yuxinn-j / scenimefy Goto Github PK

Hi! I wonder how long does it take for one group of experiment? Thanks!

Thanks for your work,

1. Will you post more models
2. The test portrait effect is very poor, why?

In the README there are the instructions on how to train a custom model. It says to run train.py, but this file is missing.

Hello 👋 very interesting work! Do you have any plans to release StyleGAN finetuning scripts?

Where can I get your test dataset you mentioned in your paper?

Could you please tell me how to train your model for this code?

Hi, thank you for your greate work! But I don't find where the StylePatchNCE loss, can you help me? I'm looking forward your repying.

Hello, I have a question: why are real_A and real_B spliced ​​together when training unpaired images, but there is no such step when training paired images?
"""
Run forward pass; called by both functions <optimize_parameters> and ."""
self.real = torch.cat((self.real_A, self.real_B),
dim=0) if self.opt.dce_idt and self.opt.isTrain else self.real_A
if self.opt.flip_equivariance:
self.flipped_for_equivariance = self.opt.isTrain and (np.random.random() < 0.5)
if self.flipped_for_equivariance:
self.real = torch.flip(self.real, [3])

    # forward unpaired data
    self.fake = self.netG(self.real)
    self.fake_B = self.fake[:self.real_A.size(0)]
    if self.opt.dce_idt:
        self.idt_B = self.fake[self.real_A.size(0):]

    # forward paired data
    self.fake_p = self.netG(self.real_A_p)
    self.fake_B_p = self.fake_p[:self.real_A_p.size(0)]

From the project web, those demo videos look very stable and amazing. How to process a video? Just extract a video to frames and process frames one by one? Or there is other stability tech？