A MNIST-like fashion product database. Benchmark 👉

A repository to curate and summarise research papers related to fashion and e-commerce

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

Personalized Fashion Recommendation and Generation

👗The Lolita Fashion Library 👒

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

A Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset

a wechat sdk for golang

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

web scraping tool for grailed.com

pytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)

A website to help you establish a wardrobe.

The Fashion-MNIST dataset and machine learning models.

An application to find similar pictures based on the VGG16 and kNN

Fashion item segmentation with deep learning

👗 The Hackathon App: Fifty Shades of Dress

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

color_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.

Challenge the customer to shop task with tripletNet

1st place solution (Team StylingAI Inc. & PKU AIIC) for CVPR 2020 DeepFashion2 Clothes Landmark Detection Track. Aggregation and Finetuning for Clothes Landmark Detection

Project written as part of my Master Thesis: Implementation and Evaluation of Synthesis Methods for Image Retrieval.

A prototyping project focusing on a generous interface for users interested in finding inspiration for their own clothes and accessories designs

ModaNet: A large-scale street fashion dataset with polygon annotations

dataset

Short project completed at Insight Data Science as part of a consulting project with an e-commerce fashion company. Uses neural networks to embed text and images into high-d feature space in order to perform classification, and new-cluster discovery. Also prototypes an idea for recommendations.