Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
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Updated
Dec 31, 2024 - Python
Official PyTorch implementation for the paper High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions (ECCV 2022).
Dress Code: High-Resolution Multi-Category Virtual Try-On. ECCV 2022
The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN" CVPR 2020 (Oral); Pose and Appearance Attributes Transfer;
ComfyUI adaptation of IDM-VTON for virtual try-on.
Official implementation for "CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On", CVPRW 2020
Outfit Anyone in the Wild: Get rid of Annoying Restrictions for Virtual Try-on Task
使用深度学习算法实现虚拟试衣镜,结合了人体姿态估计、人体分割、几何匹配和GAN,四种模型。仅仅只依赖opencv库就能运行
👗 DM-VTON: Distilled Mobile Real-time Virtual Try-On
Official repository of "TryOffAnyone: Tiled Cloth Generation from a Dressed Person"
Virtual Try On site using HR-VITON. Anyone can try it using their own Image with clothes image.
Original implementation of the paper "VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss" by Shion Honda.
SAL-VTON node for ComfyUI - Dress up your models with almost any clothing!
"Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR 2020. (Modified from original with fixes for inference)
Official code for DOC-VTON. We provide visualization results of Awesome Virtual Tryon. Besides, we provide auxiliary data of VITON and VITON-HD for training and testing.
Official repository of "TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models".
This project utilizes the KlingAI API to provide a virtual try-on experience using images of people and garments.
A virtual accessory try-on dataset which could be used for image composition
Pytorch implementation of WUTON: a Warping U-net for a Virtual Try-On System.
The official pytorch implementation of LM-VTON : "Toward Realistic Virtual Try-on Through Landmark-guided Shape Matching"
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