StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
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Updated
Aug 7, 2023 - Python
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
HyperInverter: Improving StyleGAN Inversion via Hypernetwork (CVPR 2022)
Simplified pytorch lightning port of StyleGAN2-ADA
Official Implementation for "StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation" (ICCV 2023)
Experimental repository attempting to project facial landmarks into the StyleGAN2 latent space.
An easy gift idea for Secret Santa using StyleGAN
creates ability icon images utilizing procgen and neural networks
creates item images utilizing procgen and neural networks
Code for StyleGAN-based simulation of X-ray baggage images for security screening
Yet another StyleGAN 2.0 implementation using Chainer with Adaptive Discriminator Augmentationto to synthesize specific Precure (Cure Beauty) images
Fake watches generated with custom StyleGAN - ADA
Adaptive Discriminator Augmentation
Official repository of the paper: ArcBiFaceGAN: Generating Bimodal Privacy-Preserving Data for Face Recognition
Persian carpets trained on stylegan2-ada
PyTorch implementation of StyleGAN2 for generating high-quality Anime Faces.
This repository contains code for emotion swap.
In this project we compare how deep learning models perform in dearth of labelled data using various methods currently used, we also propose a two-stage training pipeline for 60% better accuracy and 50% smaller model size.
DCGAN for EMNIST dataset and STYLEGAN for Interpolation
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