Evolution of Mona Lisa with Pablo Picasso's paintings

M. Arshad, Muhammad Adil Raja, J. Akhtar, Shams ur Rahman
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引用次数: 1

Abstract

In recent years, design of artistic artifacts using machine learning (ML) techniques has become a major feat. Artificial creation of artistic artifacts involves the use of ML. Employment of ML has many benefits for artificial art. On one hand, it reduces the need for human dexterity required particularly for this niche. On the other hand, artificially created art can often lead to spectacular outcomes that are normally not possible by sole human effort. In this paper, we demonstrate our work about the recreation of Mona Lisa using an evolutionary algorithm (EA). The EA uses an image corpus of Pablo Picasso's work. To this end, the images form the design space for the problem at hand. By using these images the EA attempts to recreate Mona Lisa. The reported results show the miraculous and awe-inspiring accuracy of EAs.
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《蒙娜丽莎》与毕加索画作的演变
近年来,使用机器学习(ML)技术设计艺术品已成为一项重大成就。艺术品的人工创作涉及到机器学习的使用。机器学习的使用对人工艺术有很多好处。一方面,它减少了对人类灵巧性的需求,尤其是对这个利基的需求。另一方面,人工创造的艺术往往会带来壮观的结果,这通常是单靠人类的努力无法实现的。在本文中,我们展示了我们使用进化算法(EA)重建蒙娜丽莎的工作。EA使用了毕加索作品的图像语料库。为此,图像为手头的问题形成了设计空间。通过使用这些图像,EA试图重现蒙娜丽莎。报告的结果显示了ea的神奇和令人敬畏的准确性。
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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