Archives for super-resolution

23 Mar

A guide to different image reconstruction techniques for beginners

In this article, we will go through an overview of each of the popular image reconstruction techniques and will understand how these techniques work.

06 Feb

How to restore the blurred image using Real-ESRGAN?

Vijaysinh Lendave AI

Real-ESRGAN is an extension of the powerful ESRGAN that synthesizes training pairs with a more practical degradation mechanism to recover general real-world low-resolution pictures. Real-ESRGAN is able to repair most real-world photos and produce superior visual performance than prior works

10 Jul

Guide To Image Super-Resolution By ESRGAN

Vijaysinh Lendave deep convolutional GAN

Single image super-resolution has fundamental low-level vision problems. The SISR aims to recover...

The post Guide To Image Super-Resolution By ESRGAN appeared first on Analytics India Magazine.

25 May

Getting Started With Image Generation Using TensorFlow Keras

Rajkumar Lakshmanamoorthy autoencoders

Image Generation is one of the most curious applications in Computer Vision. Variational Autoencoders and GANs are the preferred base models

The post Getting Started With Image Generation Using TensorFlow Keras appeared first on Analytics India Magazine.

01 Apr

What is ClassSR and how it helps in Super-Resolution Networks?

Rajkumar Lakshmanamoorthy cnn

ClassSR efficiently utilizes the available computational resources to decompose original image, super-resolve and restore it in SR networks.

The post What is ClassSR and how it helps in Super-Resolution Networks? appeared first on Analytics India Magazine.

19 Mar

Hands-On Guide to Pixel2Style2Pixel: Image-to-Image Translation

Aditya Singh Developers Corner

Pixel2Style2Pixel (pSp) is an image translation framework that builds upon the representative power of a pre-trained StyleGAN generator and the W+ latent space.

The post Hands-On Guide to Pixel2Style2Pixel: Image-to-Image Translation appeared first on Analytics India Magazine.