Showing 1-13 of 13 projects
Deep learning paper implementations with side-by-side notes and explanations
StyleGAN2 is an official TensorFlow implementation of a state-of-the-art generative adversarial network.
An open-source toolbox for image and video restoration tasks like super-resolution, denoising, and deblurring.
PaddleGAN is a high-performance GAN library for developers working with AI-powered applications like image editing, style transfer, and motion transfer.
An official PyTorch implementation of StyleGAN2-ADA, a state-of-the-art generative adversarial network for realistic image synthesis.
VToonify: A high-resolution portrait video style transfer tool using StyleGAN2.
Generative Adversarial Networks (GANs) library for PyTorch, enabling image generation and conditional/unconditional image synthesis.
A series of face generators based on StyleGAN2, a popular AI-powered image generation model.
StyleGAN2 implementation with adaptive discriminator augmentation (ADA) for training high-quality generative models.
Generates high-resolution portrait style transfer using the Dual StyleGAN model.
A collection of pre-trained StyleGAN 2 models for AI-powered generative art and image synthesis.
A Python library for training and using StyleGAN2, a popular deep learning-based image generation model.
Official PyTorch implementation of a CVPR 2022 paper on GAN-supervised dense visual alignment.
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