Tandon-A/Image-Editing-using-GAN
Developing an image editing application to edit images to have a desired attribute using Generative Adversarial Networks(DCGAN and CycleGAN) (https://tandon-a.github.io/Image-Editing-using-GAN/)
This helps visual content creators and designers modify images to achieve a desired look or attribute. You input an existing image, and it outputs a new version of that image with specific changes, like adding a hat to a person, changing hair color, or transforming a summer scene into winter. This is ideal for graphic designers, marketers, or anyone needing to visualize changes in images.
No commits in the last 6 months.
Use this if you need to quickly generate variations of existing images by applying specific visual attributes or transforming styles without manual editing.
Not ideal if you need pixel-perfect, highly detailed, and nuanced image manipulations, or if you require fine-grained control over every aspect of the edit.
Stars
30
Forks
9
Language
Python
License
MIT
Category
Last pushed
May 10, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/Tandon-A/Image-Editing-using-GAN"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
yunjey/domain-transfer-network
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
taesungp/contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV...
PaddlePaddle/PaddleGAN
PaddlePaddle GAN library, including lots of interesting applications like First-Order motion...
tohinz/ConSinGAN
PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)
sagiebenaim/DistanceGAN
Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017