Virtual Try-on
Virtual try-on of clothing or other items such as glasses and makeup. Most recent techniques use Generative Adversarial Networks.
Leaderboards
Greatest papers with code
Video Based Reconstruction of 3D People Models
This paper describes how to obtain accurate 3D body models and texture of arbitrary people from a single, monocular video in which a person is moving.
VITON: An Image-based Virtual Try-on Network
CVPR 2018
• xthan/VITON
• 
We present an image-based VIirtual Try-On Network (VITON) without using 3D information in any form, which seamlessly transfers a desired clothing item onto the corresponding region of a person using a coarse-to-fine strategy.
Toward Characteristic-Preserving Image-based Virtual Try-On Network
ECCV 2018
• sergeywong/cp-vton
• 
Second, to alleviate boundary artifacts of warped clothes and make the results more realistic, we employ a Try-On Module that learns a composition mask to integrate the warped clothes and the rendered image to ensure smoothness.
SwapNet: Garment Transfer in Single View Images
ECCV 2018
• andrewjong/SwapNet
•
Garment transfer is a challenging task that requires (i) disentangling the features of the clothing from the body pose and shape and (ii) realistic synthesis of the garment texture on the new body.
Down to the Last Detail: Virtual Try-on with Detail Carving
• AIprogrammer/Down-to-the-Last-Detail-Virtual-Try-on-with-Detail-Carving
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However, existing methods can hardly preserve the details in clothing texture and facial identity (face, hair) while fitting novel clothes and poses onto a person.
Disentangled Makeup Transfer with Generative Adversarial Network
• Honlan/DMT
•
Facial makeup transfer is a widely-used technology that aims to transfer the makeup style from a reference face image to a non-makeup face.
VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss
Generating a virtual try-on image from in-shop clothing images and a model person's snapshot is a challenging task because the human body and clothes have high flexibility in their shapes.
Real-time deep hair matting on mobile devices
• jtiger958/hair-segmentation-pytorch
•
Augmented reality is an emerging technology in many application domains.
Detailed, accurate, human shape estimation from clothed 3D scan sequences
We address the problem of estimating human pose and body shape from 3D scans over time.
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images
High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of applications including human digitization, virtual try-on, etc.