A Collection of AIGC Research Groups

A Collection of Papers and Codes for CVPR2024/ECCV2024 AIGC

This project implements a Deep Convolutional GAN (DCGAN) to generate handwritten digit images similar to those in the MNIST dataset. The project includes the model design, training script, and utilities for managing data and generating images, all set up to run in a self-contained environment.

Implementation of CycleGAN based model from scratch on Person Face Sketch Dataset.

Raw C/cuda implementation of 3d GAN

Creating Anime Faces using Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN, StyleGAN, StyleGAN2 and StyleGAN3. Top repos on GitHub for AnimeFace GAN Generative AI Models

Developed for the "Neural Networks and Deep Learning" course, this project utilizes PyTorch for GAN implementation.

In this repository, I will implement variety of GAN model using Tensorflow framework

Repository of Applications of Quantum Machine Learning in HEP

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

Collection of GANs created during development.

This repo contains the project work carried out for the course Deep Learning in my B. Tech Final Year DA-IICT. It is the replication of the code in simpler terms available on GitHub.

This is a DCGAN trained on MNIST model. It has all the specifications as described the original paper on Deep Convolutional General Adversarial Training

Uses a Pretrained Network (using Google's Deepmind) to generate images.

All GAN models in Keras