Abstract: This paper advocates a new component-aware framework to reconstruct 3D architecture from a single image. Different from existing work, our motivation is to obtain a complete set of semantically correct 3D architectural components, which enables part reusability towards rapid model reproduction and facilitates model variation. The core of our system is a novel algorithm to adaptively segment repeated curved stripes (e.g., roof tiles, building floors) into individual elements, based on which 3D dimensions as well as architectural components are derived from a single image. Specially for Chinese architectures, we further devise an interactive method to identify outer columns based on user-specified inner columns. Finally, 3D components are generated and shape rules are derived, from which the buildings and their variants are constructed. Our new component-aware framework minimizes the use of data resource (i.e., one single image) and emphasizes component utility during rapid 3D architecture reproduction by advocating a component-aware approach.
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