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: about 1 year ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
nvlabs/stylegan | A deep learning framework implementing a generator architecture for generating images with controllable attributes and disentangled latent factors | 14,152 |
nvlabs/stylegan2-ada-pytorch | An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance. | 4,126 |
postech-cvlab/pytorch-studiogan | A comprehensive PyTorch library providing implementations of various Generative Adversarial Networks (GANs) for image generation and evaluation. | 3,430 |
nvlabs/stylegan2 | Improves upon the state-of-the-art architecture for generating high-quality images using a GAN-based approach | 10,991 |
kupynorest/deblurgan | An image deblurring system using Generative Adversarial Networks (GANs) to restore sharpness from blurry images. | 2,516 |
junyanz/igan | Interactive image generation using Generative Adversarial Networks to satisfy user edits in real-time | 3,977 |
eriklindernoren/pytorch-gan | PyTorch implementations of Generative Adversarial Networks for image synthesis | 16,453 |
tkarras/progressive_growing_of_gans | A training methodology for generative adversarial networks to improve quality and stability | 6,095 |
nvlabs/imaginaire | A PyTorch library providing optimized implementations of image and video synthesis methods developed at NVIDIA. | 4,015 |
lucidrains/dalle2-pytorch | An implementation of DALL-E 2's text-to-image synthesis neural network in PyTorch | 11,148 |
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. | 8,088 |
nvidia/pix2pixhd | Generates photorealistic images from conditional inputs using deep neural networks | 6,667 |
nvlabs/instant-ngp | A software toolkit for training and rendering neural graphics primitives | 16,033 |
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 | 10,575 |