StyleGAN.pytorch VS stylegan2-pytorch

Compare StyleGAN.pytorch vs stylegan2-pytorch and see what are their differences.

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch (by rosinality)
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StyleGAN.pytorch stylegan2-pytorch
1 3
360 2,659
- -
10.0 0.0
over 2 years ago 6 months ago
Python Python
GNU General Public License v3.0 or later MIT License
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StyleGAN.pytorch

Posts with mentions or reviews of StyleGAN.pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-04.
  • I'm stumped with installing PyTorch.
    3 projects | /r/pytorch | 4 Oct 2022
    I've still yet to try this one: https://github.com/huangzh13/StyleGAN.pytorch but at this point it might just be worth trying the Jupiter thingie. I sort of understand what it is.

stylegan2-pytorch

Posts with mentions or reviews of stylegan2-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-04.
  • Converting a .pkl file to a .pt for StyleGan2 Model
    1 project | /r/deeplearning | 10 Feb 2023
  • I'm stumped with installing PyTorch.
    3 projects | /r/pytorch | 4 Oct 2022
    Originally I wanted to run https://github.com/JCBrouwer/maua-stylegan2. I was trying to run the convert_weight.py but it resulted in shape mismatch errors in torch torch.Size([1, 512, 4, 4]) vs torch.Size([1]), so I tried the version here https://github.com/rosinality/stylegan2-pytorch/blob/master/convert_weight.py and the result was the same.
  • [D] Node Collapse with StyleGAN2 - ada
    1 project | /r/MachineLearning | 29 Apr 2021
    Used this implementation (https://github.com/rosinality/stylegan2-pytorch) to better understand the code. IMO it is written way more clearly than the official implementation. You should spend a lot of time reviewing the code until you understand what each line is doing. It isn't helpful that their aren't very many comments, but you should be able to recognize different architectures and calculations from the paper. Understanding the details is key. Don't let your eyes glaze over any part of it.

What are some alternatives?

When comparing StyleGAN.pytorch and stylegan2-pytorch you can also consider the following projects:

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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.

gangealing - Official PyTorch Implementation of "GAN-Supervised Dense Visual Alignment" (CVPR 2022 Oral, Best Paper Finalist)

stylegan-waifu-generator - Generate your waifu with styleGAN, stylegan老婆生成器

Ghost-DeblurGAN - This is a lightweight GAN developed for real-time deblurring. The model has a super tiny size and a rapid inference time. The motivation is to boost marker detection in robotic applications, however, you may use it for other applications definitely.

PyTorch-StudioGAN - StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

ElasticFace - Official repository for ElasticFace: Elastic Margin Loss for Deep Face Recognition

anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

flaxmodels - Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

maua-stylegan2 - This is the repo for my experiments with StyleGAN2. There are many like it, but this one is mine. Contains code for the paper Audio-reactive Latent Interpolations with StyleGAN.