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Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

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Thanks for your great work! The results are amazing! However, I found when I only use the inference.py with pretrained model , it still needs a GPU there, is it...

Hi @omertov, Your research is so awesome and thanks for sharing your code. I am using the Car encoder, but I realize that the training dataset for the car encoder...

Thanks for all your hard and wonderful works here. I am wondering if you have plan to release the pretrained model for cat inversion. Thanks!

I found that the op extension you use here is different from the original one. Is there any difference here? What is the purpose?

Thanks for your great work! Sorry for my english But line 428 in coach.py. It should add latent_avg of style gan ? It's right or my mistake ? ![image](https://user-images.githubusercontent.com/34626618/115982134-e50cec80-a5c2-11eb-975f-636a72927ee3.png)

Nice work you did. When I read the code carefully, I found the code in coach.py in line 402 " self.discriminator.zero_grad() r1_final_loss = self.opts.r1 / 2 * r1_loss * self.opts.d_reg_every...

…st (batch_size) dimension, and the code breaks when using batch_size =1. pytorch lacks a functionality squeeze multiple dims at once, so using reshape() instead. patched the bug in this commit.

I have trained a StyleGAN2-ADA generator on my own images and now trying different inversion methods. My first question after reading your paper is if I can use my pretrained...