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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

In this paper, we consider the problem to automatically reconstruct garment and body shapes from a single near-front view RGB image. To this end, we propose a layered garment representation on top of SMPL and novelly make the skinning…

Computer Vision and Pattern Recognition · Computer Science 2020-08-04 Boyi Jiang , Juyong Zhang , Yang Hong , Jinhao Luo , Ligang Liu , Hujun Bao

Humans rely on properties of the materials that make up objects to guide our interactions with them. Grasping smooth materials, for example, requires care, and softness is an ideal property for fabric used in bedding. Even when these…

Computer Vision and Pattern Recognition · Computer Science 2018-01-11 Gabriel Schwartz , Ko Nishino

Practical garment design spans two modes: intuitive creation from high-level intent, such as a reference image or text description, and complex low-level editing across 2D sewing patterns and 3D draped geometry, which requires professional…

Graphics · Computer Science 2026-05-28 Kiyohiro Nakayama , I-Chao Shen , Ruofan Liu , Yiming Wang , Gordon Wetzstein , Takeo Igarashi

Delicate cloth simulations have long been desired in computer graphics. Various methods were proposed to improve engaged force interactions, collision handling, and numerical integrations. Deep learning has the potential to achieve fast and…

Graphics · Computer Science 2025-01-20 Zhiwei Zhao

In apparel recognition, specialized models (e.g. models trained for a particular vertical like dresses) can significantly outperform general models (i.e. models that cover a wide range of verticals). Therefore, deep neural network models…

Computer Vision and Pattern Recognition · Computer Science 2017-08-16 Yang Song , Yuan Li , Bo Wu , Chao-Yeh Chen , Xiao Zhang , Hartwig Adam

Accurate manipulation of a deformable body such as a piece of fabric is difficult because of its many degrees of freedom and unobservable properties affecting its dynamics. To alleviate these challenges, we propose the application of…

Robotics · Computer Science 2019-04-03 Vladimír Petrík , Ville Kyrki

Deep learning approaches have achieved unprecedented performance in visual recognition tasks such as object detection and pose estimation. However, state-of-the-art models have millions of parameters represented as floats which make them…

Computer Vision and Pattern Recognition · Computer Science 2021-02-08 Gedeon Muhawenayo , Georgia Gkioxari

Reconstructing object geometry and material from multiple views typically requires optimization. Differentiable path tracing is an appealing framework as it can reproduce complex appearance effects. However, it is difficult to use due to…

Computer Vision and Pattern Recognition · Computer Science 2020-12-09 Purvi Goel , Loudon Cohen , James Guesman , Vikas Thamizharasan , James Tompkin , Daniel Ritchie

We present ClothCombo, a pipeline to drape arbitrary combinations of clothes on 3D human models with varying body shapes and poses. While existing learning-based approaches for draping clothes have shown promising results, multi-layered…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Dohae Lee , Hyun Kang , In-Kwon Lee

Training defect detection algorithms for visual surface inspection systems requires a large and representative set of training data. Often there is not enough real data available which additionally cannot cover the variety of possible…

Computational Engineering, Finance, and Science · Computer Science 2024-03-21 Natascha Jeziorski , Claudia Redenbach

Outfits in online fashion data are composed of items of many different types (e.g. top, bottom, shoes) that share some stylistic relationship with one another. A representation for building outfits requires a method that can learn both…

Computer Vision and Pattern Recognition · Computer Science 2018-07-31 Mariya I. Vasileva , Bryan A. Plummer , Krishna Dusad , Shreya Rajpal , Ranjitha Kumar , David Forsyth

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

Garment sewing pattern represents the intrinsic rest shape of a garment, and is the core for many applications like fashion design, virtual try-on, and digital avatars. In this work, we explore the challenging problem of recovering garment…

Computer Vision and Pattern Recognition · Computer Science 2023-11-08 Lijuan Liu , Xiangyu Xu , Zhijie Lin , Jiabin Liang , Shuicheng Yan

A general approach to simulate the mechanical behavior of textile materials by taking into account all their constitutive elementary fibers and contacts between them is presented in this paper. A finite element code, based on an implicit…

Materials Science · Physics 2009-12-08 Damien Durville

Curved elastic shells can be fabricated through molding or by harnessing residual stresses. These shells often exhibit snap-through behavior and multistability when loaded. We present a unique way of fabricating curved elastic shells that…

In this technical report, we investigate efficient representations of articulated objects (e.g. human bodies), which is an important problem in computer vision and graphics. To deform articulated geometry, existing approaches represent…

We propose a 3D latent representation that jointly models object geometry and view-dependent appearance. Most prior works focus on either reconstructing 3D geometry or predicting view-independent diffuse appearance, and thus struggle to…

Computer Vision and Pattern Recognition · Computer Science 2026-03-12 Jen-Hao Rick Chang , Xiaoming Zhao , Dorian Chan , Oncel Tuzel

Building effective recommender systems for domains like fashion is challenging due to the high level of subjectivity and the semantic complexity of the features involved (i.e., fashion styles). Recent work has shown that approaches to…

Computer Vision and Pattern Recognition · Computer Science 2017-11-08 Wang-Cheng Kang , Chen Fang , Zhaowen Wang , Julian McAuley

Materials used in real clothing exhibit remarkable complexity and spatial variation due to common processes such as stitching, hemming, dyeing, printing, padding, and bonding. Simulating these materials, for instance using finite element…

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