Pointer-CAD v2: Plan-Then-Construct CAD Generation with Dimension-Aware Parametric Precision

Computer-aided design (CAD) plays a fundamental role inmodern manufacturing by providing the high precision required for in-dustrial production. Recent large language model based approaches for-mulate CAD generation as a sequence prediction problem and haveachieved promising results. However, existing methods and evaluationprotocols primarily emphasize visual similarity, while overlooking precisegeometric parameters and correct metric scale. Small numerical devia-tions that are negligible at the shape-level may still violate industrial tol-erance requirements, a problem further compounded by current autore-gressive paradigms that utilize command sequence representations, ag-gressively quantize numerical parameters to ease LLM prediction. In thiswork, we present Pointer-CAD v2. Compared with v1 [36], this versiondirectly predicts continuous values, bypassing the need for quantized nu-merical parameters and thereby eliminating quantization errors. Specif-ically, we propose a unified framework that decouples parameter rea-soning from geometric construction through a Plan-Then-Constructparadigm. Our method first produces a structured design plan withexplicit metric scale parameters. These parameters are organized intoa dictionary and directly referenced during sequence generation via apointer mechanism, eliminating discretization errors and ensuring dimen-sionally consistent execution. In addition, we construct a new large-scaledataset with plan-level annotation and introduce three hierarchical geom-etry accuracy metrics to evaluate parametric fidelity at the vertex, edge,and face levels. Extensive experiments demonstrate that Pointer-CADv2 consistently outperforms existing baselines and achieves substantialimprovements in geometric accuracy, enabling reliable CAD generationfor precision-critical engineering applications. Our code is available athttps://github.com/Snitro/Pointer-CAD-v2.