Using WGAN-gp and creating art portraits.
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Updated
May 27, 2024 - Python
Using WGAN-gp and creating art portraits.
This system provides the facility to convert roughly hand-drawn humam face sketch image into a realistic face image by using image generative AI in a real-time.
Integrating LSTM with GAN's Model
Generating different facial expressions.It uses diferent types of Generative Adversarial Network to generate the required outputs.
This project focuses on the task of Generative Adversarial Network using dataset sourced from Kaggle. The primary goal of this repository is to develop a deep learning model capable of generating high quality, diverse, and realistic images of cat faces.
An AI/ML model that uses Generative Adversarial Networks to create images from a sample dataset. 5th Attempt
This repository uses modules from Swin Transformer to build Transformer-based Generative Adversarial Networks (GANs) models.
(SIGCOMM '22) Practical GAN-based Synthetic IP Header Trace Generation using NetShare
The first GANs-based omics-to-omics translation framework
StyleGAN2-ADA for generation of synthetic skin lesions
Black and Power Metal Album Art Generator with DCGAN
Mode Selection/Covering of GANs (TensorFlow 2)
Some notes on AI/ML and Mathematics
Created by Mehmet Zahid Genç
Implementing Age Transformation using Generative Models.
Creating a dataset of varied celestial objects to get a broader perspective of Universe.
A cartoonizer able to turn your images or videos to high-quality real-life cartoons using the power of GANs and Vgg16 NN archticture
Open source code and ressources for SIP-GAN paper.
A MNIST GAN implemented from scratch in C++
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