Showing 1-19 of 19 projects
PyTorch implementation of CycleGAN and pix2pix for image-to-image translation
An image-to-image translation library using conditional adversarial networks for tasks like image generation and manipulation.
An image-to-image AI tool that helps developers create and refine their designs and visuals.
An official PyTorch implementation of the StarGAN image-to-image translation model from CVPR 2018.
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets
StarGAN v2 is an open-source PyTorch implementation of a powerful generative model for diverse image-to-image translation.
MUNIT is a deep learning-based method for multimodal unsupervised image-to-image translation, enabling vibe coders to create diverse and stylized images.
Official PyTorch implementation of U-GAT-IT, an unsupervised generative adversarial network for image-to-image translation.
Contrastive unpaired image-to-image translation library using PyTorch, with faster and lighter training than CycleGAN.
Stable Diffusion-powered one-step image-to-image tool for tasks like sketch2image, day2night, and more
An AI-powered creative platform for image generation, inpainting, and more, built for 'vibe coders' working with AI tools.
Unofficial implementation of Palette: Image-to-Image Diffusion Models for AI-powered image generation and restoration.
Generates realistic images from text using a Pix2Pix GAN.
A clean and readable PyTorch implementation of the CycleGAN generative adversarial network for image-to-image translation.
A curated collection of awesome resources for image-to-image translation, a popular computer vision task.
A zero-shot image-to-image translation library for developers building AI-powered creative applications.
A curated collection of image-to-image translation papers and their corresponding code.
Efficient architectures for interactive conditional GANs, useful for image-to-image translation tasks.
A real-time pix2pix implementation for Unity, a popular game engine, enabling AI-powered image-to-image translation.
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