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Related papers: Text-Enhanced Panoptic Symbol Spotting in CAD Draw…

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This work studies the problem of panoptic symbol spotting, which is to spot and parse both countable object instances (windows, doors, tables, etc.) and uncountable stuff (wall, railing, etc.) from computer-aided design (CAD) drawings.…

Computer Vision and Pattern Recognition · Computer Science 2024-01-22 Wenlong Liu , Tianyu Yang , Yuhan Wang , Qizhi Yu , Lei Zhang

We introduce CADSpotting, an effective method for panoptic symbol spotting in large-scale architectural CAD drawings. Existing approaches often struggle with symbol diversity, scale variations, and overlapping elements in CAD designs, and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-22 Fuyi Yang , Jiazuo Mu , Yanshun Zhang , Mingqian Zhang , Junxiong Zhang , Yongjian Luo , Lan Xu , Jingyi Yu , Yujiao Shi , Yingliang Zhang

Spotting graphical symbols from the computer-aided design (CAD) drawings is essential to many industrial applications. Different from raster images, CAD drawings are vector graphics consisting of geometric primitives such as segments, arcs,…

Computer Vision and Pattern Recognition · Computer Science 2022-01-11 Zhaohua Zheng , Jianfang Li , Lingjie Zhu , Honghua Li , Frank Petzold , Ping Tan

We study the task of panoptic symbol spotting, which involves identifying both individual instances of countable things and the semantic regions of uncountable stuff in computer-aided design (CAD) drawings composed of vector graphical…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Xingguang Wei , Haomin Wang , Shenglong Ye , Ruifeng Luo , Yanting Zhang , Lixin Gu , Jifeng Dai , Yu Qiao , Wenhai Wang , Hongjie Zhang

Access to large and diverse computer-aided design (CAD) drawings is critical for developing symbol spotting algorithms. In this paper, we present FloorPlanCAD, a large-scale real-world CAD drawing dataset containing over 10,000 floor plans,…

Computer Vision and Pattern Recognition · Computer Science 2021-12-01 Zhiwen Fan , Lingjie Zhu , Honghua Li , Xiaohao Chen , Siyu Zhu , Ping Tan

Recognizing symbols in architectural CAD drawings is critical for various advanced engineering applications. In this paper, we propose a novel CAD data annotation engine that leverages intrinsic attributes from systematically archived CAD…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 Ruifeng Luo , Zhengjie Liu , Tianxiao Cheng , Jie Wang , Tongjie Wang , Xingguang Wei , Haomin Wang , YanPeng Li , Fu Chai , Fei Cheng , Shenglong Ye , Wenhai Wang , Yanting Zhang , Yu Qiao , Hongjie Zhang , Xianzhong Zhao

The design and analysis of Computer-Aided Design (CAD) sketches play a crucial role in industrial product design, primarily involving CAD primitives and their inter-primitive constraints. To address challenges related to error accumulation…

Computer Vision and Pattern Recognition · Computer Science 2024-07-02 Xiaogang Wang , Liang Wang , Hongyu Wu , Guoqiang Xiao , Kai Xu

SymPoint is an initial attempt that utilizes point set representation to solve the panoptic symbol spotting task on CAD drawing. Despite its considerable success, it overlooks graphical layer information and suffers from prohibitively slow…

Computer Vision and Pattern Recognition · Computer Science 2024-07-03 Wenlong Liu , Tianyu Yang , Qizhi Yu , Lei Zhang

Parsing Computer-Aided Design (CAD) drawings is a fundamental step for CAD revision, semantic-based management, and the generation of 3D prototypes in both the architecture and engineering industries. Labeling symbols from a CAD drawing is…

Computer Vision and Pattern Recognition · Computer Science 2024-04-18 Junbiao Pang , Zailin Dong , Jiaxin Deng , Mengyuan Zhu , Yunwei Zhang

Text-based retrieval of Computer-Aided Design (CAD) models is a critical yet underexplored task for the reuse of legacy industrial designs. Existing CAD repositories are typically searched using filenames or directories, which limits the…

Computer Vision and Pattern Recognition · Computer Science 2026-05-08 Honghu Pan , Zibo Du , Daxiang Liu , Chengliang Liu , Xiaoling Luo

High-level 3D scene understanding is essential in many applications. However, the challenges of generating accurate 3D annotations make development of deep learning models difficult. We turn to recent advancements in automatic retrieval of…

Computer Vision and Pattern Recognition · Computer Science 2025-05-19 Yuchen Rao , Stefan Ainetter , Sinisa Stekovic , Vincent Lepetit , Friedrich Fraundorfer

The immense success of deep learning based methods in computer vision heavily relies on large scale training datasets. These richly annotated datasets help the network learn discriminative visual features. Collecting and annotating such…

Computer Vision and Pattern Recognition · Computer Science 2018-07-09 Yash Patel , Lluis Gomez , Raul Gomez , Marçal Rusiñol , Dimosthenis Karatzas , C. V. Jawahar

CAD model retrieval to real-world scene observations has shown strong promise as a basis for 3D perception of objects and a clean, lightweight mesh-based scene representation; however, current approaches to retrieve CAD models to a query…

Computer Vision and Pattern Recognition · Computer Science 2022-03-25 Tim Beyer , Angela Dai

Computer-Aided Design (CAD) is a foundational component of industrial prototyping, where models are defined not by raw coordinates but by construction sequences such as sketches and extrusions. This sequential structure enables both…

Machine Learning · Computer Science 2026-03-05 Ruiyu Wang , Shizhao Sun , Weijian Ma , Jiang Bian

The digitization of engineering drawings is crucial for efficient reuse, distribution, and archiving. Existing computer vision approaches for digitizing engineering drawings typically assume the input drawings have high quality. However, in…

Computer Vision and Pattern Recognition · Computer Science 2023-12-22 Lvyang Yang , Jiankang Zhang , Huaiqiang Li , Longfei Ren , Chen Yang , Jingyu Wang , Dongyuan Shi

Recovering CAD models from point clouds requires reconstructing their topology and sketch-based extrusion primitives. A dominant paradigm for representing sketches involves implicit neural representations such as Signed Distance Fields…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Xinzhu Ma , Cheng Wang , Chen Tang , Bin Wang , Shixiang Tang , Yuan Meng , Yunhong Wang , Di Huang

CAD (Computer-Aided Design) plays a crucial role in mechanical industry, where large numbers of similar-shaped CAD parts are often created. Efficiently reusing these parts is key to reducing design and production costs for enterprises.…

Information Retrieval · Computer Science 2024-06-19 Yuhan Quan , Huan Zhao , Jinfeng Yi , Yuqiang Chen

Parametric computer-aided design (CAD) tools are the predominant way that engineers specify physical structures, from bicycle pedals to airplanes to printed circuit boards. The key characteristic of parametric CAD is that design intent is…

Machine Learning · Computer Science 2022-04-29 Ari Seff , Wenda Zhou , Nick Richardson , Ryan P. Adams

Computer Aided Design (CAD) is indispensable across various industries. \emph{Text-based CAD editing}, which automates the modification of CAD models based on textual instructions, holds great potential but remains underexplored. Existing…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Yu Yuan , Shizhao Sun , Qi Liu , Jiang Bian

We present a universal framework to model contextualized sentence representations with visual awareness that is motivated to overcome the shortcomings of the multimodal parallel data with manual annotations. For each sentence, we first…

Computation and Language · Computer Science 2019-11-12 Zhuosheng Zhang , Rui Wang , Kehai Chen , Masao Utiyama , Eiichiro Sumita , Hai Zhao
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