Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders

by   James-Andrew Sarmiento, et al.

The rise of deep learning applications in the fashion industry has fueled advances in curating large-scale datasets to build applications for product design, image retrieval, and recommender systems. In this paper, the author proposes using Variational Autoencoder (VAE) to build an interactive fashion product application framework that allows the users to generate products with attributes according to their liking, retrieve similar styles for the same product category, and receive content-based recommendations from other categories. Fashion product images dataset containing eyewear, footwear, and bags are appropriate to illustrate that this pipeline is applicable in the booming industry of e-commerce enabling direct user interaction in specifying desired products paired with new methods for data matching, and recommendation systems by using VAE and exploiting its generated latent codes.



page 5

page 6


Personalizing Similar Product Recommendations in Fashion E-commerce

In fashion e-commerce platforms, product discovery is one of the key com...

Visual Fashion-Product Search at SK Planet

We build a large-scale visual search system which finds similar product ...

Technologies for AI-Driven Fashion Social Networking Service with E-Commerce

The rapid growth of the online fashion market brought demands for innova...

Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval

The Vector Quantized-Variational Autoencoder (VQ-VAE) provides an unsupe...

SIR: Similar Image Retrieval for Product Search in E-Commerce

We present a similar image retrieval (SIR) platform that is used to quic...

Where to Look and How to Describe: Fashion Image Retrieval with an Attentional Heterogeneous Bilinear Network

Fashion products typically feature in compositions of a variety of style...

Dress like a Star: Retrieving Fashion Products from Videos

This work proposes a system for retrieving clothing and fashion products...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.