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Related papers: Sketch-based 3D Shape Modeling from Sparse Point C…

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We propose a method for reconstructing 3D shapes from 2D sketches in the form of line drawings. Our method takes as input a single sketch, or multiple sketches, and outputs a dense point cloud representing a 3D reconstruction of the input…

Computer Vision and Pattern Recognition · Computer Science 2017-10-02 Zhaoliang Lun , Matheus Gadelha , Evangelos Kalogerakis , Subhransu Maji , Rui Wang

Reconstructing a 3D shape based on a single sketch image is challenging due to the large domain gap between a sparse, irregular sketch and a regular, dense 3D shape. Existing works try to employ the global feature extracted from sketch to…

Computer Vision and Pattern Recognition · Computer Science 2022-12-27 Chenjian Gao , Qian Yu , Lu Sheng , Yi-Zhe Song , Dong Xu

Reconstructing geometric shapes from point clouds is a common task that is often accomplished by experts manually modeling geometries in CAD-capable software. State-of-the-art workflows based on fully automatic geometry extraction are…

A sketch based 3D shape retrieval

Computer Vision and Pattern Recognition · Computer Science 2019-03-14 Yinjie Lei , Ziqin Zhou , Pingping Zhang , Yulan Guo , Zijun Ma , Lingqiao Liu

Capturing real-world 3D spaces as point clouds is efficient and descriptive, but it comes with sensor errors and lacks object parametrization. These limitations render point clouds unsuitable for various real-world applications, such as…

Human-Computer Interaction · Computer Science 2024-10-02 Krzysztof Zieliński , Bruce Blumberg , Mikkel Baun Kjærgaard

In this paper, we present an easy to use sketch-based interface to extract geometries and generate affordance files from 3D point clouds for robot-object interaction tasks. Using our system, even novice users can perform robot task planning…

Human-Computer Interaction · Computer Science 2020-03-24 Sina Masnadi , Joseph J. LaViola , Xiaofan Zhu , Karthik Desingh , Odest Chadwicke Jenkins

Conventional methods of 3D object generative modeling learn volumetric predictions using deep networks with 3D convolutional operations, which are direct analogies to classical 2D ones. However, these methods are computationally wasteful in…

Computer Vision and Pattern Recognition · Computer Science 2017-06-22 Chen-Hsuan Lin , Chen Kong , Simon Lucey

The recent advances in 3D sensing technology have made possible the capture of point clouds in significantly high resolution. However, increased detail usually comes at the expense of high storage, as well as computational costs in terms of…

Computer Vision and Pattern Recognition · Computer Science 2021-10-01 Rolandos Alexandros Potamias , Giorgos Bouritsas , Stefanos Zafeiriou

3D scanning is a complex multistage process that generates a point cloud of an object typically containing damaged parts due to occlusions, reflections, shadows, scanner motion, specific properties of the object surface, imperfect…

Computer Vision and Pattern Recognition · Computer Science 2022-01-07 Taras Rumezhak , Oles Dobosevych , Rostyslav Hryniv , Vladyslav Selotkin , Volodymyr Karpiv , Mykola Maksymenko

Sketching is an important activity in any design process. Designers and stakeholders share their ideas through hand-drawn sketches. These sketches are further used to create 3D models. Current methods to generate 3D models from sketches are…

Computer Vision and Pattern Recognition · Computer Science 2022-04-12 Nitish Bhardwaj , Dhornala Bharadwaj , Alpana Dubey

Reconstructing a 3D point cloud from a given conditional sketch is challenging. Existing methods often work directly in 3D space, but domain variability and difficulty in reconstructing accurate 3D structures from 2D sketches remain…

Computer Vision and Pattern Recognition · Computer Science 2025-08-26 Di Kong , Qianhui Wan

Recent years have witnessed the growth of point cloud based applications because of its realistic and fine-grained representation of 3D objects and scenes. However, it is a challenging problem to compress sparse, unstructured, and…

Image and Video Processing · Electrical Eng. & Systems 2020-11-10 Jianqiang Wang , Dandan Ding , Zhu Li , Zhan Ma

Sketches are the most abstract 2D representations of real-world objects. Although a sketch usually has geometrical distortion and lacks visual cues, humans can effortlessly envision a 3D object from it. This suggests that sketches encode…

Computer Vision and Pattern Recognition · Computer Science 2022-01-20 Jiayun Wang , Jierui Lin , Qian Yu , Runtao Liu , Yubei Chen , Stella X. Yu

We propose a method to generate 3D shapes using point clouds. Given a point-cloud representation of a 3D shape, our method builds a kd-tree to spatially partition the points. This orders them consistently across all shapes, resulting in…

Computer Vision and Pattern Recognition · Computer Science 2017-07-21 Matheus Gadelha , Subhransu Maji , Rui Wang

Sketch-based shape modeling aims to bridge the gap between 2D drawing and 3D modeling by providing an intuitive and accessible approach to create 3D shapes from 2D sketches. However, existing methods still suffer from limitations in…

Graphics · Computer Science 2023-09-13 Jie Zhou , Zhongjin Luo , Qian Yu , Xiaoguang Han , Hongbo Fu

In this paper, we present a novel deep method to reconstruct a point cloud of an object from a single still image. Prior arts in the field struggle to reconstruct an accurate and scalable 3D model due to either the inefficient and expensive…

Computer Vision and Pattern Recognition · Computer Science 2019-11-18 Anh-Duc Nguyen , Seonghwa Choi , Woojae Kim , Sanghoon Lee

Sketch-and-extrude is a common and intuitive modeling process in computer aided design. This paper studies the problem of learning the shape given in the form of point clouds by inverse sketch-and-extrude. We present ExtrudeNet, an…

Computer Vision and Pattern Recognition · Computer Science 2022-10-03 Daxuan Ren , Jianmin Zheng , Jianfei Cai , Jiatong Li , Junzhe Zhang

Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in realistic imaging and machine visions due to its simplicity, flexibility and powerful capacity of visualization. Actually, the representation of scenes…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Omar Elharrouss , Kawther Hassine , Ayman Zayyan , Zakariyae Chatri , Noor almaadeed , Somaya Al-Maadeed , Khalid Abualsaud

Computer-Aided Design (CAD) model reconstruction from point clouds is an important problem at the intersection of computer vision, graphics, and machine learning; it saves the designer significant time when iterating on in-the-wild objects.…

Computer Vision and Pattern Recognition · Computer Science 2023-12-11 Yujia Liu , Anton Obukhov , Jan Dirk Wegner , Konrad Schindler

Currently it requires an artist to create 3D human avatars with realistic clothing that can move naturally. Despite progress on 3D scanning and modeling of human bodies, there is still no technology that can easily turn a static scan into…

Computer Vision and Pattern Recognition · Computer Science 2021-10-20 Qianli Ma , Jinlong Yang , Siyu Tang , Michael J. Black
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