Papers CAD Reconstruction
“CAD Reconstruction” 태그가 달린 논문 33편 · 필터 해제
RealCAD: Towards Real-World Image-to-CAD Reconstruction under Domain Shift and Parameter Bias
Reconstructing editable Computer-Aided Design (CAD) models from images is essential for downstream modification, manufacturing, and design reuse. However, existing image-to-CAD methods are developed predominantly on synt…
CAD ReconstructionSOV-CAD: Stepwise Orthographic Views Guided CAD Modeling Sequence Reconstruction
Reconstructing Computer-Aided Design (CAD) modeling sequences from images is crucial for preserving design intent and supporting parametric editing. However, existing methods typically generate full CAD sequences holisti…
Reinforcement LearningCAD ReconstructionFllumaOne: A Code-Native Multimodal CAD Dataset with Executable Programs and Kernel-Validated Feature Histories
Parametric computer-aided design records both final geometry and the ordered construction history that determines how a part can be edited. Datasets for editable CAD research should therefore expose modeling operations, …
CAD ReconstructionProgram SynthesisPoint CloudsUniCAD: A Unified Benchmark and Universal Model for Multi-Modal Multi-Task CAD
Computer-Aided Design (CAD) underpins modern engineering and manufacturing by enabling the creation of precise, editable 3D models. However, CAD research typically studies tasks in isolation, and multi-modal, multi-task …
Multi-Task LearningCAD ReconstructionQuestion AnsweringPoint CloudsExtrusion Segmentation Strategy to improve CAD Reconstruction from Point Cloud
Computer-Aided Design is ubiquitous in todays world, as almost every manufactured object begins as a digital model across industries. At the same time, advances in 3D sensing have made point clouds a dominant form of raw…
CAD ReconstructionPoint CloudsCADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization
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 generati…
CAD ReconstructionPoint CloudsMamba-CAD: State Space Model For 3D Computer-Aided Design Generative Modeling
Computer-Aided Design (CAD) generative modeling has a strong and long-term application in the industry. Recently, the parametric CAD sequence as the design logic of an object has been widely mined by sequence models. How…
CAD ReconstructionBrepGaussian: CAD reconstruction from Multi-View Images with Gaussian Splatting
The boundary representation (B-Rep) models a 3D solid as its explicit boundaries: trimmed corners, edges, and faces. Recovering B-Rep representation from unstructured data is a challenging and valuable task of computer v…
CAD ReconstructionPoint CloudsSharpNet: Enhancing MLPs to Represent Functions with Controlled Non-differentiability
Multi-layer perceptrons (MLPs) are a standard tool for learning and function approximation, but they inherently produce globally smooth outputs. Consequently, they struggle to represent functions that are continuous yet …
CAD ReconstructionScheduling the Off-Diagonal Weingarten Loss of Neural SDFs for CAD Models
Neural signed distance functions (SDFs) have become a powerful representation for geometric reconstruction from point clouds, yet they often require both gradient- and curvature-based regularization to suppress spurious …
CAD ReconstructionPoint Cloudscadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning
Computer-Aided Design (CAD) plays a central role in engineering and manufacturing, making it possible to create precise and editable 3D models. Using a variety of sensor or user-provided data as inputs for CAD reconstruc…
CAD ReconstructionLarge Language Modelreinforcement-learningReinforcement Learning+1Point2Primitive: CAD Reconstruction from Point Cloud by Direct Primitive Prediction
Recovering CAD models from point clouds, especially the sketch-extrusion process, can be seen as the process of rebuilding the topology and extrusion primitives. Previous methods utilize implicit fields for sketch repres…
CAD ReconstructionGaussianCAD: Robust Self-Supervised CAD Reconstruction from Three Orthographic Views Using 3D Gaussian Splatting
The automatic reconstruction of 3D computer-aided design (CAD) models from CAD sketches has recently gained significant attention in the computer vision community. Most existing methods, however, rely on vector CAD sketc…
3D ReconstructionCAD ReconstructionCamera Pose EstimationPose EstimationCAD-Recode: Reverse Engineering CAD Code from Point Clouds
Computer-Aided Design (CAD) models are typically constructed by sequentially drawing parametric sketches and applying CAD operations to obtain a 3D model. The problem of 3D CAD reverse engineering consists of reconstruct…
CAD ReconstructionDecoderQuestion AnsweringText2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts
Prototyping complex computer-aided design (CAD) models in modern softwares can be very time-consuming. This is due to the lack of intelligent systems that can quickly generate simpler intermediate parts. We propose Text2…
CAD ReconstructionText to 3DTransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds
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 transf…
CAD ReconstructionPS-CAD: Local Geometry Guidance via Prompting and Selection for CAD Reconstruction
Reverse engineering CAD models from raw geometry is a classic but challenging research problem. In particular, reconstructing the CAD modeling sequence from point clouds provides great interpretability and convenience fo…
CAD ReconstructionCAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention
Reverse engineering in the realm of Computer-Aided Design (CAD) has been a longstanding aspiration, though not yet entirely realized. Its primary aim is to uncover the CAD process behind a physical object given its 3D sc…
3D ReconstructionCAD ReconstructionDraw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion.
Reconstructing CAD construction sequences from raw 3D geometry serves as an interface between real-world objects and digital designs. In this paper we propose CAD-Diffuser a multimodal diffusion scheme aiming at inte…
3D geometryCAD ReconstructionSfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
This paper introduces SfmCAD a novel unsupervised network that reconstructs 3D shapes by learning the Sketch-based Feature Modeling operations commonly used in modern CAD workflows. Given a 3D shape represented as vo…
CAD Reconstruction