SIDe-HBIM: Single-Image Depth Inference as a Tool for Semi-Automatic Decorative Modeling

This paper introduces SIDe-HBIM (Single-Image Depth inference for HBIM), a semi-automated image-to-BIM pipeline aimed at improving the integration of architectural decorative elements into HBIM environments. The research addresses the difficulty of representing geometrically complex yet information-oriented heritage components when traditional survey techniques are impractical or disproportionate. Starting from a single photographic input, the methodology combines AI-based depth estimation, quantitative computational evaluation and parametric modeling to generate lightweight, morphologically coherent 3D elements suitable for non-photorealistic HBIM applications. Multiple image-to-depth models are processed in parallel and ranked through a weighted synthetic index based on geometric and structural indicators, after which the selected depthmap is converted into a continuous NURBS surface and integrated into a BIM environment. Application to three heterogeneous case studies from the Basilica of Santa Maria degli Angeli (Assisi) demonstrates that SIDe-HBIM is particularly effective for bas-reliefs and moderate-relief decorative apparatuses, offering a reproducible and efficient alternative for HBIM-oriented documentation.

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Publication Details

Journal
Heritage
Published
2026-02-11
DOI
https://doi.org/10.3390/heritage9020070
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
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article

SIDe-HBIM: Single-Image Depth Inference as a Tool for Semi-Automatic Decorative Modeling

Filippo Cornacchini, Fábio Zárate Bianconi, M. Filippucci, Andrea Migliosi et al.
Heritage
3D Surveying and Cultural Heritage
article

SIDe-HBIM: Single-Image Depth Inference as a Tool for Semi-Automatic Decorative Modeling

Filippo Cornacchini, Fábio Zárate Bianconi, M. Filippucci, Andrea Migliosi, Claudia Cerbai
article en

Abstract

This paper introduces SIDe-HBIM (Single-Image Depth inference for HBIM), a semi-automated image-to-BIM pipeline aimed at improving the integration of architectural decorative elements into HBIM environments. The research addresses the difficulty of representing geometrically complex yet information-oriented heritage components when traditional survey techniques are impractical or disproportionate. Starting from a single photographic input, the methodology combines AI-based depth estimation, quantitative computational evaluation and parametric modeling to generate lightweight, morphologically coherent 3D elements suitable for non-photorealistic HBIM applications. Multiple image-to-depth models are processed in parallel and ranked through a weighted synthetic index based on geometric and structural indicators, after which the selected depthmap is converted into a continuous NURBS surface and integrated into a BIM environment. Application to three heterogeneous case studies from the Basilica of Santa Maria degli Angeli (Assisi) demonstrates that SIDe-HBIM is particularly effective for bas-reliefs and moderate-relief decorative apparatuses, offering a reproducible and efficient alternative for HBIM-oriented documentation.

HeritageVol. 9(2)
University of Perugia (IT)
Sustainable cities and communities
Openalex Percentile: Top 64%
3D Surveying and Cultural Heritage
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SIDe-HBIM: Single-Image Depth Inference as a Tool for Semi-Automatic Decorative Modeling — Filippo Cornacchini, Fábio Zárate Bianconi, et al. · Heritage (2026) | TGRS Research Map | TGRS