Abstract. Violent forces such as earthquakes or human interaction can damage or demolish objects of cultural heritage. Many architectural masterpieces have survived only in a few photos or drawings. Moreover, often interior decorations of buildings such as stucco or paintings are destroyed by fire. Therefore, an automatic 2D-to-3D reconstruction that can assists architecture historians in process of restoration of original 3D shape of a lost site of culture heritage is required. An automatic in-paint method can assists restoration of partially destroyed stucco and paintings. We present an end-to-end framework that receives a single image of an object and predicts its vector of the exterior orientation parameters. The main objective of a present work is reconstruction of 3D model of a partially destroyed 3D object and it 3D in-painting. As the initial and prerequisite phase of this framework we propose a new generative model for estimation of the exterior orientation parameters for a given input image using a Diffusion model (DiffusionBAS).
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