计算机科学
集合(抽象数据类型)
面子(社会学概念)
纵向
风格(视觉艺术)
图像(数学)
人工智能
计算机图形学(图像)
计算机视觉
互联网
情报检索
万维网
视觉艺术
艺术
社会学
程序设计语言
社会科学
作者
Ira Kemelmacher-Shlizerman
标识
DOI:10.1145/2897824.2925871
摘要
People may look dramatically different by changing their hair color, hair style, when they grow older, in a different era style, or a different country or occupation. Some of those may transfigure appearance and inspire creative changes, some not, but how would we know without physically trying? We present a system that enables automatic synthesis of limitless numbers of appearances. A user inputs one or more photos (as many as they like) of his or her face, text queries an appearance of interest (just like they'd search an image search engine) and gets as output the input person in the queried appearance. Rather than fixing the number of queries or a dataset our system utilizes all the relevant and searchable images on the Internet, estimates a doppelgänger set for the inputs, and utilizes it to generate composites. We present a large number of examples on photos taken with completely unconstrained imaging conditions.
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