Image-to-Image Translation in PyTorch
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Updated
May 14, 2024 - Python
Image-to-Image Translation in PyTorch
Official Code for DragGAN (SIGGRAPH 2023)
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Bringing Old Photo Back to Life (CVPR 2020 oral)
Image-to-image translation with conditional adversarial nets
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.)
An arbitrary face-swapping framework on images and videos with one single trained model!
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Interactive Image Generation via Generative Adversarial Networks
🎨 Classic MS Paint, REVIVED + ✨Extras
Image Deblurring using Generative Adversarial Networks
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
2D raster & vector editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.
Cloudinary NPM for node.js integration
Cloudinary GEM for Ruby on Rails integration
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Cloudinary Angular client library
Cloudinary JavaScript library
React components that utilize Cloudinary functionality
PhotoEditor SDK: A fully customizable photo editor for your app.
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