Slight modifications to the official StyleGAN2 implementation

AI-Powered Clothing Design Generator

TensorFlow implementation of a DCGAN to generate CryptoPunks + Gradio and Streamlit apps

A butterfly generator using GANs

Generate Synthetic Handwriting using PyTorch based Conditional-DCGANS

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Ensembling Off-the-shelf Models for GAN Training (CVPR 2022 Oral)

Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data - Official PyTorch Implementation (CVPR 2022)

Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

StyleGAN-Human: A Data-Centric Odyssey of Human Generation

[NeurIPS'21] Projected GANs Converge Faster

DrCyZ: Techniques for analyzing and extracting useful information from CyZ.

3D-DCGAN trained on a corpus of 3D printable objects - as a result, the generations are usually 3D printable

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

[ICLR'23] Code to reproduce the results in the paper "PandA: Unsupervised Learning of Parts and Appearances in the Feature Maps of GANs"

3D GAN inversion

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Authors official PyTorch implementation of the "ContraCLIP: Interpretable GAN generation driven by pairs of contrasting sentences".

Official PyTorch implementation of BlobGAN: Spatially Disentangled Scene Representations

PyTorch implementation of AnimeGANv2

StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)

🖼 Training StyleGAN2 at scale on TPUs

Rewriting Geometric Rules of a GAN: Warp a GAN model to customized, out-of-domain shapes.

Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion