Topic: fashion Goto Github
Some thing interesting about fashion
Some thing interesting about fashion
fashion,Apparel detection using deep learning
User: abhishekrana
fashion,A repository to curate and summarise research papers related to fashion and e-commerce
User: ayushidalmia
fashion,A Mask R-CNN Keras implementation with Modanet annotations on the Paperdoll dataset
User: cad0p
fashion,Fashion inspiration and shopping app helping you wear that's in style. Made with Typescript & React Native.
User: chr-ge
fashion,Build a stunning Fashion Studio Website Landing page with React JS. This website is created using locomotive-scroll for smooth scrolling. Also, GSAP and Framer-Motion for some custom animations and effects. You can learn to make this website by visiting the tutorial link from the description.
User: codebucks27
Home Page: https://wibe-studio.netlify.app/
fashion,Build a stunning Fashion Studio Website Landing page with React JS. This website is created using locomotive-scroll for smooth scrolling. Also, GSAP and Framer-Motion for some custom animations and effects. You can learn to make this website by visiting the tutorial link from the description.
User: codebucks27
Home Page: https://wibe-studio.netlify.app/
fashion,(ICCV'21) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing" by Aiyu Cui, Daniel McKee and Svetlana Lazebnik
User: cuiaiyu
Home Page: https://cuiaiyu.github.io/dressing-in-order
fashion,Image search engine
User: cvxtz
fashion,Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)
User: gcucurull
fashion,The largest multilingual image-text classification dataset. It contains fashion products.
Organization: glami
fashion,pytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)
User: i008
fashion,web scraping tool for grailed.com
User: imsteev
fashion,โ Managing a Fashion designer's daily routine.
User: jogboms
fashion,Personalized Fashion Recommendation and Generation
User: kang205
fashion,:dress:3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective:dress: Single-View 3D Reconstruction
User: layumi
Home Page: https://arxiv.org/abs/2204.13096
fashion,This repo contains code and a pre-trained model for clothes segmentation.
User: levindabhi
fashion,๐The Lolita Fashion Library ๐
Organization: lolibrary
Home Page: https://lolibrary.org
fashion,๐๐๐ถ๏ธ๐ฉ Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)
User: lzhbrian
fashion,1st place solution (Team StylingAI Inc. & PKU AIIC) for CVPR 2020 DeepFashion2 Clothes Landmark Detection Track. Aggregation and Finetuning for Clothes Landmark Detection
User: lzhbrian
Home Page: https://arxiv.org/abs/2005.00419
fashion,๐Kaleido-BERT: Vision-Language Pre-training on Fashion Domain
User: mczhuge
fashion,A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
User: minar09
fashion,FCN, U-Net models implementation in TensorFlow for fashion clothing parsing
User: minar09
fashion,Color extraction from clothing items
User: morawi
fashion,Calculate your carbon footprint ๐ญ๐ฃ from food, transport, purchases, fashion, electricity and digital activities like streaming, NFT or blockchain.
Organization: nmf-earth
Home Page: https://nmf.earth
fashion,Extract attribute of clothes detected in image.
User: normalclone
fashion,TryOnGAN: Unofficial Implementation
Organization: ofnote
fashion,Stable Fashion: A prompt based virtual try on repository
User: ovshake
fashion,Implementation of "Outfit Transformer:Outfit Representations for Fashion Recommendation"
User: owj0421
fashion,FashionCLIP is a CLIP-like model fine-tuned for the fashion domain.
User: patrickjohncyh
fashion,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.
User: pongsate1
Home Page: http://vision.is.tohoku.ac.jp/clothing_parsing
fashion,A tensorflow model for segmentation of fashion items out of multiple product images
User: pubkey
fashion,React ecommerce website
Organization: quintuslabs
fashion,Outfit Anyone in the Wild: Get rid of Annoying Restrictions for Virtual Try-on Task
User: selfitcamera
fashion,This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"
User: shunsukesaito
Home Page: https://shunsukesaito.github.io/PIFu/
fashion,A custom website for online fashion.
User: singh-shivani
Home Page: https://singh-shivani.github.io/Merlin-Fashion/
fashion,A fashion Recommender system using deep learning Resnet50 and Nearest neighbour algorithm
User: sonu275981
fashion,Project written as part of my Master Thesis: Implementation and Evaluation of Synthesis Methods for Image Retrieval.
User: sonynka
fashion,SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts
Organization: st-tech
fashion,Official implementation of SGDiff (ACM MM '23)
User: taited
Home Page: https://taited.github.io/sgdiff-project
fashion,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.
User: taniareyesm
fashion,๐งข๐ถ๏ธ๐ฅผ๐๐๐งณ A curated list of cool resources about GenAI-Fashion, including ๐papers, ๐workshops, ๐companies & products, ...
User: wendashi
fashion,React ecommerce website
User: whaha-ha
Home Page: https://quintuslabs.github.io/fashion-cube/
fashion,A MNIST-like fashion product database. Benchmark :point_down:
Organization: zalandoresearch
Home Page: http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/
fashion,Using modanet fashion dataset, the clothes images were classified under 5 season (summer,winter,spring,autumn,all).
User: zekeriyyaa
fashion,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).
User: zheng-chong
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