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Related papers: Cloth Interactive Transformer for Virtual Try-On

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Video-based 3D human pose and shape estimations are evaluated by intra-frame accuracy and inter-frame smoothness. Although these two metrics are responsible for different ranges of temporal consistency, existing state-of-the-art methods…

Computer Vision and Pattern Recognition · Computer Science 2023-03-28 Xiaolong Shen , Zongxin Yang , Xiaohan Wang , Jianxin Ma , Chang Zhou , Yi Yang

Image-based virtual try-on is one of the most promising applications of human-centric image generation due to its tremendous real-world potential. In this work, we take a step forwards to explore versatile virtual try-on solutions, which we…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Zhenyu Xie , Zaiyu Huang , Fuwei Zhao , Haoye Dong , Michael Kampffmeyer , Xin Dong , Feida Zhu , Xiaodan Liang

Long-Term Person Re-Identification (LT-ReID) has become increasingly crucial in computer vision and biometrics. In this work, we aim to extend LT-ReID beyond pedestrian recognition to include a wider range of real-world human activities…

Computer Vision and Pattern Recognition · Computer Science 2023-09-22 Feng Liu , Minchul Kim , ZiAng Gu , Anil Jain , Xiaoming Liu

Human Interaction Recognition is the process of identifying interactive actions between multiple participants in a specific situation. The aim is to recognise the action interactions between multiple entities and their meaning. Many single…

Computer Vision and Pattern Recognition · Computer Science 2024-01-02 Ruoqi Yin , Jianqin Yin

Computerized adaptive tests (CATs) play a crucial role in educational assessment and diagnostic screening in behavioral health. Unlike traditional linear tests that administer a fixed set of pre-assembled items, CATs adaptively tailor the…

Methodology · Statistics 2026-05-11 Jiguang Li , Robert Gibbons , Veronika Rockova

Existing data-driven methods for draping garments over human bodies, despite being effective, cannot handle garments of arbitrary topology and are typically not end-to-end differentiable. To address these limitations, we propose an…

Computer Vision and Pattern Recognition · Computer Science 2022-09-27 Ren Li , Benoît Guillard , Edoardo Remelli , Pascal Fua

With the aim of creating virtual cloth deformations more similar to real world clothing, we propose a new computational framework that recasts three dimensional cloth deformation as an RGB image in a two dimensional pattern space. Then a…

Computer Vision and Pattern Recognition · Computer Science 2018-12-06 Ning Jin , Yilin Zhu , Zhenglin Geng , Ronald Fedkiw

This paper presents I-nteract, a cyber-physical system that enables real-time interaction with real and virtual objects in a mixed augmented reality environment to design 3D models for additive manufacturing. The system has been developed…

Human-Computer Interaction · Computer Science 2020-02-18 Ammar Malik , Hugo Lhachemi , Robert Shorten

In this paper, we describe various technologies that are being used in virtual garment fitting and simulation. There, we have focused about the usage of anthropometry in clothing industry and avatar generation of virtual garment fitting.…

Human-Computer Interaction · Computer Science 2022-04-05 Hashini Gunatilake , Dulaji Hidellaarachchi , Sandra Perera , Damitha Sandaruwan , Maheshya Weerasinghe

A central vision of the Internet of Things is the representation of the physical world in a consistent virtual environment. Especially in the context of smart factories the connection of the different, heterogeneous production modules…

Software Engineering · Computer Science 2019-03-06 Sebastian R. Bader , Maria Maleshkova

Computerized Adaptive Testing (CAT) is a widely used, efficient test mode that adapts to the examinee's proficiency level in the test domain. CAT requires pre-trained item profiles, for CAT iteratively assesses the student real-time based…

Machine Learning · Computer Science 2025-03-12 Soonwoo Kwon , Sojung Kim , Seunghyun Lee , Jin-Young Kim , Suyeong An , Kyuseok Kim

We present ClothesNet: a large-scale dataset of 3D clothes objects with information-rich annotations. Our dataset consists of around 4400 models covering 11 categories annotated with clothes features, boundary lines, and keypoints.…

The goal of person search is to localize a target person from a gallery set of scene images, which is extremely challenging due to large scale variations, pose/viewpoint changes, and occlusions. In this paper, we propose the Cascade…

Computer Vision and Pattern Recognition · Computer Science 2022-03-21 Rui Yu , Dawei Du , Rodney LaLonde , Daniel Davila , Christopher Funk , Anthony Hoogs , Brian Clipp

Optical sensing technologies are emerging technologies used in cancer surgeries to ensure the complete removal of cancerous tissue. While point-wise assessment has many potential applications, incorporating automated large area scanning…

Robotics · Computer Science 2024-11-07 Bochen Yang , Kaizhong Deng , Christopher J Peters , George Mylonas , Daniel S. Elson

Online shopping has revolutionized the retail industry, providing customers with convenience and accessibility. However, customers often hesitate to purchase wearable products such as watches, jewelry, glasses, shoes, and clothes due to the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Tulashi Prasad Joshi , Amrendra Kumar Yadav , Arjun Chhetri , Suraj Agrahari , Umesh Kanta Ghimire

Traditional approaches for complementary product recommendations rely on behavioral and non-visual data such as customer co-views or co-buys. However, certain domains such as fashion are primarily visual. We propose a framework that…

Computer Vision and Pattern Recognition · Computer Science 2018-09-11 Cong Phuoc Huynh , Arridhana Ciptadi , Ambrish Tyagi , Amit Agrawal

Reconstruction of human clothing is an important task and often relies on intrinsic image decomposition. With a lack of domain-specific data and coarse evaluation metrics, existing models failed to produce satisfying results for graphics…

Computer Vision and Pattern Recognition · Computer Science 2021-11-17 Kuo Jiang , Zian Wang , Xiaodong Yang

Virtual Try-ON (VTON) is a practical and widely-applied task, for which most of existing works focus on clothes. This paper presents OmniTry, a unified framework that extends VTON beyond garment to encompass any wearable objects, e.g.,…

Computer Vision and Pattern Recognition · Computer Science 2025-08-20 Yutong Feng , Linlin Zhang , Hengyuan Cao , Yiming Chen , Xiaoduan Feng , Jian Cao , Yuxiong Wu , Bin Wang

The paper aims to address the lack of photorealistic virtual try-on models for accessories such as jewelry and watches, which are particularly relevant for online retail applications. While existing virtual try-on models focus primarily on…

Computer Vision and Pattern Recognition · Computer Science 2024-09-24 Ting-Yu Chang , Seretsi Khabane Lekena

We present a novel approach for robust manipulation of high-DOF deformable objects such as cloth. Our approach uses a random forest-based controller that maps the observed visual features of the cloth to an optimal control action of the…

Robotics · Computer Science 2019-01-18 Biao Jia , Zherong Pan , Zhe Hu , Jia Pan , Dinesh Manocha
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