Official Code for DragGAN (SIGGRAPH 2023)
-
Updated
Jul 18, 2023 - Python
Official Code for DragGAN (SIGGRAPH 2023)
Image-to-Image Translation in PyTorch
Bringing Old Photo Back to Life (CVPR 2020 oral)
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
High-performance image manipulation for web servers. Includes imageflow_server, imageflow_tool, and libimageflow
Interactive Image Generation via Generative Adversarial Networks
2D raster & vector editor that melds traditional layers & tools with a modern node-based, fully non-destructive procedural workflow.
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.
Image Deblurring using Generative Adversarial Networks
A React component to crop images/videos with easy interactions
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
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
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."