GitHub

FW-GAN: Frequency-Driven Handwriting Synthesis with Wave-Modulated MLP Generator

conda create --name fwgan python=3.10 conda activate fwgan pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu126 git clone https://github ...
GitHub

MahdisSep/GAN-Based-Image-Denoising-PyTorch

This project demonstrates the power of Generative Adversarial Networks (GANs), specifically a Conditional GAN (cGAN) variant, for the task of image restoration (Denoising). The model learns to ...
Visual Studio Magazine

Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch

These variations include Info GAN, Conditional GAN, Cycle GAN, f-GAN, Wasserstein GAN and many others. Because publish-or-perish is a very real phenomenon in research, it's not entirely clear how much ...
Visual Studio Magazine

Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch

Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep neural system that can be used to generate synthetic data for machine learning scenarios, such as generating ...