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New framework reconstructs multi-part 3D CAD models from real-world scans

By PulseAugur Editorial · [1 sources] ·

Researchers have developed CADonatello, a new framework designed to reconstruct parametric CAD models from real-world 3D scans. This system addresses limitations in existing methods by handling multi-part objects and scan artifacts like noise, which are common in practical applications but underrepresented in standard datasets. CADonatello utilizes a 3D part segmentation model to break down complex objects and a cross-section-driven pipeline for reconstructing individual components, improving generalization to noisy scan data. AI

IMPACT This framework could improve the accuracy and efficiency of reverse engineering complex physical objects into digital CAD models.

RANK_REASON The cluster describes a new research paper detailing a novel framework for 3D CAD reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework reconstructs multi-part 3D CAD models from real-world scans

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The cluster describes a new research paper detailing a novel framework for 3D CAD reconstruction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Ahmet Serdar Karadeniz, Dimitrios Mallis, Parsa Akbari Chianeh, Kseniya Cherenkova, Anis Kacem, Djamila Aouada ·

    CADonatello: Towards Real-World Multi-Part 3D CAD Reconstruction

    arXiv:2610.33575v1 Announce Type: new Abstract: Existing methods for CAD reconstruction from 3D scans achieve strong performance on standard benchmarks, yet their effectiveness often degrades in real-world scenarios where objects consist of multiple parts and scan artifacts such …

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