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Single-image 3D human reconstruction aims to reconstruct the 3D textured surface of the human body given a single image. While implicit function-based methods recently achieved reasonable reconstruction performance, they still bear…

Computer Vision and Pattern Recognition · Computer Science 2022-11-10 Gyumin Shim , Minsoo Lee , Jaegul Choo

3D-aware portrait editing has a wide range of applications in multiple fields. However, current approaches are limited due that they can only perform mask-guided or text-based editing. Even by fusing the two procedures into a model, the…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Kangneng Zhou , Daiheng Gao , Xuan Wang , Jie Zhang , Peng Zhang , Xusen Sun , Longhao Zhang , Shiqi Yang , Bang Zhang , Liefeng Bo , Yaxing Wang , Ming-Ming Cheng

Aiming at inferring 3D shapes from 2D images, 3D shape reconstruction has drawn huge attention from researchers in computer vision and deep learning communities. However, it is not practical to assume that 2D input images and their…

Computer Vision and Pattern Recognition · Computer Science 2018-11-30 Yi-Lun Liao , Yao-Cheng Yang , Yu-Chiang Frank Wang

3D Morphable Model (3DMM) based methods have achieved great success in recovering 3D face shapes from single-view images. However, the facial textures recovered by such methods lack the fidelity as exhibited in the input images. Recent work…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 Jiangke Lin , Yi Yuan , Tianjia Shao , Kun Zhou

Surface topography refers to the geometric micro-structure of a surface and defines its tactile characteristics (typically in the sub-millimeter range). High-resolution 3D scanning techniques developed recently enable the 3D reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2015-05-07 Matthias Zeppelzauer , Markus Seidl

Parametric boundary representation models (B-Reps) are the de facto standard in CAD, graphics, and robotics, yet converting them into valid meshes remains fragile. The difficulty originates from the unavoidable approximation of high-order…

Graphics · Computer Science 2026-04-03 YunFan Zhou , Daniel Zint , Nafiseh Izadyar , Michael Tao , Daniele Panozzo , Teseo Schneider

Recent probabilistic methods for 3D triangular meshes capture diverse shapes by differentiable mesh connectivity, but face high computational costs with increased shape details. We introduce a new differentiable mesh processing method that…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Sanghyun Son , Matheus Gadelha , Yang Zhou , Matthew Fisher , Zexiang Xu , Yi-Ling Qiao , Ming C. Lin , Yi Zhou

Cascaded regression has been recently applied to reconstructing 3D faces from single 2D images directly in shape space, and achieved state-of-the-art performance. This paper investigates thoroughly such cascaded regression based 3D face…

Computer Vision and Pattern Recognition · Computer Science 2017-04-19 Feng Liu , Dan Zeng , Jing Li , Qijun Zhao

This paper presents a method to reconstruct high-quality textured 3D models from both multi-view and single-view images. The reconstruction is posed as an adaptation problem and is done progressively where in the first stage, we focus on…

Computer Vision and Pattern Recognition · Computer Science 2022-03-18 Aysegul Dundar , Jun Gao , Andrew Tao , Bryan Catanzaro

Dense reconstructions often contain errors that prior work has so far minimised using high quality sensors and regularising the output. Nevertheless, errors still persist. This paper proposes a machine learning technique to identify errors…

Computer Vision and Pattern Recognition · Computer Science 2018-01-31 Michael Tanner , Stefan Saftescu , Alex Bewley , Paul Newman

Shape reconstruction from imaging volumes is a recurring need in medical image analysis. Common workflows start with a segmentation step, followed by careful post-processing and,finally, ad hoc meshing algorithms. As this sequence can be…

Computer Vision and Pattern Recognition · Computer Science 2025-07-11 Antonio Pepe , Richard Schussnig , Jianning Li , Christina Gsaxner , Dieter Schmalstieg , Jan Egger

We present a new method for performing Boolean operations on volumes represented as triangle meshes. In contrast to existing methods which treat meshes as 3D polyhedra and try to partition the faces at their exact intersection curves, we…

Graphics · Computer Science 2016-05-09 Ryan Schmidt , Tyson Brochu

Face parsing assigns pixel-wise semantic labels as the face representation for computers, which is the fundamental part of many advanced face technologies. Compared with 2D face parsing, 3D face parsing shows more potential to achieve…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Wenyuan Sun , Ping Zhou , Yangang Wang , Zongpu Yu , Jing Jin , Guangquan Zhou

In this paper we propose a new approach to incrementally initialize a manifold surface for automatic 3D reconstruction from images. More precisely we focus on the automatic initialization of a 3D mesh as close as possible to the final…

Computer Vision and Pattern Recognition · Computer Science 2016-04-22 Andrea Romanoni , Amaël Delaunoy , Marc Pollefeys , Matteo Matteucci

We introduce PolyDiff, the first diffusion-based approach capable of directly generating realistic and diverse 3D polygonal meshes. In contrast to methods that use alternate 3D shape representations (e.g. implicit representations), our…

Computer Vision and Pattern Recognition · Computer Science 2023-12-19 Antonio Alliegro , Yawar Siddiqui , Tatiana Tommasi , Matthias Nießner

Digital twins require continuous maintenance to meet the increasing demand for high-precision geospatial data. However, traditional coarse CityGML building models, typically derived from Airborne Laser Scanning (ALS), often exhibit…

Computer Vision and Pattern Recognition · Computer Science 2026-04-07 Xiaoyu Huang

The present paper suggests a new approach for geometric representation of 3D spatial models and provides a new compression algorithm for 3D meshes, which is based on mathematical theory of convex geometry. In our approach we represent a 3D…

Computational Geometry · Computer Science 2013-08-13 Rafik Aramyan , Gagik Mkrtchyan , Arman Karapetyan

Effectively parsing the facade is essential to 3D building reconstruction, which is an important computer vision problem with a large amount of applications in high precision map for navigation, computer aided design, and city generation…

Computer Vision and Pattern Recognition · Computer Science 2021-06-03 Hantang Liu , Wentong Li , Jianke Zhu

Nowadays, it is possible to scan faces and automatically register them with high quality. However, the resulting face meshes often need further processing: we need to stabilize them to remove unwanted head movement. Stabilization is…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Jan Bednarik , Erroll Wood , Vasileios Choutas , Timo Bolkart , Daoye Wang , Chenglei Wu , Thabo Beeler

Current structural pruning methods face two significant limitations: (i) they often limit pruning to finer-grained levels like channels, making aggressive parameter reduction challenging, and (ii) they focus heavily on parameter and FLOP…

Computer Vision and Pattern Recognition · Computer Science 2025-04-04 Xinglong Sun , Barath Lakshmanan , Maying Shen , Shiyi Lan , Jingde Chen , Jose M. Alvarez