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Large scale dynamical systems (e.g. many nonlinear coupled differential equations) can often be summarized in terms of only a few state variables (a few equations), a trait that reduces complexity and facilitates exploration of behavioral…

In this paper, we present CAD2Program, a new method for reconstructing 3D parametric models from 2D CAD drawings. Our proposed method is inspired by recent successes in vision-language models (VLMs), and departs from traditional methods…

Computer Vision and Pattern Recognition · Computer Science 2024-12-18 Xilin Wang , Jia Zheng , Yuanchao Hu , Hao Zhu , Qian Yu , Zihan Zhou

Reverse Engineering a CAD shape from other representations is an important geometric processing step for many downstream applications. In this work, we introduce a novel neural network architecture to solve this challenging task and…

Computer Vision and Pattern Recognition · Computer Science 2022-09-05 Joseph G. Lambourne , Karl D. D. Willis , Pradeep Kumar Jayaraman , Longfei Zhang , Aditya Sanghi , Kamal Rahimi Malekshan

Direct manipulation has been established as the main interaction paradigm for Computer-Aided Design (CAD) for decades. It provides fast, incremental, and reversible actions that allow for an iterative process on a visual representation of…

Human-Computer Interaction · Computer Science 2024-08-06 J. Felipe Gonzalez , Thomas Pietrzak , Audrey Girouard , Géry Casiez

Zero-shot recognition aims to accurately recognize objects of unseen classes by using a shared visual-semantic mapping between the image feature space and the semantic embedding space. This mapping is learned on training data of seen…

Computer Vision and Pattern Recognition · Computer Science 2017-03-21 Yanan Li , Donghui Wang , Huanhang Hu , Yuetan Lin , Yueting Zhuang

In the history of computer-aided design (CAD), feature-based parametric modeling and boundary representation-based direct modeling are two of the most important CAD paradigms, developed respectively in the late 1980s and the late 2000s.…

Graphics · Computer Science 2025-05-30 Qiang Zou

CAD programs are a popular way to compactly encode shapes as a sequence of operations that are easy to parametrically modify. However, without sufficient semantic comments and structure, such programs can be challenging to understand, let…

Computer Vision and Pattern Recognition · Computer Science 2024-03-27 Haocheng Yuan , Jing Xu , Hao Pan , Adrien Bousseau , Niloy J. Mitra , Changjian Li

The modern aerodynamic optimization has a strong demand for parametric methods with high levels of intuitiveness, flexibility, and representative accuracy, which cannot be fully achieved through traditional airfoil parametric techniques. In…

Fluid Dynamics · Physics 2023-05-08 Hairun Xie , Jing Wang , Miao Zhang

In this poster, we present a new VR-CAD framework, allowing user to modify parametric CAD data with 3D interaction in an immersive environment. With this framework, users can implicitly modify parameter values of CAD data with co-localized…

Graphics · Computer Science 2024-02-16 Yujiro Okuya , Nicolas Ladeveze , Cédric Fleury , Patrick Bourdot

A key step during industrial design is the passing of design information from computer aided design (CAD) to analysis tools (CAE) and vice versa. Here, one is faced with a severe incompatibility in geometry representation: While CAD is…

Computational Engineering, Finance, and Science · Computer Science 2023-07-18 Sebastian Hube , Roxana Pohlmann , Stefanie Elgeti

We present a novel method for the interactive control of geometric abstraction and texture in artistic images. Previous example-based stylization methods often entangle shape, texture, and color, while generative methods for image synthesis…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Martin Büßemeyer , Max Reimann , Benito Buchheim , Amir Semmo , Jürgen Döllner , Matthias Trapp

Deep generative models for engineering design often require substantial computational cost, large training datasets, and extensive retraining when design requirements or datasets change, limiting their applicability in real-world…

Machine Learning · Computer Science 2026-02-04 Ke Wang , Yifan Tang , Nguyen Gia Hien Vu , Faez Ahmed , G. Gary Wang

Parametric models abstract part of the specification of dynamical models by integral parameters. They are for example used in computational systems biology, notably with parametric regulatory networks, which specify the global architecture…

Logic in Computer Science · Computer Science 2018-11-30 Stefan Haar , Juraj Kolčák , Loïc Paulevé

Many applications in 3D shape design and augmentation require the ability to make specific edits to an object's semantic parameters (e.g., the pose of a person's arm or the length of an airplane's wing) while preserving as much existing…

Computer Vision and Pattern Recognition · Computer Science 2020-11-11 Fangyin Wei , Elena Sizikova , Avneesh Sud , Szymon Rusinkiewicz , Thomas Funkhouser

One of the fundamental skills required for an agent acting in an environment to complete tasks is the ability to understand what actions are plausible at any given point. This work explores a novel use of code representations to reason…

Artificial Intelligence · Computer Science 2023-11-17 Lajanugen Logeswaran , Sungryull Sohn , Yiwei Lyu , Anthony Zhe Liu , Dong-Ki Kim , Dongsub Shim , Moontae Lee , Honglak Lee

Solving large-scale optimization on-the-fly is often a difficult task for real-time computer graphics applications. To tackle this challenge, model reduction is a well-adopted technique. Despite its usefulness, model reduction often…

Graphics · Computer Science 2015-06-30 Jianbo Ye , Zhixin Yan

A new taxonomy of issues related to CAD model quality is presented, which distinguishes between explicit and procedural models. For each type of model, morphologic, syntactic, and semantic errors are characterized. The taxonomy was…

Graphics · Computer Science 2016-11-08 C. González-Lluch , P. Company , M. Contero , J. D. Camba , R. Plumed

Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a surprisingly high accuracy. However, translating this success…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Xinyu Liu , Beiwen Tian , Zhen Wang , Rui Wang , Kehua Sheng , Bo Zhang , Hao Zhao , Guyue Zhou

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

Many creative ideas are being proposed for image sensor designs, and these may be useful in applications ranging from consumer photography to computer vision. To understand and evaluate each new design, we must create a corresponding image…

Computer Vision and Pattern Recognition · Computer Science 2017-10-11 Haomiao Jiang , Qiyuan Tian , Joyce Farrell , Brian Wandell