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这张ai修复的老照片再现历史风貌,这段影像由加拿大摄影师拍摄而成,给它重新上色修复的是中国一位年轻的独立游戏开发者大谷。原本色彩单调、轮廓模糊的人影,变得面目清晰、动作流畅,再加上后期逼真的音效,生动再现了当时的历史风貌。
在AI技能并未大规模遍及之前,图片修正一直是一项比较考验专业性的技能。在人们的印象中,图片修正需要依靠PS、AE等专业图像处理软件才能完成。
可是随着AI技能的快速开展,这类技能的门槛越来越低
一是黑白相片上色。
该部分的AI修正图画技能,大多是经过深度神经网络学习技能完成的,利用深度神经网络学习不同语义内容在不同灰度下对应的色彩信息分布,完成对老相片的内容进行主动、天然的色彩修正。
通俗的讲,便是先经过对黑白或褪色相片进行图画切割,让AI学习区分其中的标志性物体:人脸、衣服、天空、建筑物等等。
经过用很多包含常见场景和人物的图片进行练习后,AI会主动学习和记忆这些关键元素的色彩,因而,它能够做到给黑白相片里的人物场景上色。
二是做到进步含糊图画的分辨率
AI进步图画分辨率的办法也是如此,首要,研究者们需求先给算法供给大量的低分辨率图画,然后再输入这些图画的高分辨率原始相片,让算法从二者的比较中习得差异和增加分辨率的技巧后,就能做到不需求原始相片也能精确提升图画分辨率了。腾讯优图实验室推出的“修正老相片”功能,也是借助了AI的才能。