DFDNet: An Introduction to Deep Face Dictionary Network for Face Restoration
DFDNet is a powerful and advanced technology that can restore degraded images of people's faces. It is a deep face dictionary network with amazing features that can help in rebuilding images that have been destroyed or damaged over time. This technology makes use of several algorithms that identify dictionaries that have similar structures to the damaged image, re-normalizes the whole dictionaries using component AdaIN
GFP-GAN: An Overview
GFP-GAN is a computer program that can restore faces that have been degraded or are difficult to see. It is a type of artificial intelligence called a "generative adversarial network" or "GAN".
What is a Generative Adversarial Network?
A generative adversarial network, or GAN, is a type of artificial intelligence program that consists of two parts:
1. A generator, which creates new images or data
2. A discriminator, which evaluates whether those images or data are rea
Introduction to Implicit Subspace Prior Learning (ISPL)
Interested in dual-blind face restoration? Look no further than Implicit Subspace Prior Learning (ISPL). This new framework distinguishes itself from previous restoration methods by avoiding solving the pathological inverse problem directly, and dynamically handling input of varying degradation levels consistently producing high-quality restoration results.
What is ISPL?
ISPL stands for Implicit Subspace Prior Learning, an innovative ap
PSFR-GAN: Semantic-Aware Style Transformation Framework for Face Restoration
PSFR-GAN is an advanced technology used in face restoration for improving the quality of low-quality face images. The system is designed to restore facial features by using semantic-aware style transfer. This semantic-aware system utilizes a parser to analyze the facial components and restore the lost features efficiently. This framework is a state-of-the-art solution to generate high-resolution images from low-quality
WIPA: A Technique for Super-Resolution of Very Low-Resolution Face Images Have you ever tried to zoom in on a picture only to have it become pixelated and blurry? That's because the image resolution is too low to support the increased size. Super-resolution techniques aim to improve the resolution of low-resolution images while maintaining the quality and identity of the original image. One such technique is Wavelet-integrated, Identity Preserving, Adversarial network or WIPA. In this article, w