This project implements a Pix2Pix Conditional GAN that generates realistic images from edge outlines, using object masks from the COCO 2017 dataset. The model learns to translate binary edge maps into colored, high-resolution dog/object images using a U-Net-based generator and a PatchGAN discriminator.

Generative_Image_Rotation: Using Pix2Pix cGAN to transform randomly oriented Protoplanetary Disk images into standardized face-on views for astronomical research.

Open-source tool for removing stars from deep sky images.

APP For training GAN Models on Architecture Plan

This model, based on a Conditional Generative Adversarial Network (cGAN) architecture, transforms satellite imagery into map-like representations.

Tora is an image to video model built using the pix2pix GAN architecture.

This is a list of Deep Learning models I built to enhance my skills as a machine learning engineer.

Generating cat images from sketches using a conditional generative adversarial network (pix2pix) in TensorFlow

This project implements an image-to-image translation model using the Pix2Pix architecture with TensorFlow. The goal is to generate realistic images from input images using the TU-Graz dataset.

Utilize a MobileNetV2 encoder and Pix2Pix decoder to perform precise semantic segmentation, distinguishing objects in images, such as identifying flooded areas in flood images. The purpose is to enable accurate object delineation for applications like disaster response and environmental monitoring.

The GAN Book: Train stable Generative Adversarial Networks using TensorFlow2, Keras and Python.

An implementation of pix2pix GAN to improve Xray image quality

pix2pix demo that learns from facial landmarks and translates this into a face

Study and Try Pix2Pix (cGAN Loss, L1 Loss, Unet, Patch GAN, PSNR) with KITTI dataset for Denoising and Super-Resolution

An experiment on pix2pix GAN

🎮 Remove focus from an image using IA - Pix2Pix

👤 Cutting people out automatically using Image translation's architecture Pix2Pix

A free and open source tool for star removal in astronomy images. A GAN model implemented in tensorflow and trained to remove stars from astronomical images