Showing 101-120 of 130 projects
Differentiable data augmentation techniques for efficient training of generative adversarial networks (GANs).
A GAN-based tool for anonymizing faces in images, useful for privacy-preserving computer vision applications.
A repository for awesome face technology with various AI-powered features.
Introductory examples and tutorials on deep generative modeling techniques like VAEs, GANs, and score-based models.
NVlabs/alias-free-gan is a project related to generative adversarial networks (GANs) and image generation.
A tool for breeding and sharing images using BigGAN, a generative adversarial network (GAN) model.
PaddleViT is a state-of-the-art Visual Transformer and MLP model library for the PaddlePaddle 2.0+ deep learning framework.
A powerful GAN-based text-to-image synthesis model for fast large-scale image generation.
An implementation of the CycleGAN generative adversarial network using the TensorFlow library.
A composable GAN framework with API and user interface for building generative AI models.
High-fidelity performance metrics for generative models in PyTorch
Official PyTorch repo for GAN's N' Roses, providing diverse im2im and vid2vid selfie to anime translation.
A Keras implementation of image outpainting, allowing developers to extend images beyond their borders.
A PyTorch library for calculating the Frechet Inception Distance (FID) with proper image resizing and quantization steps.
A comprehensive survey of GAN inversion techniques, a powerful method for manipulating and editing AI-generated images.
A curated collection of image-to-image translation papers and their corresponding code.
An AI-powered tool for anime image inpainting and restoration, useful for computer vision and generative art projects.
Efficient architectures for interactive conditional GANs, useful for image-to-image translation tasks.
A repository for learning TensorFlow, a popular open-source machine learning library in Python.
A PyTorch implementation of the Style-Based GAN architecture for generative adversarial networks.
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