nn.PixelShuffle is scale^2 times that of number of filters belong to nn.ConvTranspose2d. However, I don't find any authors describing the difference between the two methods in their paper.
Have you thought about this and experimented? Will these two methods have an impact on the training results?
Best~