Showing 1-16 of 16 projects
Ultra-high quality virtual try-on for any clothing and any person, powered by AI and computer vision.
A diffusion model for improving virtual try-on of clothes in the wild, focused on vibe coders using AI tools.
The DeepFashion2 dataset provides clothing images and annotations for fashion-related computer vision tasks.
A sample full-stack application built with Node, React, React Native, and GraphQL for a subscription-based clothing service.
A curated collection of resources for digital human modeling, avatar generation, and virtual try-on.
This repository contains code for a high-resolution clothed human digitization paper, with potential applications in fashion, VR/AR, and computer graphics.
A Python package that provides advanced image background removal and object/face/clothes segmentation using multiple AI models.
A Python library for physics-based simulations involving cloth, solids, and rods, useful for vibe coders building AI-powered applications.
A Python library for controllable garment-driven image synthesis, enabling virtual try-on and clothing generation.
A tearable cloth simulation using vertlet integration.
An open-source toolbox for visual fashion analysis based on PyTorch, focused on tasks like attribute prediction and clothes retrieval.
A high-performance GPU-powered library for fluid simulation, softbody dynamics, and other visual effects in Java/Processing.
A 3D reconstruction library for creating realistic virtual humans with AI-powered normal integration.
A Unity bone cloth spring system library that uses jobs for efficient performance.
Official PyTorch implementation of a state-of-the-art virtual try-on model for high-resolution clothing generation.
A React Native UI library for building a clothes shopping app
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