PTI VS pytorch-gans

Compare PTI vs pytorch-gans and see what are their differences.

PTI

Official Implementation for "Pivotal Tuning for Latent-based editing of Real Images" (ACM TOG 2022) https://arxiv.org/abs/2106.05744 (by danielroich)

pytorch-gans

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN (by aniketmaurya)
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PTI pytorch-gans
4 1
881 20
- -
2.7 0.0
6 months ago about 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
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.

PTI

Posts with mentions or reviews of PTI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-27.

pytorch-gans

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

What are some alternatives?

When comparing PTI and pytorch-gans you can also consider the following projects:

stylegan-encoder - StyleGAN Encoder - converts real images to latent space

iSeeBetter - iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

DragGAN - Official Code for DragGAN (SIGGRAPH 2023)

pixel2style2pixel - Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

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

Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

Pytorch

sd-webui-dragGAN-extension - extension of stable diffusion webui for dragGAN

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)