discriminator topic
GAN
We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.
JsonKnownTypes
Simple way to serialize and deserialize polymorphic types for Json.NET
Real-Time-Super-Resolution
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
Digimon-Generator-GAN
This repo contains the code that generates Digimon images using the concept of GAN
CycleGAN-with-Self-Attention
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 ha...
WassersteinGAN_GP-PyTorch
Improved training of Wasserstein GANs
artificial-text-detection
Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.
These-People-Do-Not-Exist
AI that generates human faces which have never been seen before. The future is now 😁
glead
[CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task
gans-on-image-classification
Transfer Learning on GANs