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Deep implicit surfaces excel at modeling generic shapes but do not alwayscapture the regularities present in manufactured objects, which is somethingsimple geometric primitives are particularly good at. In this paper, we proposea representation combining latent and explicit parameters that can be decodedinto a set of deep implicit and geometric shapes that are consistent with eachother. As a result, we can effectively model both complex and highly regularshapes that coexist in manufactured objects. This enables our approach tomanipulate 3D shapes in an efficient and precise manner.

HybridSDF: Combining Deep Implicit Shapes and Geometric Primitives for 3D Shape Representation and Manipulation