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This is a Quantitative Study study.

October 10, 2025Open Access

Joint Neural SDF Reconstruction and Semantic Segmentation for CAD Models

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Proposed model demonstrates accurate semantic segmentation in CAD with varying part counts, indicating strong reconstruction effectiveness.

Accurate segmentation remains intact even with intricate geometries, ensuring coherent labels.
Model performance was high across metrics such as reconstruction accuracy (CDL1, CDL2) and segmentation (mIoU, Accuracy).
Augments implicit reconstruction with part-segmentation, allowing flexible handling of varying part numbers.
Segmentation Consistency metric effectively measures local label smoothness in CAD models.

Fan et al. (2025) studied this question.

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Proposed model demonstrates accurate semantic segmentation in CAD with varying part counts, indicating strong reconstruction effectiveness.