Outfit Anyone in the Wild: Get rid of Annoying Restrictions for Virtual Try-on Task
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Updated
May 25, 2024 - Python
Outfit Anyone in the Wild: Get rid of Annoying Restrictions for Virtual Try-on Task
WANNA SDK empowers iOS applications with the Augmented Reality (AR) Try-On capabilities for shoes and watches. Once integrated, the AR Try-On feature allows app users to try sneakers or watches in real-time with their smartphones by pointing a mobile camera at their feet or wrist.
ComfyUI adaptation of IDM-VTON for virtual try-on.
An e-commerce website that has a set of clothes to do try-on using test dataset, and also provides the user to do try-on given they personal and cloth images.
Webstore built to showcase photorealistic 3D digital objects in AR
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
👗 DM-VTON: Distilled Mobile Real-time Virtual Try-On
A collection of resources on digital human including clothed people digitalization, virtual try-on, and other related directions.
A ComfyUI workflow to dress your virtual influencer with real clothes. Made with 💚 by the CozyMantis squad.
🧢🕶️🥼👖👟🧳 A curated list of cool resources about GenAI-Fashion, including 📝papers, 👀workshops, 🚀companies & products, ...
SAL-VTON node for ComfyUI - Dress up your models with almost any clothing!
Generative virtual try on (VTON), try-on images of characters can be generated by text prompt.
A virtual accessory try-on dataset which could be used for image composition
Official implementation for "CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On", CVPRW 2020
StreetTryOn: A Benchmark for In-the-Wild Virtual Try-On and Cross-Domain Virtual Try-On
"Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR 2020. (Modified from original with fixes for inference)
Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
(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
This repository contains the initial implementation of pre-processing for the VITON dataset, which is the most commonly utilized dataset for virtual try-on tasks.
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