Virtual Try-on

38 papers with code • 3 benchmarks • 6 datasets

Virtual try-on of clothing or other items such as glasses and makeup. Most recent techniques use Generative Adversarial Networks.

Most implemented papers

VITON: An Image-based Virtual Try-on Network

xthan/VITON CVPR 2018

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

sergeywong/cp-vton ECCV 2018

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.

VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss

shionhonda/viton-gan 12 Nov 2019

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 19 Dec 2017

Augmented reality is an emerging technology in many application domains.

Down to the Last Detail: Virtual Try-on with Detail Carving

JDAI-CV/Down-to-the-Last-Detail-Virtual-Try-on-with-Detail-Carving 13 Dec 2019

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.

Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content

switchablenorms/DeepFashion_Try_On 12 Mar 2020

First, a semantic layout generation module utilizes semantic segmentation of the reference image to progressively predict the desired semantic layout after try-on.

Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images

ZhengZerong/DeepHuman ECCV 2020

High-fidelity clothing reconstruction is the key to achieving photorealism in a wide range of applications including human digitization, virtual try-on, etc.

Video Based Reconstruction of 3D People Models

thmoa/videoavatars CVPR 2018

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.

SwapNet: Garment Transfer in Single View Images

andrewjong/SwapNet ECCV 2018

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.