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View Code? Open in Web Editor NEWpytorch replicate of TP-GAN "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"
License: MIT License
pytorch replicate of TP-GAN "Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis"
License: MIT License
To run the code directly, maybe some other data files are required, for example pretrain_train.list or img.list?
Which dataset do you use when pre-train? Can you share pretrain_train.list and pretrain_val.list with us?
Hello. In pretrain.py, predicts.shape[0] is not equal to labels.shape[0]. The value of predicts.shape[0] is four times that of labels.shape[0]. What does it mean? How can I solve the problem?
Can you please publish some of your results? Also what is the reason for your deviations to the original model? Did they improve the results?
Hello can you explain how you trained your network. I have observed that D_loss goes to zero rapidly and all my gradients "vanish" as i start training.
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