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In order to manipulate a deformable object, such as rope or cloth, in unstructured environments, robots need a way to estimate its current shape. However, tracking the shape of a deformable object can be challenging because of the object's…

Robotics · Computer Science 2020-11-03 Yixuan Wang , Dale McConachie , Dmitry Berenson

Understanding design decisions in relation to the future occupants of a building is a crucial part of good design. However, limitations in tools and expertise hinder meaningful human-centric decisions during the design process. In this…

Graphics · Computer Science 2021-05-12 Mathew Schwartz

Motions of virtual characters in movies or video games are typically generated by recording actors using motion capturing methods. Animations generated this way often need postprocessing, such as improving the periodicity of cyclic…

Computer Vision and Pattern Recognition · Computer Science 2015-02-27 Martin Bauer , Markus Eslitzbichler , Markus Grasmair

Many applications in 3D shape design and augmentation require the ability to make specific edits to an object's semantic parameters (e.g., the pose of a person's arm or the length of an airplane's wing) while preserving as much existing…

Computer Vision and Pattern Recognition · Computer Science 2020-11-11 Fangyin Wei , Elena Sizikova , Avneesh Sud , Szymon Rusinkiewicz , Thomas Funkhouser

Learning an animatable and clothed human avatar model with vivid dynamics and photorealistic appearance from multi-view videos is an important foundational research problem in computer graphics and vision. Fueled by recent advances in…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Heming Zhu , Guoxing Sun , Christian Theobalt , Marc Habermann

We present X-Avatar, a novel avatar model that captures the full expressiveness of digital humans to bring about life-like experiences in telepresence, AR/VR and beyond. Our method models bodies, hands, facial expressions and appearance in…

Computer Vision and Pattern Recognition · Computer Science 2023-03-10 Kaiyue Shen , Chen Guo , Manuel Kaufmann , Juan Jose Zarate , Julien Valentin , Jie Song , Otmar Hilliges

Neural representations are popular for representing shapes, as they can be learned form sensor data and used for data cleanup, model completion, shape editing, and shape synthesis. Current neural representations can be categorized as either…

Computer Vision and Pattern Recognition · Computer Science 2022-07-20 Connor Z. Lin , Niloy J. Mitra , Gordon Wetzstein , Leonidas Guibas , Paul Guerrero

Many natural shapes have most of their characterizing features concentrated over a few regions in space. For example, humans and animals have distinctive head shapes, while inorganic objects like chairs and airplanes are made of…

Computer Vision and Pattern Recognition · Computer Science 2022-06-27 Marco Pegoraro , Simone Melzi , Umberto Castellani , Riccardo Marin , Emanuele Rodolà

Realistic dynamic garments on animated characters have many AR/VR applications. While authoring such dynamic garment geometry is still a challenging task, data-driven simulation provides an attractive alternative, especially if it can be…

Computer Vision and Pattern Recognition · Computer Science 2022-09-26 Meng Zhang , Duygu Ceylan , Niloy J. Mitra

The last several years have seen significant progress in using depth cameras for tracking articulated objects such as human bodies, hands, and robotic manipulators. Most approaches focus on tracking skeletal parameters of a fixed shape…

Computer Vision and Pattern Recognition · Computer Science 2017-11-23 Aaron Walsman , Weilin Wan , Tanner Schmidt , Dieter Fox

Photorealistic telepresence requires both high-fidelity body modeling and faithful driving to enable dynamically synthesized appearance that is indistinguishable from reality. In this work, we propose an end-to-end framework that addresses…

Computer Vision and Pattern Recognition · Computer Science 2022-07-21 Edoardo Remelli , Timur Bagautdinov , Shunsuke Saito , Tomas Simon , Chenglei Wu , Shih-En Wei , Kaiwen Guo , Zhe Cao , Fabian Prada , Jason Saragih , Yaser Sheikh

Object handover is a common form of interaction that is widely present in collaborative tasks. However, achieving it efficiently remains a challenge. We address the problem of ensuring resilient robotic actions that can adapt to complex…

Robotics · Computer Science 2026-04-30 Omar Faris , Sławomir Tadeja , Fulvio Forni

3D modeling of articulated objects is a research problem within computer vision, graphics, and robotics. Its objective is to understand the shape and motion of the articulated components, represent the geometry and mobility of object parts,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-21 Jiayi Liu , Manolis Savva , Ali Mahdavi-Amiri

This paper presents a novel framework to recover detailed human body shapes from a single image. It is a challenging task due to factors such as variations in human shapes, body poses, and viewpoints. Prior methods typically attempt to…

Computer Vision and Pattern Recognition · Computer Science 2019-05-14 Hao Zhu , Xinxin Zuo , Sen Wang , Xun Cao , Ruigang Yang

This paper proposes a general approach to design automatic controls to manipulate elastic objects into desired shapes. The object's geometric model is defined as the shape feature based on the specific task to globally describe the…

Robotics · Computer Science 2021-01-07 Wanyu Ma , Jihong Zhu , David Navarro-Alarcon

Human pose estimation is a major computer vision problem with applications ranging from augmented reality and video capture to surveillance and movement tracking. In the medical context, the latter may be an important biomarker for…

Computer Vision and Pattern Recognition · Computer Science 2021-05-11 Luca Schmidtke , Athanasios Vlontzos , Simon Ellershaw , Anna Lukens , Tomoki Arichi , Bernhard Kainz

The last two decades have seen the emergence and steady development of tangible user interfaces. While most of these interfaces are applied for input - with output still on traditional computer screens - the goal of programmable matter and…

Human-Computer Interaction · Computer Science 2017-03-27 Beat Signer , Timothy J. Curtin

We propose a means of computing fitted frames on the boundary and in the interior of objects and using them to provide the basis for producing geometric features from them that are not only alignment-free but most importantly can be made to…

Computer Vision and Pattern Recognition · Computer Science 2025-10-03 Stephen M. Pizer , Zhiyuan Liu , Junjie Zhao , Nicholas Tapp-Hughes , James Damon , Miaomiao Zhang , JS Marron , Mohsen Taheri , Jared Vicory

With systems for acquiring 3D surface data being evermore commonplace, it has become important to reliably extract specific shapes from the acquired data. In the presence of noise and occlusions, this can be done through the use of…

Computer Vision and Pattern Recognition · Computer Science 2015-03-30 Alan Brunton , Augusto Salazar , Timo Bolkart , Stefanie Wuhrer

Human kinematics is of fundamental importance for rehabilitation and assistive robotic systems that physically interact with human. The wrist plays an essential role for dexterous human-robot interaction, but its conventional kinematic…

Robotics · Computer Science 2020-02-17 Ningbo Yu , Chang Xu
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