A MNIST-like fashion product database. Benchmark 👇

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

CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and 3) Simplified Inference (< 8G VRAM for 1024X768 resolution).

This repo contains code and a pre-trained model for clothes segmentation.

FashionCLIP is a CLIP-like model fine-tuned for the fashion domain.

Outfit Anyone in the Wild: Get rid of Annoying Restrictions for Virtual Try-on Task

💐Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

Apparel detection using deep learning

Image search engine

Personalized Fashion Recommendation and Generation

SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts

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

A fashion Recommender system using deep learning Resnet50 and Nearest neighbour algorithm

TryOnGAN: Unofficial Implementation

Stable Fashion: A prompt based virtual try on repository

👗3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective👗 Single-View 3D Reconstruction

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

Using modanet fashion dataset, the clothes images were classified under 5 season (summer,winter,spring,autumn,all).

Extract attribute of clothes detected in image.

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