Runway to Realway: Visual Analysis of Fashion
Abstract
Clothing and fashion are an integral part of our everyday lives. In this paper we present an approach to studying fashion both on the runway and in more real-world settings, computationally, and at large scale, using computer vision. Our contributions include collecting a new runway dataset, designing features suitable for capturing outfit appearance, collecting human judgments of outfit similarity, and learning similarity functions on the features to mimic those judgments. We provide both intrinsic and extrinsic evaluations of our learned models to assess performance on outfit similarity prediction as well as season, year, and brand estimation. An example application tracks visual trends as runway fashions filter down to "real way" street fashions.
Cite
Text
Vittayakorn et al. "Runway to Realway: Visual Analysis of Fashion." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015. doi:10.1109/WACV.2015.131Markdown
[Vittayakorn et al. "Runway to Realway: Visual Analysis of Fashion." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015.](https://mlanthology.org/wacv/2015/vittayakorn2015wacv-runway/) doi:10.1109/WACV.2015.131BibTeX
@inproceedings{vittayakorn2015wacv-runway,
title = {{Runway to Realway: Visual Analysis of Fashion}},
author = {Vittayakorn, Sirion and Yamaguchi, Kota and Berg, Alexander C. and Berg, Tamara L.},
booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
year = {2015},
pages = {951-958},
doi = {10.1109/WACV.2015.131},
url = {https://mlanthology.org/wacv/2015/vittayakorn2015wacv-runway/}
}