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Related papers: Reconstructing Articulated Rigged Models from RGB-…

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Prior work for articulated 3D shape reconstruction often relies on specialized sensors (e.g., synchronized multi-camera systems), or pre-built 3D deformable models (e.g., SMAL or SMPL). Such methods are not able to scale to diverse sets of…

Computer Vision and Pattern Recognition · Computer Science 2023-04-04 Gengshan Yang , Minh Vo , Natalia Neverova , Deva Ramanan , Andrea Vedaldi , Hanbyul Joo

In robotic surgery, tool tracking is important for providing safe tool-tissue interaction and facilitating surgical skills assessment. Despite recent advances in tool tracking, existing approaches are faced with major difficulties in…

Computer Vision and Pattern Recognition · Computer Science 2016-11-01 Menglong Ye , Lin Zhang , Stamatia Giannarou , Guang-Zhong Yang

We propose novel motion representations for animating articulated objects consisting of distinct parts. In a completely unsupervised manner, our method identifies object parts, tracks them in a driving video, and infers their motions by…

Computer Vision and Pattern Recognition · Computer Science 2021-04-26 Aliaksandr Siarohin , Oliver J. Woodford , Jian Ren , Menglei Chai , Sergey Tulyakov

Animating a newly designed character using motion capture (mocap) data is a long standing problem in computer animation. A key consideration is the skeletal structure that should correspond to the available mocap data, and the shape…

Graphics · Computer Science 2021-05-07 Peizhuo Li , Kfir Aberman , Rana Hanocka , Libin Liu , Olga Sorkine-Hornung , Baoquan Chen

We present a novel method to generate accurate and realistic clothing deformation from real data capture. Previous methods for realistic cloth modeling mainly rely on intensive computation of physics-based simulation (with numerous…

Computer Vision and Pattern Recognition · Computer Science 2018-08-13 Zorah Laehner , Daniel Cremers , Tony Tung

We present an end-to-end virtual try-on pipeline, that can fit different clothes on a personalized 3-D human model, reconstructed using a single RGB image. Our main idea is to construct an animatable 3-D human model and try-on different…

Computer Vision and Pattern Recognition · Computer Science 2022-10-18 Gayal Kuruppu , Bumuthu Dilshan , Shehan Samarasinghe , Nipuna Madhushan , Ranga Rodrigo

With the support of Virtual Reality (VR) and Augmented Reality (AR) technologies, the 3D virtual eyeglasses try-on application is well on its way to becoming a new trending solution that offers a "try on" option to select the perfect pair…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Fan Zhang , Ziyue Ji , Weiguang Kang , Weiqing Li , Zhiyong Su

We propose a method to build in real-time animated 3D head models using a consumer-grade RGB-D camera. Our proposed method is the first one to provide simultaneously comprehensive facial motion tracking and a detailed 3D model of the user's…

Computer Vision and Pattern Recognition · Computer Science 2020-04-23 Diego Thomas

Constructing and animating humans is an important component for building virtual worlds in a wide variety of applications such as virtual reality or robotics testing in simulation. As there are exponentially many variations of humans with…

Computer Vision and Pattern Recognition · Computer Science 2021-01-19 Ze Yang , Shenlong Wang , Sivabalan Manivasagam , Zeng Huang , Wei-Chiu Ma , Xinchen Yan , Ersin Yumer , Raquel Urtasun

Consumer-grade RGB-D imaging for intraoperative orthopedic tissue tracking is a promising method with high translational potential. Unlike bone-mounted tracking devices, markerless tracking can reduce operating time and complexity. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-02 Connor Daly , Elettra Marconi , Marco Riva , Jinendra Ekanayake , Daniel S. Elson , Ferdinando Rodriguez y Baena

Efficient representation of articulated objects such as human bodies is an important problem in computer vision and graphics. To efficiently simulate deformation, existing approaches represent 3D objects using polygonal meshes and deform…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Boyang Deng , JP Lewis , Timothy Jeruzalski , Gerard Pons-Moll , Geoffrey Hinton , Mohammad Norouzi , Andrea Tagliasacchi

In multi-view human body capture systems, the recovered 3D geometry or even the acquired imagery data can be heavily corrupted due to occlusions, noise, limited field of- view, etc. Direct estimation of 3D pose, body shape or motion on…

Computer Vision and Pattern Recognition · Computer Science 2018-02-02 Zhong Li , Yu Ji , Wei Yang , Jinwei Ye , Jingyi Yu

Simulation is a central tool for scalable robot learning, but its effectiveness depends on the quality of object assets. While modern 3D datasets provide rich geometric and kinematic representations, they typically lack the physical…

Robotics · Computer Science 2026-05-20 Anh-Quan Pham

Although there has been significant progress in the past decade,tracking is still a very challenging computer vision task, due to problems such as occlusion and model drift.Recently, the increased popularity of depth sensors e.g. Microsoft…

Computer Vision and Pattern Recognition · Computer Science 2012-12-13 Shuran Song , Jianxiong Xiao

We present a method for temporally consistent motion segmentation from RGB-D videos assuming a piecewise rigid motion model. We formulate global energies over entire RGB-D sequences in terms of the segmentation of each frame into a number…

Computer Vision and Pattern Recognition · Computer Science 2016-08-17 Peter Bertholet , Alexandru-Eugen Ichim , Matthias Zwicker

We present a novel method for 6-DoF object tracking and high-quality 3D reconstruction from monocular RGBD video. Existing methods, while achieving impressive results, often struggle with complex objects, particularly those exhibiting…

Computer Vision and Pattern Recognition · Computer Science 2025-05-20 Takuya Ikeda , Sergey Zakharov , Muhammad Zubair Irshad , Istvan Balazs Opra , Shun Iwase , Dian Chen , Mark Tjersland , Robert Lee , Alexandre Dilly , Rares Ambrus , Koichi Nishiwaki

Articulated objects are ubiquitous in daily environments, and their 3D reconstruction holds great significance across various fields. However, existing articulated object reconstruction methods typically require costly inputs such as…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Di Wu , Liu Liu , Xueyu Yuan , Wenxiao Chen , Lijun Yue , Liuzhu Chen , Yiming Tang , Meng Wang

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 (e.g., doors and drawers) exist everywhere in our life. Different from rigid objects, articulated objects have higher degrees of freedom and are rich in geometries, semantics, and part functions. Modeling different kinds…

Computer Vision and Pattern Recognition · Computer Science 2023-11-22 Yushi Du , Ruihai Wu , Yan Shen , Hao Dong

We present an approach to robustly track the geometry of an object that deforms over time from a set of input point clouds captured from a single viewpoint. The deformations we consider are caused by applying forces to known locations on…

Computer Vision and Pattern Recognition · Computer Science 2015-03-31 Stefanie Wuhrer , Jochen Lang , Motahareh Tekieh , Chang Shu