lr-gan.pytorch
lr-gan.pytorch copied to clipboard
jwyang
Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"
The requested URL /~jw2yang/datasets/cub200.tgz was not found on this server.
Thank you for release the code of lr-gan. However, the links of the datasets are dead.
Thank you for release the code of lr-gan. However, the links of the datasets are dead.
Hello, First of all, thank you for your open-source implementation of the lr-gan model. My end goal is to build on this model in order to do unsupervised detection, and...
Implementation of the STNM module in pytorch. also use the native torch.nn.functional.affine_grid to generate the grid.
missing parameters for lfw dataset. denormalize the images when saving to disk.
It seems the background layer has enough capacity to model complex image in your paper's figures, but I didnt find any regularization term about this for G in your code....
Hello, could you say the versions of the software, on which you ran this model? CUDA, nvidia driver, pytorch, torchvision, version of python, type of operation system?
Hi @jwyang , I'm very impressed by your work and very thanks for your publication code. I have few questions about part 5.4 about how to train the Category specific...
