Image-to-Image Translation in PyTorch
-
Updated
Nov 7, 2020 - Python
{{ message }}
Image-to-Image Translation in PyTorch
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
Image-to-image translation with conditional adversarial nets
Interactive Image Generation via Generative Adversarial Networks
High-performance image manipulation for web servers. Includes imageflow_server, imageflow_tool, and libimageflow
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Image Deblurring using Generative Adversarial Networks
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Easily compose images together without messing around with canvas
Dali is an image blur library for Android. It contains several modules for static blurring, live blurring and animations.
A React component to crop images/videos with easy interactions
Since Photon now includes CI, it would be great to add build badges to the README, preferably using a shields.io badge. See here for more info: badges/shields#2574 (comment)
Source code of images.weserv.nl, to be used on your own server(s).
Semantics for GNU Image Manipulation Program
With Oblique explore new styles of displaying images
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Pytorch implementation of MixNMatch
BIMP. Batch Image Manipulation Plugin for GIMP.
A fully customizable photo editor for your app.
Cloudinary NPM for node.js integration
React components that utilize Cloudinary functionality
Cloudinary GEM for Ruby on Rails integration
Official SRFlow Code
Add a description, image, and links to the image-manipulation topic page so that developers can more easily learn about it.
To associate your repository with the image-manipulation topic, visit your repo's landing page and select "manage topics."
Is it possible to run this on a (recent) Mac, which does not support CUDA? I would have guessed setting --GPU 0 would not attempt to call CUDA, but it fails.