Showing 1-17 of 17 projects
PyTorch implementation of CycleGAN and pix2pix for image-to-image translation
Generates images from paintings using CycleGAN, a deep learning-based algorithm.
An image-to-image translation library using conditional adversarial networks for tasks like image generation and manipulation.
PaddleGAN is a high-performance GAN library for developers working with AI-powered applications like image editing, style transfer, and motion transfer.
A PyTorch library for synthesizing and manipulating high-resolution 2048x1024 images using conditional GANs.
instruct-pix2pix is a Python library that allows generating images from text prompts using AI models.
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets
A generative adversarial network (GAN) model for learning and transferring Chinese character styles.
MUNIT is a deep learning-based method for multimodal unsupervised image-to-image translation, enabling vibe coders to create diverse and stylized images.
A PyTorch-based library for generating 3D objects from 2D user inputs using pix2pix-style GAN models.
A collection of TensorFlow 2.0 examples for deep learning, computer vision, and more.
Generates realistic images from text using a Pix2Pix GAN.
Implementation of various generative adversarial network (GAN) models in popular deep learning frameworks
A pix2pix demo that learns from facial landmarks and translates this into a face, useful for AI-powered face generation.
A zero-shot image-to-image translation library for developers building AI-powered creative applications.
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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