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Statistical models of 3D human shape and pose learned from scan databases have developed into valuable tools to solve a variety of vision and graphics problems. Unfortunately, most publicly available models are of limited expressiveness as…

Computer Vision and Pattern Recognition · Computer Science 2017-03-07 Leonid Pishchulin , Stefanie Wuhrer , Thomas Helten , Christian Theobalt , Bernt Schiele

In this work we present a method of automatic segmentation of defective skulls for custom cranial implant design and 3D printing purposes. Since such tissue models are usually required in patient cases with complex anatomical defects and…

Image and Video Processing · Electrical Eng. & Systems 2020-11-05 Oldřich Kodym , Michal Španěl , Adam Herout

We propose ID-to-3D, a method to generate identity- and text-guided 3D human heads with disentangled expressions, starting from even a single casually captured in-the-wild image of a subject. The foundation of our approach is anchored in…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Francesca Babiloni , Alexandros Lattas , Jiankang Deng , Stefanos Zafeiriou

We describe Human Mesh Recovery (HMR), an end-to-end framework for reconstructing a full 3D mesh of a human body from a single RGB image. In contrast to most current methods that compute 2D or 3D joint locations, we produce a richer and…

Computer Vision and Pattern Recognition · Computer Science 2018-06-26 Angjoo Kanazawa , Michael J. Black , David W. Jacobs , Jitendra Malik

Feature extraction is a critical technology to realize the automatic transmission of feature information throughout product life cycles. As CAD models primarily capture the 3D geometry of products, feature extraction heavily relies on…

Computer Vision and Pattern Recognition · Computer Science 2024-06-28 Peng Xu , Qi Gao , Ying-Jie Wu

Mechanical metamaterials actuators achieve pre-determined input--output operations exploiting architectural features encoded within a single 3D printed element, thus removing the need of assembling different structural components. Despite…

Soft Condensed Matter · Physics 2020-09-09 Silvia Bonfanti , Roberto Guerra , Francesc Font Clos , Daniel Rayneau-Kirkhope , Stefano Zapperi

We present PEGAsus, a new framework capable of generating Personalized 3D shapes by learning shape concepts at both Geometry and Appearance levels. First, we formulate 3D shape personalization as extracting reusable, category-agnostic…

Computer Vision and Pattern Recognition · Computer Science 2026-02-10 Jingyu Hu , Bin Hu , Ka-Hei Hui , Haipeng Li , Zhengzhe Liu , Daniel Cohen-Or , Chi-Wing Fu

In Minimally Invasive Surgery (MIS), tissue scanning with imaging probes is required for subsurface visualisation to characterise the state of the tissue. However, scanning of large tissue surfaces in the presence of deformation is a…

Robotics · Computer Science 2021-01-12 Jian Zhan , Joao Cartucho , Stamatia Giannarou

Spatiotemporal human representation based on 3D visual perception data is a rapidly growing research area. Based on the information sources, these representations can be broadly categorized into two groups based on RGB-D information or 3D…

Computer Vision and Pattern Recognition · Computer Science 2017-02-07 Fei Han , Brian Reily , William Hoff , Hao Zhang

In the context of additive manufacturing we present a novel technique for direct slicing of a dilated or eroded volume, where the input volume boundary is a triangle mesh. Rather than computing a 3D model of the boundary of the dilated or…

Graphics · Computer Science 2019-11-15 Sylvain Lefebvre

The basic problem of shape complementarity analysis appears fundamental to applications as diverse as mechanical design, assembly automation, robot motion planning, micro- and nano-fabrication, protein-ligand binding, and rational drug…

Computational Geometry · Computer Science 2017-12-05 Morad Behandish , Horea T. Ilies

Within anthropology, the use of three-dimensional (3D) imaging has become increasingly common and widespread since it broadens the available avenues for addressing a wide range of key anthropological issues. The ease with which 3D models…

Computer Vision and Pattern Recognition · Computer Science 2025-01-31 Katrina Yezzi-Woodley , Jeff Calder , Mckenzie Sweno , Chloe Siewert , Peter J. Olver

The 3D mesh is an important representation of geometric data. In the generation of mesh data, geometric deficiencies (e.g., duplicate elements, degenerate faces, isolated vertices, self-intersection, and inner faces) are unavoidable and may…

Computer Vision and Pattern Recognition · Computer Science 2020-09-04 Bingtao Ma , Hongsen Liu , Liangliang Nan , Yang Cong

Skeletonization is a popular shape analysis technique that models an object's interior as opposed to just its boundary. Fitting template-based skeletal models is a time-consuming process requiring much manual parameter tuning. Recently,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-10 Nicolás Gaggion , Enzo Ferrante , Beatriz Paniagua , Jared Vicory

Existing human mesh recovery methods assume a standard human body structure, overlooking diverse anatomical conditions such as limb loss. This assumption introduces bias when applied to individuals with amputations - a limitation further…

Graphics · Computer Science 2025-09-25 Hyunjin Cho , Giyun Choi , Jongwon Choi

Despite recent advances in geometric modeling, 3D mesh modeling still involves a considerable amount of manual labor by experts. In this paper, we introduce Mesh Draping: a neural method for transferring existing mesh structure from one…

Graphics · Computer Science 2021-10-12 Amir Hertz , Or Perel , Raja Giryes , Olga Sorkine-Hornung , Daniel Cohen-Or

While the problem of image aesthetics has been well explored, the study of 3D shape aesthetics has focused on specific manually defined features. In this paper, we learn an aesthetics measure for 3D shapes autonomously from raw voxel data…

Graphics · Computer Science 2016-08-18 Kapil Dev , Manfred Lau , Ligang Liu

The spinal angle is an important indicator of body balance. It is important to restore the 3D shape of the human body and estimate the spine center line. Existing mul-ti-image-based body restoration methods require expensive equipment and…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Sehyun Kim , Hye Jun Lee , Jiwoo Lee , Changgyun Kim , Taemin Lee

3D mesh segmentation is an important task with many biomedical applications. The human body has bilateral symmetry and some variations in organ positions. It allows us to expect a positive effect of rotation and inversion invariant layers…

Image and Video Processing · Electrical Eng. & Systems 2023-11-07 Vladislav Dordiuk , Maksim Dzhigil , Konstantin Ushenin

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