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Related papers: A Comparative Study of Garment Draping Techniques

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Amidst the rapid growth of fashion e-commerce, remote fitting of fashion articles remains a complex and challenging problem and a main driver of customers' frustration. Despite the recent advances in 3D virtual try-on solutions, such…

Computer Vision and Pattern Recognition · Computer Science 2022-06-24 Sonia Pecenakova , Nour Karessli , Reza Shirvany

Virtual telepresence is the future of online communication. Clothing is an essential part of a person's identity and self-expression. Yet, ground truth data of registered clothes is currently unavailable in the required resolution and…

Computer Vision and Pattern Recognition · Computer Science 2022-06-08 Oshri Halimi , Fabian Prada , Tuur Stuyck , Donglai Xiang , Timur Bagautdinov , He Wen , Ron Kimmel , Takaaki Shiratori , Chenglei Wu , Yaser Sheikh

Virtual garment simulation has become increasingly important with applications in garment design and virtual try-on. However, reproducing garments faithfully remains a cumbersome process. We propose an end-to-end method for estimating…

Graphics · Computer Science 2024-01-30 Joy Xiaoji Zhang , Gene Wei-Chin Lin , Lukas Bode , Hsiao-yu Chen , Tuur Stuyck , Egor Larionov

Robotic manipulation of cloth is a challenging task due to the high dimensionality of the configuration space and the complexity of dynamics affected by various material properties. The effect of complex dynamics is even more pronounced in…

Robotics · Computer Science 2023-02-09 Julius Hietala , David Blanco-Mulero , Gokhan Alcan , Ville Kyrki

Manipulating garments and fabrics has long been a critical endeavor in the development of home-assistant robots. However, due to complex dynamics and topological structures, garment manipulations pose significant challenges. Recent…

Robotics · Computer Science 2024-12-24 Haoran Lu , Ruihai Wu , Yitong Li , Sijie Li , Ziyu Zhu , Chuanruo Ning , Yan Shen , Longzan Luo , Yuanpei Chen , Hao Dong

Humans inevitably develop a sense of the relationships between objects, some of which are based on their appearance. Some pairs of objects might be seen as being alternatives to each other (such as two pairs of jeans), while others may be…

Computer Vision and Pattern Recognition · Computer Science 2015-06-17 Julian McAuley , Christopher Targett , Qinfeng Shi , Anton van den Hengel

We present CaPhy, a novel method for reconstructing animatable human avatars with realistic dynamic properties for clothing. Specifically, we aim for capturing the geometric and physical properties of the clothing from real observations.…

Computer Vision and Pattern Recognition · Computer Science 2023-08-14 Zhaoqi Su , Liangxiao Hu , Siyou Lin , Hongwen Zhang , Shengping Zhang , Justus Thies , Yebin Liu

Traditional virtual try-on methods primarily focus on the garment-to-person try-on task, which requires flat garment representations. In contrast, this paper introduces a novel approach to the person-to-person try-on task. Unlike the…

Computer Vision and Pattern Recognition · Computer Science 2025-07-23 Zheng Wang , Xianbing Sun , Shengyi Wu , Jiahui Zhan , Jianlou Si , Chi Zhang , Liqing Zhang , Jianfu Zhang

In a computer-based virtual environment, objects may collide with each other. Therefore, different algorithms are needed to detect the collision and perform a correct action in order to avoid penetration. Based on the application and…

Computational Geometry · Computer Science 2017-09-18 Ehsan Arbabi

This paper proposes a new method for live free-viewpoint human performance capture with dynamic details (e.g., cloth wrinkles) using a single RGBD camera. Our main contributions are: (i) a multi-layer representation of garments and body,…

Computer Vision and Pattern Recognition · Computer Science 2019-03-19 Tao Yu , Zerong Zheng , Yuan Zhong , Jianhui Zhao , Qionghai Dai , Gerard Pons-Moll , Yebin Liu

The realism of digital avatars is crucial in enabling telepresence applications with self-expression and customization. While physical simulations can produce realistic motions for clothed humans, they require high-quality garment assets…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Yifei Li , Hsiao-yu Chen , Egor Larionov , Nikolaos Sarafianos , Wojciech Matusik , Tuur Stuyck

As online retail services proliferate and are pervasive in modern lives, applications for classifying fashion apparel features from image data are becoming more indispensable. Online retailers, from leading companies to start-ups, can…

Computer Vision and Pattern Recognition · Computer Science 2020-08-31 Tejaswini Mallavarapu , Luke Cranfill , Junggab Son , Eun Hye Kim , Reza M. Parizi , John Morris

Latest advances have achieved realistic virtual try-on (VTON) through localized garment inpainting using latent diffusion models, significantly enhancing consumers' online shopping experience. However, existing VTON technologies neglect the…

Computer Vision and Pattern Recognition · Computer Science 2024-08-07 Fei Shen , Xin Jiang , Xin He , Hu Ye , Cong Wang , Xiaoyu Du , Zechao Li , Jinhui Tang

Modeling the shape of garments has received much attention, but most existing approaches assume the garments to be worn by someone, which constrains the range of shapes they can assume. In this work, we address shape recovery when garments…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Ren Li , Corentin Dumery , Zhantao Deng , Pascal Fua

Computer Vision and 3D printing have rapidly evolved in the last 10 years but interactions among them have been very limited so far, despite the fact that they share several mathematical techniques. We try to fill the gap presenting an…

Computer Vision and Pattern Recognition · Computer Science 2023-09-20 Emiliano Cristiani , Maurizio Falcone , Silvia Tozza

Since loose-fitting clothing contains dynamic modes that have proven to be difficult to predict via neural networks, we first illustrate how to coarsely approximate these modes with a real-time numerical algorithm specifically designed to…

Graphics · Computer Science 2024-04-29 Yongxu Jin , Dalton Omens , Zhenglin Geng , Joseph Teran , Abishek Kumar , Kenji Tashiro , Ronald Fedkiw

We propose a deep learning approach for finding dense correspondences between 3D scans of people. Our method requires only partial geometric information in the form of two depth maps or partial reconstructed surfaces, works for humans in…

Computer Vision and Pattern Recognition · Computer Science 2016-06-28 Lingyu Wei , Qixing Huang , Duygu Ceylan , Etienne Vouga , Hao Li

The appearance of a human in clothing is driven not only by the pose but also by its temporal context, i.e., motion. However, such context has been largely neglected by existing monocular human modeling methods whose neural networks often…

Computer Vision and Pattern Recognition · Computer Science 2023-12-29 Hansol Lee , Junuk Cha , Yunhoe Ku , Jae Shin Yoon , Seungryul Baek

We develop an optimization-based method to model smocking, a surface embroidery technique that provides decorative geometric texturing while maintaining stretch properties of the fabric. During smocking, multiple pairs of points on the…

Graphics · Computer Science 2023-09-15 Jing Ren , Aviv Segall , Olga Sorkine-Hornung

Video try-on replaces clothing in videos with target garments. Existing methods struggle to generate high-quality and temporally consistent results when handling complex clothing patterns and diverse body poses. We present 3DV-TON, a novel…

Computer Vision and Pattern Recognition · Computer Science 2025-04-25 Min Wei , Chaohui Yu , Jingkai Zhou , Fan Wang