stylegan2 VS pix2pix

Compare stylegan2 vs pix2pix and see what are their differences.

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stylegan2 pix2pix
25 6
8,738 8,736
1.9% -
2.9 0.0
about 1 month ago 6 months ago
Python Lua
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of stylegan2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-29.


Posts with mentions or reviews of pix2pix. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-29.
  • Help with GAN Pix2Pix Code!
    1 project | | 25 Aug 2021
    # Resize all images in a folder by 1/2 # modified from # from pdb import set_trace as st import os import numpy as np import cv2 import argparse parser = argparse.ArgumentParser("resize images by 1/2") parser.add_argument( "--fold_A", dest="fold_A", help="input directory for original images", type=str, default="./test_A", ) parser.add_argument( "--fold_C", dest="fold_C", help="output directory", type=str, default="./test_C" ) args = parser.parse_args() for arg in vars(args): print("[%s] = " % arg, getattr(args, arg)) img_list = os.listdir(args.fold_A) if not os.path.isdir(args.fold_C): os.makedirs(args.fold_C) for name_A in img_list: path_A = os.path.join(args.fold_A, name_A) if os.path.isfile(path_A) and not name_A.startswith( "." ): # skip . and .. and folders im_A = cv2.imread(path_A, cv2.IMREAD_COLOR) # Example: scale_down by factor 1/2 both dimensions scale_down = 0.5 im_C = cv2.resize( im_A, None, fx=scale_down, fy=scale_down, interpolation=cv2.INTER_LINEAR ) # store resized image with same name as in folder A path_C = os.path.join(args.fold_C, name_A) cv2.imwrite(path_C, im_C)
  • cGAN (img2img) Translation Applied to 3D Scene Post-Editing
    2 projects | | 29 Jul 2021
    This project uses the pix2pix Image translation architecture ( for 3D image post-processing. The goal was to test the 3D applications of this type of architecture.
  • trained the model based on dark art sketches. got such bizarre forms of life
    2 projects | | 2 Jul 2021
    It seems like this even would make for a cool website, like pix2pix
  • Final Year Project on DCGAN for MNIST: Need Advice from the Wise Minds of Reddit
    2 projects | | 29 Apr 2021
    Most improvements from recent GANs' papers usually tinker with the network architecture or loss functions used. Eg. recent near-human quality StyleGANv2 used progressive growing networks, or the GAN that coined image-to-image translation used modified loss function to better learn mapping between images. You can try explore those two factors
  • Grainy output of pix2pix GAN
    2 projects | | 12 Apr 2021
    I remember using the original source and I really did not modify much. For the face pictures I used 600 train pics and 5 hours (Azure NV6).
  • [Hobby Scuffles] Week of March 21, 2021
    2 projects | | 22 Mar 2021
    pix2pix, vid2vid a bit harder to use, especially if you don't know your way around a linux shell. definitely possible to get some cool results though.

What are some alternatives?

When comparing stylegan2 and pix2pix you can also consider the following projects:

stylegan - StyleGAN - Official TensorFlow Implementation

CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

naver-webtoon-faces - Generative models on NAVER Webtoon faces


stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

awesome-pretrained-stylegan2 - A collection of pre-trained StyleGAN 2 models to download

ffhq-dataset - Flickr-Faces-HQ Dataset (FFHQ)

stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

waifu2x - Image Super-Resolution for Anime-Style Art

LiminalGan - A stylegan2 model trained on liminal space images

perspective-change - cGAN Based 3D Scene Re-Compositing