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We present a modular framework for articulatory animation synthesis using speech motion capture data obtained with electromagnetic articulography (EMA). Adapting a skeletal animation approach, the articulatory motion data is applied to a…

Human-Computer Interaction · Computer Science 2012-03-19 Ingmar Steiner , Slim Ouni

Inspired by traditional handmade crafts, where a person improvises assemblies based on the available objects, we formally introduce the Craft Assembly Task. It is a robotic assembly task that involves building an accurate representation of…

Computer Vision and Pattern Recognition · Computer Science 2024-08-19 Vitor Hideyo Isume , Takuya Kiyokawa , Natsuki Yamanobe , Yukiyasu Domae , Weiwei Wan , Kensuke Harada

In this paper, we propose ARCH (Animatable Reconstruction of Clothed Humans), a novel end-to-end framework for accurate reconstruction of animation-ready 3D clothed humans from a monocular image. Existing approaches to digitize 3D humans…

Graphics · Computer Science 2020-04-14 Zeng Huang , Yuanlu Xu , Christoph Lassner , Hao Li , Tony Tung

Existing methods for reconstructing interactive scenes primarily focus on replacing reconstructed objects with CAD models retrieved from a limited database, resulting in significant discrepancies between the reconstructed and observed…

Robotics · Computer Science 2023-08-02 Zeyu Zhang , Lexing Zhang , Zaijin Wang , Ziyuan Jiao , Muzhi Han , Yixin Zhu , Song-Chun Zhu , Hangxin Liu

3D acquisition of archaeological artefacts has become an essential part of cultural heritage research for preservation or restoration purpose. Statues, in particular, have been at the center of many projects. In this paper, we introduce a…

Graphics · Computer Science 2020-10-08 Tong Fu , Raphaëlle Chaine , Julie Digne

Object functionality is often expressed through part articulation -- as when the two rigid parts of a scissor pivot against each other to perform the cutting function. Such articulations are often similar across objects within the same…

Computer Vision and Pattern Recognition · Computer Science 2018-09-21 Li Yi , Haibin Huang , Difan Liu , Evangelos Kalogerakis , Hao Su , Leonidas Guibas

Articulated objects are common in the real world, yet modeling their structure and motion remains a challenging task for 3D reconstruction methods. In this work, we introduce Part$^{2}$GS, a novel framework for modeling articulated digital…

Computer Vision and Pattern Recognition · Computer Science 2026-04-10 Tianjiao Yu , Vedant Shah , Muntasir Wahed , Ying Shen , Kiet A. Nguyen , Ismini Lourentzou

From refrigerators to kitchen drawers, humans interact with articulated objects effortlessly every day while completing household chores. For automating these tasks, service robots must be capable of manipulating arbitrary articulated…

Robotics · Computer Science 2026-01-06 Russell Buchanan , Adrian Röfer , João Moura , Abhinav Valada , Sethu Vijayakumar

Articulated objects are ubiquitous and important in robotics, AR/VR, and digital twins. Most self-supervised methods for articulated object modeling reconstruct discrete interaction states and relate them via cross-state geometric…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Haowen Wang , Xiaoping Yuan , Zhao Jin , Zhen Zhao , Zhengping Che , Yousong Xue , Jin Tian , Yakun Huang , Jian Tang

Interactive 3D simulated objects are crucial in AR/VR, animations, and robotics, driving immersive experiences and advanced automation. However, creating these articulated objects requires extensive human effort and expertise, limiting…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Long Le , Jason Xie , William Liang , Hung-Ju Wang , Yue Yang , Yecheng Jason Ma , Kyle Vedder , Arjun Krishna , Dinesh Jayaraman , Eric Eaton

Articulated objects like doors, drawers, valves, and tools are pervasive in our everyday unstructured dynamic environments. Articulation models describe the joint nature between the different parts of an articulated object. As most of these…

Robotics · Computer Science 2019-03-21 Yeshasvi Tirupachuri , Silvio Traversaro , Francesco Nori , Daniele Pucci

The labeled data required to learn pose estimation for articulated objects is difficult to provide in the desired quantity, realism, density, and accuracy. To address this issue, we develop a method to learn representations, which are very…

Computer Vision and Pattern Recognition · Computer Science 2018-05-24 Georg Poier , David Schinagl , Horst Bischof

Creating and updating pixel art character sprites with many frames spanning different animations and poses takes time and can quickly become repetitive. However, that can be partially automated to allow artists to focus on more creative…

Computer Vision and Pattern Recognition · Computer Science 2024-09-18 Flávio Coutinho , Luiz Chaimowicz

We propose ArtiLatent, a generative framework that synthesizes human-made 3D objects with fine-grained geometry, accurate articulation, and realistic appearance. Our approach jointly models part geometry and articulation dynamics by…

Computer Vision and Pattern Recognition · Computer Science 2025-10-27 Honghua Chen , Yushi Lan , Yongwei Chen , Xingang Pan

We, humans, are entering into a virtual era and indeed want to bring animals to the virtual world as well for companion. Yet, computer-generated (CGI) furry animals are limited by tedious off-line rendering, let alone interactive motion…

Graphics · Computer Science 2025-03-14 Haimin Luo , Teng Xu , Yuheng Jiang , Chenglin Zhou , Qiwei Qiu , Yingliang Zhang , Wei Yang , Lan Xu , Jingyi Yu

3D models of manufactured objects are important for populating virtual worlds and for synthetic data generation for vision and robotics. To be most useful, such objects should be articulated: their parts should move when interacted with.…

Graphics · Computer Science 2022-06-20 Xianghao Xu , Yifan Ruan , Srinath Sridhar , Daniel Ritchie

Learning geometry, motion, and appearance priors of object classes is important for the solution of a large variety of computer vision problems. While the majority of approaches has focused on static objects, dynamic objects, especially…

Computer Vision and Pattern Recognition · Computer Science 2022-05-18 Fangyin Wei , Rohan Chabra , Lingni Ma , Christoph Lassner , Michael Zollhöfer , Szymon Rusinkiewicz , Chris Sweeney , Richard Newcombe , Mira Slavcheva

We have recently seen great progress in building photorealistic animatable full-body codec avatars, but generating high-fidelity animation of clothing is still difficult. To address these difficulties, we propose a method to build an…

Computer Vision and Pattern Recognition · Computer Science 2021-10-07 Donglai Xiang , Fabian Prada , Timur Bagautdinov , Weipeng Xu , Yuan Dong , He Wen , Jessica Hodgins , Chenglei Wu

Many application areas ranging from serious games for health to learning by demonstration in robotics, could benefit from large body movement datasets extracted from textual instructions accompanied by images. The interpretation of…

Human-Computer Interaction · Computer Science 2020-06-09 Himangshu Sarma , Robert Porzel , Jan Smeddinck , Rainer Malaka

Given a single image of a general object such as a chair, could we also restore its articulated 3D shape similar to human modeling, so as to animate its plausible articulations and diverse motions? This is an interesting new question that…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Ji Yang , Xinxin Zuo , Sen Wang , Zhenbo Yu , Xingyu Li , Bingbing Ni , Minglun Gong , Li Cheng
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