CAD Reconstruction
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Benchmarks
Most implemented
cadrille: Multi-modal CAD Reconstruction with Online Reinforcement Learning
CAD-Recode: Reverse Engineering CAD Code from Point Clouds
Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts
Hierarchical Neural Coding for Controllable CAD Model Generation
SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing
Papers
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 Clouds