Automatic Colorization of images using cGAN

Python code to convert hand drawn sketches into abstract art using GANs

Implemented and experimented with GAN, Conditional GAN and Deep-Convolutional GAN on various datasets for comparison, learning and demonstration purposes

Generate 256x256, 512x512 resolution images with simple Convolutional GAN by adding Gaussian noise to discriminator layers.

Manga Colorization and Style Transfer

Tạo màu cho ảnh xám sử dụng mạng đối nghịch tạo sinh có điều kiện.

GANs are cool

심화 R&E

Implementation of a cGAN to perform a data generation task on the CIFAR10 dataset. This generation can be used both to augment the original CIFAR10 dataset or to generate a new dataset, based on CIFAR10 classes, from scratch. It also has been implemented a pre-trained classifier in order to evaluate the performance of the cGAN model.

This project implements a Text to Image Generator using a Conditional Generative Adversarial Network (GAN) for synthesizing floorplan images from textual descriptions. It includes features such as custom dataset handling, performance metrics like FID and IS, and configurable training options for optimization.

🎨Implementations of colorization algorithms.

Repository for (Un)Clear SoC Project, done in the Summer of 2021.

During my studies I had a lot of trouble finding a cDCGAN architecture that worked as I expected, so I decided to write my own version, finding an alternative way to condition it.

This repository contains the code for the paper "Icon Generation with Conditional GANs".

CGAN for vehicle trajectories prediction

FashionMnist-CGAN

CGAN and DCGAN networks used to generate card suits

jittor-纺大人工智能小队-热身赛

🖼️ A handwritten number generator build with PyTorch.