Corpus ID: 231750027

From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images

@article{Hsiao2021FromCT,
  title={From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images},
  author={Wei-Lin Hsiao and Kristen Grauman},
  journal={ArXiv},
  year={2021},
  volume={abs/2102.01690}
}
Fashion is intertwined with external cultural factors, but identifying these links remains a manual process limited to only the most salient phenomena. We propose a data-driven approach to identify specific cultural factors affecting the clothes people wear. Using large-scale datasets of news articles and vintage photos spanning a century, we introduce a multi-modal statistical model to detect influence relationships between happenings in the world and people's choice of clothing. Furthermore… Expand
Smart Fashion: A Review of AI Applications in the Fashion & Apparel Industry
TLDR
A structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving the visibility of studies simultaneously. Expand
fAshIon after fashion: A Report of AI in Fashion
TLDR
It is shown that many potential opportunities exist for the use of AI in fashion which can transform the fashion industry embedded with AI technologies and boost profits. Expand

References

SHOWING 1-10 OF 56 REFERENCES
From Paris to Berlin: Discovering Fashion Style Influences Around the World
  • Ziad Al-Halah, K. Grauman
  • Computer Science
  • 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2020
TLDR
An approach that detects which cities influence which other cities in terms of propagating their styles is introduced, using the discovered influence patterns to inform a forecasting model that predicts the popularity of any given style at any given city into the future. Expand
StreetStyle: Exploring world-wide clothing styles from millions of photos
TLDR
This paper introduces a large-scale dataset of photos of people annotated with clothing attributes, and uses this dataset to train attribute classifiers via deep learning, and presents a method for discovering visually consistent style clusters that capture useful visual correlations in this massive dataset. Expand
GeoStyle: Discovering Fashion Trends and Events
TLDR
This paper provides an automatic framework that analyzes large corpora of street imagery to discover and forecast long-term trends of various fashion attributes as well as automatically discovered styles, and identify spatio-temporally localized events that affect what people wear. Expand
Hipster Wars: Discovering Elements of Fashion Styles
TLDR
Questions related to what the authors' clothing reveals about their personal style are examined, including methods to identify clothing elements that are generally discriminative for a style, and methods for identifying items in a particular outfit that may indicate a style. Expand
Fashion Forward: Forecasting Visual Style in Fashion
TLDR
This work introduces the first approach to predict the future popularity of styles discovered from fashion images in an unsupervised manner, and trains a forecasting model to represent their trends over time. Expand
Learning Visual Clothing Style with Heterogeneous Dyadic Co-Occurrences
With the rapid proliferation of smart mobile devices, users now take millions of photos every day. These include large numbers of clothing and accessory images. We would like to answer questions likeExpand
Neuroaesthetics in fashion: Modeling the perception of fashionability
TLDR
A Conditional Random Field model is proposed that jointly reasons about several fashionability factors such as thetype of outfit and garments the user is wearing, the type of the user, the photograph's setting, and the fashionability score, and is able to give rich feedback back to the user. Expand
Runway to Realway: Visual Analysis of Fashion
TLDR
This paper's 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. Expand
ModaNet: A Large-scale Street Fashion Dataset with Polygon Annotations
TLDR
A new database called ModaNet, a large-scale collection of images based on Paperdoll dataset, which allows to measure the performance of state-of-the-art algorithms for object detection, semantic segmentation and polygon prediction on street fashion images in detail. Expand
A Century of Portraits: A Visual Historical Record of American High School Yearbooks
TLDR
A dataset of 37,921 frontal-facing American high school yearbook photos is presented that allows us to use computation to glimpse into the historical visual record too voluminous to be evaluated manually and may be used together with weakly-supervised data-driven techniques to perform scalable historical analysis of large image corpora with minimal human effort. Expand
...
1
2
3
4
5
...