GFP-GAN is a New Free AI Tool That Can Fix Most Old Photos …
Jul 28, 2022 · Impressive AI Restoration of Pictures! A newly-released artificial intelligence (AI) model called the “Generative Facial Prior” (GFP-GAN) can repair most old photographs in mere seconds, and it...
Ranshhhh/Old-Photo-Restoration-GFP_GANs- - GitHub
Old Photo Restoration (GFP_GANs)" is a GitHub repository dedicated to the restoration of old and damaged photographs using Generative Adversarial Networks (GANs). This repository contains code and resources for training and utilizing GAN models specifically designed for the task of restoring old photos - Ranshhhh/Old-Photo-Restoration-GFP_GANs-
GitHub - tensorlayer/SRGAN: Photo-Realistic Single Image Super ...
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
GitHub - TencentARC/GFPGAN: GFPGAN aims at developing …
GFPGAN aims at developing a Practical Algorithm for Real-world Face Restoration. It leverages rich and diverse priors encapsulated in a pretrained face GAN (e.g., StyleGAN2) for blind face restoration. Frequently Asked Questions can be found in FAQ.md. 🚩 Updates. Add RestoreFormer inference codes.
GFP-GAN Photo Restoration Online - Retouching Labs
Feb 27, 2024 · GFP-GAN photo restoration online represents a breakthrough in digital image enhancement, offering a seamless and efficient way to breathe new life into old photographs. This cutting-edge technology, fueled by advanced machine learning algorithms, has the power to revive memories, correct damages, and preserve the visual narratives captured in ...
How to Restore Damaged Photos with GFPGAN - DigitalOcean
Oct 3, 2024 · This tutorial broke down the basic architecture of GFP-GAN, and demonstrated how to use GFP-GAN and its cousin package REAL-esrGAN to dramatically restore aged and damaged photos. While many people do photo restoration as a hobby, this may soon make such efforts much more sophisticated and less time consuming.
Photo Editing with Generative Adversarial Networks (Part 1)
Apr 20, 2017 · In this post I will explore various ways of using a GAN to create previously unseen images. I provide source code in Tensorflow and a modified version of DIGITS that you are free to use if you wish to try it out yourself. Figure 1 gives a preview of …
Content-Aware Local GAN for Photo-Realistic Super-Resolution
To solve the problem, we propose a novel content-aware local GAN framework, CAL-GAN, which processes a large and complicated distribution of real-world images by dividing them into smaller subsets based on similar contents. Our mixture of classifiers (MoC) design allocates different super-resolved patches to corresponding expert classifiers.
How To Use GAN To Generate Images | Generative Adversarial
Jun 20, 2022 · In this blog, we’ll break down the core elements of GAN architecture, including the generator and discriminator, and show you how these networks collaborate to generate images. We’ll also guide you through an example to help you understand how GANs work in practice.
GAN Photo Editing - Linji Wang
Apr 11, 2023 · In this project, we explore the applications of Generative Adversarial Networks (GANs) for photo editing tasks such as image reconstruction, interpolation, and synthesis.