ImmersiveAutochrome: Enhanced Digitized Mono-Autochrome Viewing through Deep Learning and Virtual Reality

Resulting from the earliest impactful color photography process developed by the Lumière Brothers, autochromes are invaluable historical artifacts with a high sensitivity and susceptibility to degradation over time. We investigate the potential of deep learning to enhance the experience of historical autochromes through 3D photography and Virtual Reality (VR). Our proposed pipeline utilizes single-image depth estimation and depth-aware inpainting to transform digitized mono-autochromes into layered depth images and corresponding 3D meshes, enabling immersive 3D visualization via a WebXR application. Our user study shows the effectiveness of VR-based experience of autochromes compared to traditional visualization methods, revealing that participants found the VR experience as pleasant as analog exploration despite the latter’s authenticity. Thereby, our findings suggest that 3D VR technology could play a crucial role in digitally preserving and revitalizing these culturally significant artifacts and foster investigations with more samples and more types of user interfaces to mature these insights.

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Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00014
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

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article

ImmersiveAutochrome: Enhanced Digitized Mono-Autochrome Viewing through Deep Learning and Virtual Reality

Michael Weinmann, Saptarshi Neil Sinha, Arjan Kuijper, Holger Gräf et al.
3D Surveying and Cultural Heritage
article

ImmersiveAutochrome: Enhanced Digitized Mono-Autochrome Viewing through Deep Learning and Virtual Reality

Michael Weinmann, Saptarshi Neil Sinha, Arjan Kuijper, Holger Gräf, Robin Horst, Irina-Mihaela Ciortan
article en

Abstract

Resulting from the earliest impactful color photography process developed by the Lumière Brothers, autochromes are invaluable historical artifacts with a high sensitivity and susceptibility to degradation over time. We investigate the potential of deep learning to enhance the experience of historical autochromes through 3D photography and Virtual Reality (VR). Our proposed pipeline utilizes single-image depth estimation and depth-aware inpainting to transform digitized mono-autochromes into layered depth images and corresponding 3D meshes, enabling immersive 3D visualization via a WebXR application. Our user study shows the effectiveness of VR-based experience of autochromes compared to traditional visualization methods, revealing that participants found the VR experience as pleasant as analog exploration despite the latter’s authenticity. Thereby, our findings suggest that 3D VR technology could play a crucial role in digitally preserving and revitalizing these culturally significant artifacts and foster investigations with more samples and more types of user interfaces to mature these insights.

Norwegian University of Science and Technology (NO), Fraunhofer Institute for Computer Graphics Research (DE), Technische Universität Darmstadt (DE), Delft University of Technology (NL)
European Commission
Openalex Percentile: Top 87%
3D Surveying and Cultural Heritage
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