Fashion is Taking Shape: Understanding Clothing Preference Based on Body Shape From Online Sources

07/09/2018
by   Hosnieh Sattar, et al.
0

To study the correlation between clothing garments and body shape, we collected a new dataset (Fashion Takes Shape), which includes images of users with clothing category annotations. We employ our multi-photo approach to estimate body shapes of each user and build a conditional model of clothing categories given body-shape. We demonstrate that in real-world data, clothing categories and body-shapes are correlated and show that our multi-photo approach leads to a better predictive model for clothing categories compared to models based on single-view shape estimates or manually annotated body types. We see our method as the first step towards the large-scale understanding of clothing preferences from body shape.

READ FULL TEXT

page 5

page 8

research
12/13/2019

Dressing for Diverse Body Shapes

Body shape plays an important role in determining what garments will bes...
research
08/17/2016

A Perceptual Aesthetics Measure for 3D Shapes

While the problem of image aesthetics has been well explored, the study ...
research
06/29/2018

Learning a Shared Shape Space for Multimodal Garment Design

Designing real and virtual garments is becoming extremely demanding with...
research
04/09/2019

3DPeople: Modeling the Geometry of Dressed Humans

Recent advances in 3D human shape estimation build upon parametric repre...
research
04/14/2021

Do Time Constraints Re-Prioritize Attention to Shapes During Visual Photo Inspection?

People's visual experiences of the world are easy to carve up and examin...
research
10/11/2022

Human Body Measurement Estimation with Adversarial Augmentation

We present a Body Measurement network (BMnet) for estimating 3D anthropo...
research
04/23/2021

A Gaussian Process Model of Cross-Category Dynamics in Brand Choice

Understanding individual customers' sensitivities to prices, promotions,...

Please sign up or login with your details

Forgot password? Click here to reset