Spektrální uplifting ovladatelný umělcem
Thesis title in Czech: | Spektrální uplifting ovladatelný umělcem |
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Thesis title in English: | Artist-controllable spectral uplifting |
Key words: | spektrálny rendering|spektrálny uplifting |
English key words: | spectral rendering|spectral uplifting |
Academic year of topic announcement: | 2020/2021 |
Thesis type: | dissertation |
Thesis language: | čeština |
Department: | Department of Software and Computer Science Education (32-KSVI) |
Supervisor: | doc. Alexander Wilkie, Dr. |
Author: | hidden - assigned and confirmed by the Study Dept. |
Date of registration: | 01.09.2021 |
Date of assignment: | 01.09.2021 |
Confirmed by Study dept. on: | 25.11.2021 |
Guidelines |
For the purposes of utilizing RGB-based assets in a spectral renderer, accurate conversion of RGB values to their spectral variants is a desired feature. This process is called spectral uplifting (or spectral upsampling) and although multiple methods capable of it have already been proposed, it is still not possible to synthesize spectra by example — that is, to uplift RGB values to spectra that match measurements from real surfaces. Such a process would allow artists to perform asset modeling in color space, while yielding consistent and physically plausible spectra for the input RGB values.
As a followup to this algorithm, another goal of this dissertation is to develop a framework suitable for an artist without prior knowledge about spectral information to craft reflectance and transmission spectra. This framework would give the artist a closer control of the spectral domain, which would allow a finer control of the scene appearance, including the utilization of spectral textures, under specific lighting conditions. This would also allow creation of metamers for specific illuminants. Due to its possibility to synthesize spectra by example, the framework would additionally offer the option of working with specific material classes – for example, if the artist were to paint a metal texture, suitable spectra of real metal surfaces would be selected for the uplifting process. |
References |
Wenzel Jakob and Johannes Hanika
A Low-Dimensional Function Space for Efficient Spectral Upsampling Comput. Graph. Forum, 38(2), pp. 147-155, 2019. Alisa Jung and Alexander Wilkie and Johannes Hanika and Wenzel Jakob and Carsten Dachsbacher Wide Gamut Spectral Upsampling with Fluorescence Comput. Graph. Forum, 38(4), pp. 87-96, 2019. |