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Despite recent progress, recovering parametric CAD construction sequences from geometric input, such as meshes or point clouds, is a key challenge for design and manufacturing, as existing CAD reconstruction and generation methods are…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Ghadi Nehme , Eamon Whalen , Faez Ahmed

This paper presents a novel paradigm in simulation-based engineering sciences by introducing a new framework called Generative Parametric Design (GPD). The GPD framework enables the generation of new designs along with their corresponding…

Computational Engineering, Finance, and Science · Computer Science 2025-12-15 Mohammed El Fallaki Idrissi , Jad Mounayer , Sebastian Rodriguez , Fodil Meraghni , Francisco Chinesta

The creation of manufacturable and editable 3D shapes through Computer-Aided Design (CAD) remains a highly manual and time-consuming task, hampered by the complex topology of boundary representations of 3D solids and unintuitive design…

Computer Vision and Pattern Recognition · Computer Science 2025-04-10 Md Ferdous Alam , Faez Ahmed

Modern CAD tools represent 3D designs not only as geometry, but also as a program composed of geometric operations, each of which depends on a set of parameters. Program representations enable meaningful and controlled shape variations via…

Graphics · Computer Science 2021-10-05 Dan Cascaval , Mira Shalah , Phillip Quinn , Rastislav Bodik , Maneesh Agrawala , Adriana Schulz

Generating editable, parametric CAD models from a single image holds great potential to lower the barriers of industrial concept design. However, current multi-modal large language models (MLLMs) still struggle with accurately inferring 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-10-21 Yinghui Wang , Xinyu Zhang , Peng Du

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

Creating CAD digital twins from the physical world is crucial for manufacturing, design, and simulation. However, current methods typically rely on costly 3D scanning with labor-intensive post-processing. To provide a user-friendly design…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Cheng Chen , Jiacheng Wei , Tianrun Chen , Chi Zhang , Xiaofeng Yang , Shangzhan Zhang , Bingchen Yang , Chuan-Sheng Foo , Guosheng Lin , Qixing Huang , Fayao Liu

Differentiable particle-based simulation can produce physically plausible motion, but target-driven volumetric shape morphing remains underconstrained: physics-only mass matching captures coarse global structure yet struggles with fine…

Graphics · Computer Science 2026-04-22 Chang-Yong Song , David Hyde

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

Computer-Aided Design (CAD) generative modeling is driving significant innovations across industrial applications. Recent works have shown remarkable progress in creating solid models from various inputs such as point clouds, meshes, and…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Feiwei Qin , Shichao Lu , Junhao Hou , Changmiao Wang , Meie Fang , Ligang Liu

Existing methods for text-to-CAD generation either operate in a single pass with no geometric verification or rely on lossy visual feedback that cannot resolve dimensional errors. We present CADSmith, a multi-agent pipeline that generates…

Artificial Intelligence · Computer Science 2026-03-30 Jesse Barkley , Rumi Loghmani , Amir Barati Farimani

Computer-Aided Design (CAD) powers modern engineering, yet producing high-quality parts still demands substantial expert effort. Many AI systems tackle CAD reverse engineering, but most are single-pass and miss fine geometric details. In…

This paper introduces GeoMorph, a novel geometric deep-learning framework designed for image registration of cortical surfaces. The registration process consists of two main steps. First, independent feature extraction is performed on each…

Machine Learning · Computer Science 2023-11-23 Mohamed A. Suliman , Logan Z. J. Williams , Abdulah Fawaz , Emma C. Robinson

Recovering editable CAD programs from images or 3D observations is central to AI-assisted design, but progress is difficult to measure because existing evaluations are fragmented across datasets, modalities, and metrics. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Anna C. Doris , Jacob Thomas Sony , Ghadi Nehme , Era Syla , Amin Heyrani Nobari , Faez Ahmed

We introduce METHODNAME, a novel framework for semantic-aware 3D shape and texture morphing directly from multi-view images. While 3D Gaussian Splatting (3DGS) enables photorealistic rendering, its unstructured nature often leads to…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Mengtian Li , Yunshu Bai , Yimin Chu , Xinru Guo , Haolin Liu , Zhifeng Xie , Chaofeng Chen

Towards intelligent image editing, object removal should eliminate both the target object and its causal visual artifacts, such as shadows and reflections. However, existing image appearance-based methods either follow strictly mask-aligned…

Computer Vision and Pattern Recognition · Computer Science 2025-10-08 Zixin Zhu , Haoxiang Li , Xuelu Feng , He Wu , Chunming Qiao , Junsong Yuan

Generating executable CAD programs from images requires alignment between visual geometry and symbolic program representations, a capability that current methods fail to learn reliably as design complexity increases. Existing fine-tuning…

Machine Learning · Computer Science 2026-03-31 Giorgio Giannone , Anna Clare Doris , Amin Heyrani Nobari , Kai Xu , Akash Srivastava , Faez Ahmed

Mechanical design and manufacturing workflows conventionally begin with conceptual design, followed by the creation of a computer-aided design (CAD) model and fabrication through material-extrusion (MEX) printing. This process requires…

Machine Learning · Computer Science 2026-03-20 Ziyue Wang , Yayati Jadhav , Peter Pak , Amir Barati Farimani

In this work, we introduce CAD-Coder, a novel framework that reformulates text-to-CAD as the generation of CadQuery scripts - a Python-based, parametric CAD language. This representation enables direct geometric validation, a richer…

Graphics · Computer Science 2026-05-15 Yandong Guan , Xilin Wang , Ximing Xing , Jing Zhang , Dong Xu , Qian Yu

Feature-based parametric modeling is the de facto standard in CAD. Boundary representation-based direct modeling is another CAD paradigm developed recently. They have complementary advantages and limitations, thereby offering huge potential…

Graphics · Computer Science 2023-01-10 Qiang Zou , Hsi-Yung Feng , Shuming Gao
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