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? Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization ?
NN based lossless compression
Improving MMD-GAN training with repulsive loss function
This repository contains my full work and notes on Deeplearning.ai GAN Specialization (Generative Adversarial Networks)
Improved training of Wasserstein GANs
Adversarial Semantic Scene Completion from a Single Depth Image, accepted in 3DV 2018
A TensorFlow implementation of ESRGAN
[CVPR 2023] GLeaD: Improving GANs with A Generator-Leading Task
This repo contains the code that generates Digimon images using the concept of GAN
使用PaddlePaddle复现Real-ESRGAN
A Generative Adversarial Network (GAN) trained on the MNIST dataset, capable of creating fake but realistic looking MNIST digit images that appear to be drawn from the original dataset.