PS-CAD: Local Geometry Guidance via Prompting and Selection for CAD Reconstruction

作者：Bingchen Yang, Haiyong Jiang, Hao Pan, Guosheng Lin, Jun Xiao, Peter Wonka · 发表于：ACM Transactions on Graphics · 年份：2025 · DOI：10.1145/3733595 · 被引用次数：7 · 研究领域：3D Shape Modeling and Analysis、Advanced Numerical Analysis Techniques、Manufacturing Process and Optimization

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 for editing. Analyzing previous work, we observed that a CAD modeling sequence represented by tokens and processed by a generative model does not have an immediate geometric interpretation. To improve upon this problem, we introduce geometric guidance into the reconstruction network. Our proposed model, PS-CAD, reconstructs the CAD modeling sequence one step at a time as illustrated in Figure 1 . At each step, we provide three forms of geometric guidance. First, we provide the geometry of surfaces where the current reconstruction differs from the complete model as a point cloud. This helps the framework to focus on regions that still need work. Second, we use geometric analysis to extract a set of planar prompts, that correspond to candidate surfaces where a CAD extrusion step could be started. Third, we present a step-wise sampling to generate multiple complete candidate CAD modeling steps instead of single-tokens without direct geometric interpretation. Our framework has three major components. Geometric guidance computation extracts the first two types of geometric guidance. Single-step reconstruction computes a single candidate CAD modeling step for each provided prompt. Single-step selection selects among the candidate CAD modeling steps. The process contin...