Deep multispectral painting reproduction via multi-layer, custom-ink printing

Liang Shi, Vahid Babaei, Changil Kim, Michael Foshey, Yuanming Hu, Pitchaya Sitthi-Amorn, Szymon Rusinkiewicz, Wojciech Matusik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We propose a workflow for spectral reproduction of paintings, which captures a painting's spectral color, invariant to illumination, and reproduces it using multi-material 3D printing. We take advantage of the current 3D printers' capabilities of combining highly concentrated inks with a large number of layers, to expand the spectral gamut of a set of inks. We use a data-driven method to both predict the spectrum of a printed ink stack and optimize for the stack layout that best matches a target spectrum. This bidirectional mapping is modeled using a pair of neural networks, which are optimized through a problem-specific multi-objective loss function. Our loss function helps find the best possible ink layout resulting in the balance between spectral reproduction and colorimetric accuracy under a multitude of illuminants. In addition, we introduce a novel spectral vector error diffusion algorithm based on combining color contoning and halftoning, which simultaneously solves the layout discretization and color quantization problems, accurately and efficiently. Our workflow outperforms the state-of-the-art models for spectral prediction and layout optimization. We demonstrate reproduction of a number of real paintings and historically important pigments using our prototype implementation that uses 10 custom inks with varying spectra and a resin-based 3D printer.

Original languageEnglish (US)
Title of host publicationSIGGRAPH Asia 2018 Technical Papers, SIGGRAPH Asia 2018
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450360081
DOIs
StatePublished - Dec 4 2018
EventSIGGRAPH Asia 2018 Technical Papers - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH Asia 2018 - Tokyo, Japan
Duration: Dec 4 2018Dec 7 2018

Publication series

NameSIGGRAPH Asia 2018 Technical Papers, SIGGRAPH Asia 2018

Conference

ConferenceSIGGRAPH Asia 2018 Technical Papers - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH Asia 2018
CountryJapan
CityTokyo
Period12/4/1812/7/18

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Keywords

  • 3d printing
  • Multi-spectral imaging
  • Spectral reproduction

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  • Cite this

    Shi, L., Babaei, V., Kim, C., Foshey, M., Hu, Y., Sitthi-Amorn, P., Rusinkiewicz, S., & Matusik, W. (2018). Deep multispectral painting reproduction via multi-layer, custom-ink printing. In SIGGRAPH Asia 2018 Technical Papers, SIGGRAPH Asia 2018 [271] (SIGGRAPH Asia 2018 Technical Papers, SIGGRAPH Asia 2018). Association for Computing Machinery, Inc. https://doi.org/10.1145/3272127.3275057