computer-aided design
PulseAugur coverage of computer-aided design — every cluster mentioning computer-aided design across labs, papers, and developer communities, ranked by signal.
- developed boundary representation 95%
- instance of alphaXiv 90%
- developed by boundary representation 90%
- used by alphaXiv 70%
- used by ScienceCast 70%
- instance of CatalyzeX 70%
- used by boundary representation 70%
- instance of ScienceCast 70%
- instance of Gotit.pub 70%
- used by Chamfer distance 70%
- used by Gotit.pub 60%
- developed alphaXiv 60%
7 day(s) with sentiment data
-
CALIPER framework uses RGB-D data for industrial part recognition
Researchers have developed CALIPER, a novel framework for recognizing visually similar industrial parts without requiring large, class-specific datasets or CAD models. This model-free approach utilizes RGB-D data to com…
-
New Transformer Model Reconstructs 3D Curves from Sparse Images
Researchers have developed CGGT, a Curve-Grounded Geometry Transformer, designed to reconstruct editable 3D parametric curves from sparse, unposed multi-view images. This new method bypasses the need for dense camera vi…
-
AI and Maritime History Hashtags Collected
This cluster consists of a single item, which appears to be a collection of hashtags and keywords related to 3D modeling, naval architecture, and maritime history. It also includes terms associated with AI technologies …
-
LLMs enhance B-spline surface fitting in CAD systems
Researchers have developed a new framework called LASP that uses large language models (LLMs) to improve B-spline surface fitting in computer-aided design (CAD) systems. This framework translates modeling histories into…
-
AI diffusion model guides engineering design via text prompts
Researchers have developed a novel method for engineering design by merging a training-free diffusion model with topology optimization. This approach allows engineers to specify design intent through natural language pr…
-
New input representation improves neural networks for CAD boundary data
Researchers have developed a new input representation called the canonical region graph for neural networks processing computer-aided design (CAD) boundary representations. Existing methods struggle with variations in b…
-
New multi-agent system uses LLMs to redesign CAD for better manufacturing
Researchers have developed a novel multi-agent system for Design for Manufacturing (DFM) that aims to improve the manufacturability of CAD models while preserving their original design intent. This system utilizes a pre…
-
New X-ray method reconstructs gas turbine blade geometry with subpixel accuracy
Researchers have developed a novel 3D-2D rigid registration method to accurately reconstruct the geometry of gas turbine blades using X-ray projections. This approach aligns computer-aided design (CAD) models with X-ray…
-
LLMs struggle to act on encoded geometric reasoning, study finds
A new research paper explores the gap between what large language models (LLMs) encode and their ability to act on that information, specifically in the domain of geometric reasoning. The study found that while LLMs can…
-
New deep networks improve fabric segmentation for robotics
Researchers have developed a new deep learning architecture for precise top-layer fabric segmentation, a crucial step for robotic fabric destacking. The proposed method enhances a standard encoder-decoder framework with…
-
AI agent MechFaber designs real machines with CAD and physics
An AI agent named MechFaber has been developed to design physical machines using real computer-aided design (CAD) and physics simulations. Unlike previous attempts where AI models generated plausible but inconsistent de…
-
New method improves text-to-CAD generation using LLMs without verifiers
Researchers have developed a new method for improving the accuracy of text-to-CAD generation using large language models. The technique, called "3D CAD consensus selection," involves generating multiple CAD program cand…
-
Madeinair launches AI platform for integrated CAD and manufacturing
Madeinair is a new AI-powered platform designed to streamline the manufacturing process for physical parts. It integrates computer-aided design (CAD) with various production methods including 3D printing, CNC machining,…
-
Backflip AI launches AI tool to convert 3D scans to editable CAD models
Backflip AI has launched a new AI model capable of transforming 3D scans into editable CAD models in mere minutes. This technology significantly reduces the time and expertise previously required for such conversions, w…
-
New OmniMech benchmark evaluates VLMs for industrial CAD generation
Researchers have introduced OmniMech, a large-scale benchmark designed to evaluate vision-language models (VLMs) in generating executable CAD programs from industrial manufacturing data. The benchmark includes over 251,…
-
New RA-CAD agent improves text-to-CAD generation with feedback loop
Researchers have developed RA-CAD, a novel agent designed to improve text-to-CAD generation by incorporating a state-aware feedback loop. This system operates through a Generate-Execute-Critique-Rewrite cycle, where it …
-
AI system automates complex injection mold design with new dataset
Researchers have developed AIMold, an AI-powered system designed to automate the complex process of designing injection molds for plastic components. This system addresses the challenge of creating molds for intricate p…
-
GPT-5.5 leads in geometric grounding for architectural drawings
A new research paper introduces CrossProjection, a method for evaluating how well vision-language models can identify and ground geometric components in architectural drawings. The study tested GPT-5.5, Qwen3-VL-32B-Ins…
-
New method reconstructs 3D geometry for direct CAD and simulation use
Researchers have developed FORGE-SIM, a novel method for reconstructing 3D geometry from sparse RGB images that is directly compatible with CAD and simulation workflows. This approach optimizes a multi-patch B-spline bo…
-
New framework converts 2D CAD drawings to code using LLMs · 2 sources tracked
Researchers have developed Drawing-Recode, a novel framework designed to convert raster 2D CAD drawings into parametric CAD code. This system addresses limitations in existing methods by explicitly linking dimensional a…