{"id":71389,"date":"2017-07-30T12:22:17","date_gmt":"2017-07-30T19:22:17","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2017\/07\/deep-neural-networks-now-let-anyone-do-high-quality-image-colorization"},"modified":"2017-07-30T12:22:17","modified_gmt":"2017-07-30T19:22:17","slug":"deep-neural-networks-now-let-anyone-do-high-quality-image-colorization","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2017\/07\/deep-neural-networks-now-let-anyone-do-high-quality-image-colorization","title":{"rendered":"Deep Neural Networks Now Let Anyone Do High Quality Image Colorization"},"content":{"rendered":"<p><\/p>\n<p><iframe style=\"display: block; margin: 0 auto; width: 100%; aspect-ratio: 4\/3; object-fit: contain;\" src=\"https:\/\/www.youtube.com\/embed\/eL5ilZgM89Q?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; encrypted-media; gyroscope;\n   picture-in-picture\" allowfullscreen><\/iframe><\/p>\n<p>The process of manually colorizing an image is usually cumbersome, time consuming and requires significant skill, which makes it a prime target for automation. Researchers at UC Berkeley led by Alexei A. Efros, Professor of Electrical Engineering and Computer Sciences, have <a href=\"https:\/\/richzhang.github.io\/ideepcolor\/\">released a paper<\/a> that outlines a new method for using deep neural networks to help aid in the colorization of images.<\/p>\n<p>Aided by these deep neural networks almost anyone, even those completely lacking any artistic ability, can easily create convincing colorized images.<\/p>\n<p>The group\u2019s paper, entitled \u201cReal-Time User Guided Colorization with Learned Deep Priors,\u201d will be presented at SIGGRAPH 2017, a conference which highlights computer graphics research.<\/p>\n<p><!-- Link: <a href=\"https:\/\/www.singularityarchive.com\/deep-neural-networks-let-anyone-high-quality-image-colorization\/\">https:\/\/www.singularityarchive.com\/deep-neural-networks-let-...orization\/<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The process of manually colorizing an image is usually cumbersome, time consuming and requires significant skill, which makes it a prime target for automation. Researchers at UC Berkeley led by Alexei A. Efros, Professor of Electrical Engineering and Computer Sciences, have released a paper that outlines a new method for using deep neural networks to [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-71389","post","type-post","status-publish","format-standard","hentry","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/71389","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=71389"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/71389\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=71389"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=71389"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=71389"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}