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200 papers

Aiming to help researchers capture output from the early stages of engineering design projects, this article presents a new research tool for digitally capturing physical prototypes. The motivation for this work is to collect observations…

Human-Computer Interaction · Computer Science 2020-03-20 Jorgen F. Erichsen , Heikki Sjöman , Martin Steinert , Torgeir Welo

With the widespread adoption of Computer-Aided Design(CAD) drawings in engineering, architecture, and industrial design, the ability to accurately interpret and analyze these drawings has become increasingly critical. Among various…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Xianlin Liu , Yan Gong , Bohao Li , Jiajing Huang , Bowen Du , Junchen Ye , Liyan Xu

We introduce a model that learns to convert simple hand drawings into graphics programs written in a subset of \LaTeX. The model combines techniques from deep learning and program synthesis. We learn a convolutional neural network that…

Artificial Intelligence · Computer Science 2018-10-30 Kevin Ellis , Daniel Ritchie , Armando Solar-Lezama , Joshua B. Tenenbaum

We adapt alignment techniques from reasoning LLMs to the task of generating engineering sketch constraints found in computer-aided design (CAD) models. Engineering sketches consist of geometric primitives (e.g. points, lines) connected by…

Reconstruction of geometry based on different input modes, such as images or point clouds, has been instrumental in the development of computer aided design and computer graphics. Optimal implementations of these applications have…

Computer Vision and Pattern Recognition · Computer Science 2019-01-15 Jun Gao , Chengcheng Tang , Vignesh Ganapathi-Subramanian , Jiahui Huang , Hao Su , Leonidas J. Guibas

The traditional workflow in continuum mechanics simulations is that a geometry description -- for example obtained using Constructive Solid Geometry or Computer Aided Design tools -- forms the input for a mesh generator. The mesh is then…

Numerical Analysis · Mathematics 2021-11-18 Luca Heltai , Wolfgang Bangerth , Martin Kronbichler , Andrea Mola

Classical proportional--integral--derivative (PID) control is widely employed in industrial applications; however, achieving higher performance often motivates the adoption of model predictive control (MPC). Although gradient-based methods…

Systems and Control · Electrical Eng. & Systems 2026-04-01 Teruki Kato , Koshi Oishi , Seigo Ito

We propose a new method for segmentation-free joint estimation of orthogonal planes, their intersection lines, relationship graph and corners lying at the intersection of three orthogonal planes. Such unified scene exploration under…

Computer Vision and Pattern Recognition · Computer Science 2020-04-27 Christiane Sommer , Yumin Sun , Leonidas Guibas , Daniel Cremers , Tolga Birdal

New finite element methods are proposed for elliptic interface problems in one and two dimensions. The main motivation is not only to get an accurate solution but also an accurate first order derivative at the interface (from each side).…

Numerical Analysis · Mathematics 2017-03-02 Fangfang Qin , Zhaohui Wang , Zhijie Ma , Zhilin Li

The primitive-path analysis (PPA) {[}R. Everaers et al. Science 303, 823, (2004){]} is an algorithm that transforms a model polymer melt into its topologically equivalent mesh by removing excess contour length stored in thermal…

Soft Condensed Matter · Physics 2024-01-22 Carsten Svaneborg

Many engineering processes exist in the industry, text books and international standards. However, in practice rarely any of the processes are followed consistently and literally. It is observed across industries the processes are altered…

Software Engineering · Computer Science 2017-06-07 Nitish M. Devadiga

3D reverse engineering, in which a CAD model is inferred given a 3D scan of a physical object, is a research direction that offers many promising practical applications. This paper proposes TransCAD, an end-to-end transformer-based…

Computer Vision and Pattern Recognition · Computer Science 2024-07-19 Elona Dupont , Kseniya Cherenkova , Dimitrios Mallis , Gleb Gusev , Anis Kacem , Djamila Aouada

Humans show high-level of abstraction capabilities in games that require quickly communicating object information. They decompose the message content into multiple parts and communicate them in an interpretable protocol. Toward equipping…

Computer Vision and Pattern Recognition · Computer Science 2022-07-28 Stephan Alaniz , Massimiliano Mancini , Anjan Dutta , Diego Marcos , Zeynep Akata

We introduce an output layer for neural networks that ensures satisfaction of convex constraints. Our approach, $\Pi$net, leverages operator splitting for rapid and reliable projections in the forward pass, and the implicit function theorem…

Machine Learning · Computer Science 2026-02-19 Panagiotis D. Grontas , Antonio Terpin , Efe C. Balta , Raffaello D'Andrea , John Lygeros

Linear programming has been practically solved mainly by simplex and interior point methods. Compared with the weakly polynomial complexity obtained by the interior point methods, the existence of strongly polynomial bounds for the length…

Optimization and Control · Mathematics 2024-04-23 Tianhao Liu , Shanwen Pu , Dongdong Ge , Yinyu Ye

Designing a computational imaging system -- selecting operators, setting parameters, validating consistency -- requires weeks of specialist effort per modality, creating an expertise bottleneck that excludes the broader scientific community…

Computer Vision and Pattern Recognition · Computer Science 2026-03-27 Chengshuai Yang

Structural engineering knowledge can be of significant importance to the architectural design team during the early design phase. However, architects and engineers do not typically work together during the conceptual phase; in fact,…

Machine Learning · Computer Science 2022-04-19 Spyridon Ampanavos , Mehdi Nourbakhsh , Chin-Yi Cheng

Computer-Aided Design (CAD) plays a foundational role in modern manufacturing and product development, often requiring designers to modify or build upon existing models. Converting 3D scans into parametric CAD representations--a process…

Computer Vision and Pattern Recognition · Computer Science 2025-10-28 Ahmet Serdar Karadeniz , Dimitrios Mallis , Danila Rukhovich , Kseniya Cherenkova , Anis Kacem , Djamila Aouada

We present a bottom-up differentiable relaxation of the process of drawing points, lines and curves into a pixel raster. Our approach arises from the observation that rasterising a pixel in an image given parameters of a primitive can be…

Computer Vision and Pattern Recognition · Computer Science 2021-07-20 Daniela Mihai , Jonathon Hare

Sampling-based controllers, such as Model Predictive Path Integral (MPPI) methods, offer substantial flexibility but often suffer from high variance and low sample efficiency. To address these challenges, we introduce a hybrid…