alias-free-gan-pytorch
alias-free-gan
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alias-free-gan-pytorch
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When is the alias-free GAN code going to be released?
And do you necessarily need the original NVidia implementation? It will be under a limited NVidia Source Code Licence anyway. Alias-free GAN has been already implemented by Rosinality https://github.com/rosinality/alias-free-gan-pytorch (MIT license) and is maintained and extended by duskvirkus https://github.com/duskvirkus/alias-free-gan
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Anime Alias-Free GAN Interpolation
Someone else did https://github.com/rosinality/alias-free-gan-pytorch!
alias-free-gan
- When is the alias-free GAN code going to be released?
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Anime Alias-Free GAN Interpolation
Curious how you managed to make this since the code hasn't been released yet https://github.com/NVlabs/alias-free-gan Did you write it from the research paper, if so do you have a github link?
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Alias-Free GAN
This isn't true. I do ML every day. You are mistaken.
I click the website. I search "model". I see two results. Oh no, that means no download link to model.
I go to the github. Maybe model download link is there. I see zero code: https://github.com/NVlabs/alias-free-gan
zero code. Zero model.
You, and everyone like you, who are gushing with praise and hypnotized by pretty images and a nice-looking pdf, are doing damage by saying that this is correct and normal.
The thing that's useful to me, first and foremost, is a model. Code alone isn't useful.
Code, however, is the recipe to create the model. It might take 400 hours on a V100, and it might not actually result in the model being created, but it slightly helps me.
There is no code here.
Do you think that the pdf is helpful? Yeah, maybe. But I'm starting to suspect that the pdf is in fact a tech demo for nVidia, not a scientific contribution whose purpose is to be helpful to people like me.
Okay? Model first. Code second. Paper third.
Every time a tech demo like this comes out, I'd like you to check that those things exist, in that order. If it doesn't, it's not reproducible science. It's a tech demo.
I need to write something about this somewhere, because a large number of people seem to be caught in this spell. You're definitely not alone, and I'm sorry for sounding like I was singling you out. I just loaded up the comment section, saw your comment, thought "Oh, awesome!" clicked through, and went "Oh no..."
What are some alternatives?
stylegan-waifu-generator - Generate your waifu with styleGAN, stylegan老婆生成器
NVAE - The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
tensor2tensor - Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
ilo - [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
compare_gan - Compare GAN code.
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
alias-free-gan - Unofficial Alias-Free GAN implementation. Based on rosinality's version with expanded training and inference options.