PaddleGAN VS stylegan2-pytorch

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

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. (by PaddlePaddle)

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch (by rosinality)
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PaddleGAN stylegan2-pytorch
2 3
7,683 2,659
0.5% -
5.4 0.0
21 days ago 6 months ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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PaddleGAN

Posts with mentions or reviews of PaddleGAN. We have used some of these posts to build our list of alternatives and similar projects.

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 PaddleGAN and stylegan2-pytorch you can also consider the following projects:

DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.

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

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

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

AnimeGANv2 - [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

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

Wav2Lip-GFPGAN - High quality Lip sync

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

Image-Super-Resolution-via-Iterative-Refinement - Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

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.