Progressive Image Inpainting (Kolmogorov Team solution for Huawei Hackathon 2019 summer)

Redesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture

This Repository Contains Solution to the Assignments of the Generative Adversarial Networks (GANs) Specialization from deeplearning.ai on Coursera Taught by Sharon Zhou, Eda Zhou, Eric Zelikman

Colorizing Black & White images using GAN

Using Pix2Pix GAN for translating Anime images to something more aesthetic

Generate Faces Using Deep Convolutional Generative Adversarial Networks (DCGAN)

Sketch-to-Image Criminal Identification System using a pix2pix GAN trained on the CUHK dataset to generate realistic images from sketches. A classifier is then trained on mugshot data to identify individuals based on generated images, enhancing forensic sketch recognition with deep learning for accurate identification.

horse2zebra

An Image colorization algorithm using PatchGan and Convolution Block Attention Modules (CBAM)

Generating Maps from Satellite images using the Pix2Pix GAN.

Analysis of different models for mobile ocular biometrics.

Project based on Neural Style Transfer, implemented using a CycleGan architecture

Task: Neural Style Transfer. The implemented solution uses a CycleGan architecture.

This project explores and implements a state-of-the-art approach for automatic image recolorization using Conditional Generative Adversarial Networks (cGANs).

This repo is about an image enhancement