Implementation of the paper "Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data." 🖼️

Trained a generative Adverserial Network (GAN) which when given the satellite image of a place as input, outputs the Map image of that same location. It was trained using standard adverserial training.

My own implementation of a GAN in the BEGAN architecture with pytorch

A pytorch implementation of GAN

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

The main objective of this repository is to become familiar with the task of Domain Adaptation applied to the Real-time Semantic Segmentation networks.

discord python cog for discord tag finder , discrim finder , discrim lookup , tag lookup , 0001 lookup

[CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task

Image Generative Adversarial Networks (GANs) have revolutionized the field of computer vision by enabling the generation of realistic and high-quality images. GANs consist of two neural networks: a generator network that synthesizes images, and a discriminator network that tries to distinguish real images from the generated ones.

Create images of Pokemon using a Deep Convolutional Generative Adversarial Network.

The main objective of this repository is to become familiar with the task of Domain Adaptation applied to the Real-time Semantic Segmentation networks.

Improving MMD-GAN training with repulsive loss function

Investigate mapping of articulations from the image space to the latent space using neural networks.

Unsupervised Domain Adaptation for Computer Vision Tasks

NN based lossless compression

Generation of Human-Like handwritten digits using different GAN Architectures. The models were developed using Low-Level Tensorflow.

In this repository, I have developed a CycleGAN architecture with embedded Self-Attention Layers, that could solve three different complex tasks. Here the same principle Neural Network architecture has been used to solve the three different task. Although truth be told, my model has not exceeded any state of the art performances for the given ta…

AI that generates human faces which have never been seen before. The future is now 😁

An unofficial pytorch implementation for OGAN