Code for the paper "Improved Techniques for Training GANs"
Awesome-GANs is a curated resource list and research repository focused on the development and evaluation of generative adversarial networks. It serves as a structured index for academic literature and open-source implementations dedicated to the creation of synthetic data generators. The project provides a framework for training competing neural networks to produce outputs that mimic the statistical properties of original datasets. It emphasizes the use of configuration-driven pipelines to manage model hyperparameters and dataset paths, facilitating reproducible research workflows and standa
A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".
The main features of edwardsmith1884/3d-iwgan are: Generative Adversarial Networks, Security and Privacy.
Open-source alternatives to edwardsmith1884/3d-iwgan include: openai/improved-gan — Code for the paper "Improved Techniques for Training GANs". martinarjovsky/wassersteingan — Wasserstein GAN. kozistr/awesome-gans — Awesome-GANs is a curated resource list and research repository focused on the development and evaluation of… ayanc/rpgan — RP-GAN: Stable GAN Training with Random Projections. costapt/vess2ret. christopher-beckham/gan-heightmaps.
