What's in a Decade? Transforming Faces Through Time
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Date
2023
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
How can one visually characterize photographs of people over time? In this work, we describe the Faces Through Time dataset, which contains over a thousand portrait images per decade from the 1880s to the present day. Using our new dataset, we devise a framework for resynthesizing portrait images across time, imagining how a portrait taken during a particular decade might have looked like had it been taken in other decades. Our framework optimizes a family of per-decade generators that reveal subtle changes that differentiate decades-such as different hairstyles or makeup-while maintaining the identity of the input portrait. Experiments show that our method can more effectively resynthesizing portraits across time compared to state-of-theart image-to-image translation methods, as well as attribute-based and language-guided portrait editing models. Our code and data will be available at facesthroughtime.github.io.
Description
CCS Concepts: Computing methodologies -> Image manipulation; Computer graphics; Computer vision
@article{10.1111:cgf.14761,
journal = {Computer Graphics Forum},
title = {{What's in a Decade? Transforming Faces Through Time}},
author = {Chen, Eric Ming and Sun, Jin and Khandelwal, Apoorv and Lischinski, Dani and Snavely, Noah and Averbuch-Elor, Hadar},
year = {2023},
publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.14761}
}