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.
Benchmarks
These leaderboards are used to track progress in Virtual Try-on
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DeepFashion
VITON
Deep Fashion3D
Most implemented papers
VITON: An Image-based Virtual Try-on Network
xthan/VITON
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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
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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
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
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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
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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.
Towards Photo-Realistic Virtual Try-On by Adaptively Generating$\leftrightarrow$Preserving Image Content
switchablenorms/DeepFashion_Try_On
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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
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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.
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.
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.
SwapNet: Garment Transfer in Single View Images
andrewjong/SwapNet
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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.
