no code implementations • 28 Apr 2021 • Pengpeng Hu, Edmond S. L Ho, Adrian Munteanu
As easy-to-use as taking a photo using a mobile phone, our algorithm only needs two depth images of the front-facing and back-facing bodies.
no code implementations • 15 Mar 2021 • Pengpeng Hu, Adrian Munteanu
In this letter, to the best of knowledge, the first method for the registration of 3D shapes without overlap, assuming that the shapes correspond to partial views of a known semi-rigid 3D prior is presented.
no code implementations • 20 Jan 2021 • Remco Royen, Leon Denis, Quentin Bolsee, Pengpeng Hu, Adrian Munteanu
To the best of our knowledge, this is the first work presenting a generic solution able to achieve quality scalable results within the deep learning framework.
no code implementations • 13 Aug 2020 • Pengpeng Hu, Nastaran Nourbakhsh Kaashki, Vasile Dadarlat, Adrian Munteanu
In this paper, we propose the first learning-based approach to estimate the human body shape under clothing from a single dressed-human scan, dubbed Body PointNet.
no code implementations • 30 Apr 2020 • Boris Joukovsky, Pengpeng Hu, Adrian Munteanu
In this Letter, the authors propose a deep learning based method to perform semantic segmentation of clothes from RGB-D images of people.
no code implementations • 24 Mar 2020 • Pengpeng Hu, Nastaran Nourbakhsh, Jing Tian, Stephan Sturges, Vasile Dadarlat, Adrian Munteanu
In this paper, we present the first general method for virtual try-ons that is fully automatic and suitable for many items including garments, hair, shoes, watches, necklaces, hats, and so on.
no code implementations • 13 Dec 2019 • Pengpeng Hu, Edmond SL Ho, Nauman Aslam, Taku Komura, Hubert PH Shum
However, the virtual clothing fit evaluation is still under-researched.
no code implementations • 19 Dec 2018 • Duan Li, Yueqi Zhong, Ge Wu, Pengpeng Hu
The patches of the three-dimensional garment were automatically positioned around the human model by setting up the correspondence via feature matching.
no code implementations • 16 Apr 2018 • Pengpeng Hu, Duan Li, Ge Wu, Taku Komura, Dongliang Zhang, Yueqi Zhong
A personalized mannequin is essential for apparel customization using CAD technologies.
no code implementations • 17 Dec 2017 • Ge Wu, Duan Li, Pengpeng Hu, Yueqi Zhong, Ning Pan
In this paper, a new method was proposed to establish the relationship between three-dimensional (3D) foot shapes and their two-dimensional (2D) foot silhouettes, through which a complete 3D foot shape can be predicted by simply inputting its two 2D silhouettes.
no code implementations • 6 Nov 2017 • Pengpeng Hu, Taku Komura, Duan Li, Ge Wu, Yueqi Zhong
Purpose The purpose of this paper is to present a novel framework of reconstructing the 3D textile model with synthesized texture.
no code implementations • 5 Jun 2017 • Ge Wu, Duan Li, Yueqi Zhong, Pengpeng Hu
Purpose The calibration is a key but cumbersome process for 3D body scanning using multiple depth cameras.
no code implementations • 9 May 2017 • Pengpeng Hu, Taku Komura, Daniel Holden, Yueqi Zhong
In this paper, we propose a novel scanning-based solution for modeling and animating characters wearing multiple layers of clothes.
no code implementations • 25 Nov 2016 • Ge Wu, Duan Li, Pengpeng Hu, Yueqi Zhong, Ning Pan
In this paper, a system with six depth cameras was built to scan both feet simultaneously.
no code implementations • 4 Jun 2016 • Yueqi Zhong, Duan Li, Ge Wu, Pengpeng Hu
The purpose of this paper is to propose a new method of body measurement based on the loop structure.
no code implementations • 1 Dec 2015 • Pengpeng Hu, Yueqi Zhong, Ge Wu, Duan Li
In this paper, we propose a universal registration method for the body scanner consists of multiple fixed sensors.