Showing 1-9 of 9 projects
Official implementation of a controllable virtual try-on system using latent diffusion models.
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.
A curated collection of resources for digital human modeling, avatar generation, and virtual try-on.
A lightweight and efficient virtual try-on diffusion model for fashion applications.
A Python library for controllable garment-driven image synthesis, enabling virtual try-on and clothing generation.
An interactive tool for generating customizable human images with flexible garment, pose, and scene control for virtual dressing.
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Official PyTorch implementation of a state-of-the-art virtual try-on model for high-resolution clothing generation.
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