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Original implementation of the paper "VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss" by Shion Honda.

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Hello! im trying to run the project but this error appears when trying to run networks.py, in the function: def forward(self, x): x = self.conv(x) **x = x.view(x.size(0), -1)**

How to get the keypoints, in the test or in the actual production environment, how to get the keypoints input by the model?

Getting this error while running train_gmm.py > > Namespace(batch_size=16, data_root='data', fine_height=256, fine_width=192, gpu_id='0', grid_size=5, log_freq=100, n_epoch=100, n_worker=16, name='GMM', out_dir='../result', radius=5) > Loading dataset > Building GMM model > Total Parameters:...

I tried to download the trained model from the provided link, but it is 404, not accessable. Could you help?

as you mentioned in your research paper that your model is better than cp vton but the truth is your model is not even close to the cp vton.

I implemented the code as mention in this repo and cp-vton repo. Everything is working fine, but the model results from the part 1 model is not as expected, Would...