A brief overview of existing neural network solutions and services for photographers

Andrey Stepanov
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Abstract

This article focuses on neural networks and artificial intelligence systems used to enhance images. It attempted to analyse the maximum range of existing systems that can be used for photography. The aim of the article was to find as many systems and services used to enhance photos, restore details, remove noise and improve image quality, in order to understand how neural networks are becoming useful to a wide range of professionals - photographers, photo editors, bloggers, marketers, designers, photo restorers and some other specialists. This finding of 146 neural networks and AI-based systems is summed up in a table compiled by the author. There is also an analysis of a number of neural network-based solutions that allow photographers to improve their images.
面向摄影师的现有神经网络解决方案和服务概述
本文重点介绍用于增强图像效果的神经网络和人工智能系统。它试图分析可用于摄影的现有系统的最大范围。文章的目的是找到尽可能多的用于增强照片效果、还原细节、去除噪点和提高图像质量的系统和服务,以了解神经网络是如何对摄影师、照片编辑、博客、营销人员、设计师、照片修复师和其他一些专家等各类专业人士产生作用的。作者编制的表格总结了 146 种神经网络和人工智能系统的发现。此外,作者还对一些基于神经网络的解决方案进行了分析,这些解决方案可帮助摄影师改善图像质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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