stylegan3
GAN architecture
An implementation of a generative adversarial network architecture designed to improve image synthesis and video generation capabilities
Official PyTorch implementation of StyleGAN3
6k stars
55 watching
1k forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists
amrzv/awesome-colab-notebooks
jonathandinu/ai4artistsRelated projects:
| Repository | Description | Stars |
|---|---|---|
| nvlabs/stylegan | A deep learning framework implementing a generator architecture for generating images with controllable attributes and disentangled latent factors | 14,178 |
| nvlabs/stylegan2-ada-pytorch | An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance. | 4,144 |
 postech-cvlab/pytorch-studiogan | A comprehensive PyTorch library providing implementations of various Generative Adversarial Networks (GANs) for image generation and evaluation. | 3,439 |
| nvlabs/stylegan2 | Improves upon the state-of-the-art architecture for generating high-quality images using a GAN-based approach | 11,010 |
 kupynorest/deblurgan | An image deblurring system using Generative Adversarial Networks (GANs) to restore sharpness from blurry images. | 2,531 |
 junyanz/igan | Interactive image generation using Generative Adversarial Networks to satisfy user edits in real-time | 3,979 |
 eriklindernoren/pytorch-gan | A collection of PyTorch implementations of Generative Adversarial Networks for image synthesis and other applications. | 16,570 |
 tkarras/progressive_growing_of_gans | A training methodology for generative adversarial networks to improve quality and stability | 6,110 |
| nvlabs/imaginaire | A PyTorch library providing optimized implementations of image and video synthesis methods developed at NVIDIA. | 4,025 |
 lucidrains/dalle2-pytorch | An implementation of DALL-E 2's text-to-image synthesis neural network in PyTorch | 11,184 |
| lucidrains/imagen-pytorch | Implements Google's Text-to-Image Neural Network in PyTorch using a cascading DDPM architecture with dynamic clipping and noise level conditioning. | 8,127 |
 nvidia/pix2pixhd | Generates photorealistic images from conditional inputs using deep neural networks | 6,685 |
| nvlabs/instant-ngp | A software toolkit for training and rendering neural graphics primitives | 16,115 |
 karoly-hars/gan_image_colorizing | This project explores image colorization using generative adversarial networks on the CIFAR10 dataset. | 11 |
 jacobgil/pytorch-grad-cam | A package providing advanced explainability methods for deep learning models in computer vision | 10,781 |