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This paper focuses on the challenging problem of 3D pose estimation of a diverse spectrum of articulated objects from single depth images. A novel structured prediction approach is considered, where 3D poses are represented as skeletal…

Computer Vision and Pattern Recognition · Computer Science 2016-12-05 Yu Zhang , Chi Xu , Li Cheng

Representing articulated objects remains a difficult problem within the field of robotics. Objects such as pliers, clamps, or cabinets require representations that capture not only geometry and color information, but also part seperation,…

Robotics · Computer Science 2025-06-17 Stanley Lewis , Vishal Chandra , Tom Gao , Odest Chadwicke Jenkins

Retrieving the 3D kinematics of articulated objects from monocular video is a fundamental challenge in computer vision. Existing methods rely on complex video setups or cues such as long-term point tracking or wide-baseline matching, but…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Arslan Artykov , Tom Ravaud , Nicolás Violante-Grezzi , Vincent Lepetit

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

We introduce Particulate, a feed-forward model that, given a 3D mesh of an object, infers its articulations, including its 3D parts, their kinematic structure, and the motion constraints. The model is based on a transformer network, the…

Computer Vision and Pattern Recognition · Computer Science 2026-03-30 Ruining Li , Yuxin Yao , Chuanxia Zheng , Christian Rupprecht , Joan Lasenby , Shangzhe Wu , Andrea Vedaldi

Markerless motion capture algorithms require a 3D body with properly personalized skeleton dimension and/or body shape and appearance to successfully track a person. Unfortunately, many tracking methods consider model personalization a…

Computer Vision and Pattern Recognition · Computer Science 2016-10-24 Helge Rhodin , Nadia Robertini , Dan Casas , Christian Richardt , Hans-Peter Seidel , Christian Theobalt

We present MoRig, a method that automatically rigs character meshes driven by single-view point cloud streams capturing the motion of performing characters. Our method is also able to animate the 3D meshes according to the captured point…

Graphics · Computer Science 2022-10-19 Zhan Xu , Yang Zhou , Li Yi , Evangelos Kalogerakis

Despite the growing accessibility of skeletal motion data, integrating it for animating character meshes remains challenging due to diverse configurations of both skeletons and meshes. Specifically, the body scale and bone lengths of the…

Graphics · Computer Science 2025-03-19 Seokhyeon Hong , Soojin Choi , Chaelin Kim , Sihun Cha , Junyong Noh

Articulated object recognition -- the task of identifying both the geometry and kinematic joints of objects with movable parts -- is essential for enabling robots to interact with everyday objects such as doors and laptops. However,…

Robotics · Computer Science 2025-08-25 Seungyeon Kim , Junsu Ha , Young Hun Kim , Yonghyeon Lee , Frank C. Park

Computer animation in conjunction with 3D printing has the potential to positively impact traditional stop-motion animation. As 3D printing every frame of a computer animation is prohibitively slow and expensive, 3D printed stop-motion can…

Graphics · Computer Science 2019-07-25 Rinat Abdrashitov , Alec Jacobson , Karan Singh

Articulation modeling aims to infer movable parts and their motion parameters for a 3D object, enabling interactive animation, simulation, and shape editing. In this paper, we present Sketch2Arti, the first sketch-based articulation…

Computer Vision and Pattern Recognition · Computer Science 2026-04-29 Yi Yang , Hao Pan , Yijing Cui , Alla Sheffer , Changjian Li

Manipulating articulated objects with robotic arms is challenging due to the complex kinematic structure, which requires precise part segmentation for efficient manipulation. In this work, we introduce a novel superpoint-based perception…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Qiaojun Yu , Ce Hao , Xibin Yuan , Li Zhang , Liu Liu , Yukang Huo , Rohit Agarwal , Cewu Lu

Being able to reproduce physical phenomena ranging from light interaction to contact mechanics, simulators are becoming increasingly useful in more and more application domains where real-world interaction or labeled data are difficult to…

Robotics · Computer Science 2022-09-13 Eric Heiden , Ziang Liu , Vibhav Vineet , Erwin Coumans , Gaurav S. Sukhatme

Exemplar-based models have achieved great success on localizing the parts of semi-rigid objects. However, their efficacy on highly articulated objects such as humans is yet to be explored. Inspired by hierarchical object representation and…

Computer Vision and Pattern Recognition · Computer Science 2015-12-15 Jiongxin Liu , Yinxiao Li , Peter Allen , Peter Belhumeur

We present ATOP (Articulate That Object Part), a novel few-shot method based on motion personalization to articulate a static 3D object with respect to a part and its motion as prescribed in a text prompt. Given the scarcity of available…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Aditya Vora , Sauradip Nag , Kai Wang , Hao Zhang

High-fidelity human 3D models can now be learned directly from videos, typically by combining a template-based surface model with neural representations. However, obtaining a template surface requires expensive multi-view capture systems,…

Computer Vision and Pattern Recognition · Computer Science 2023-09-04 Shih-Yang Su , Timur Bagautdinov , Helge Rhodin

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 2025-12-05 Vitor Hideyo Isume , Takuya Kiyokawa , Natsuki Yamanobe , Yukiyasu Domae , Weiwei Wan , Kensuke Harada

In this work, we show that exploiting additional variables in a mixed finite element formulation of deformation leads to an efficient physics-based character skinning algorithm. Taking as input, a user-defined rig, we show how to…

We present a method to animate a character incorporating multiple part-wise motion priors (PMP). While previous works allow creating realistic articulated motions from reference data, the range of motion is largely limited by the available…

Graphics · Computer Science 2023-05-08 Jinseok Bae , Jungdam Won , Donggeun Lim , Cheol-Hui Min , Young Min Kim

We introduce Infinigen-Articulated, a toolkit for generating realistic, procedurally generated articulated assets for robotics simulation. We include procedural generators for 18 common articulated object categories along with high-level…