Comparison of material models in modern physically based rendering pipelines
| dc.contributor.author | Bittner, Franca | |
| dc.contributor.editor | Gesellschaft für Informatik | |
| dc.date.accessioned | 2021-12-15T10:17:10Z | |
| dc.date.available | 2021-12-15T10:17:10Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | The appearance of materials results from a complex interaction of light, material properties and the geometric shape of an object. In computer graphics, various models were developed to describe these correlations. Modern rendering pipelines commonly adapt the philosophy of PBR. This study examines if the reproduction of materials differs across modern PBR tools, and compares the intuitiveness of material design, the quality and range of reproducible materials. A sequential rendering framework was developed to evaluate the visual influences of four selected parameters on material appearance. The rendered images are qualitatively compared based on material charts, scanline plots and difference images. The examined rendering tools mostly yield similar results, with the main differences caused by disparate rendering methods. Still, subtle variations between the tools are noticable, indicating the individual strengths and flaws of each renderer in terms of intuitiveness and physical accuracy. | en |
| dc.identifier.isbn | 978-3-88579-751-7 | |
| dc.identifier.pissn | 1614-3213 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/37779 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | SKILL 2021 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Seminars, Volume S-17 | |
| dc.subject | Physically Based Rendering | |
| dc.subject | Material Models | |
| dc.subject | Material Appearance | |
| dc.subject | Rendering Pipeline | |
| dc.title | Comparison of material models in modern physically based rendering pipelines | en |
| gi.citation.endPage | 36 | |
| gi.citation.startPage | 25 | |
| gi.conference.date | 28. September und 01. Oktober 2021 | |
| gi.conference.location | Berlin | |
| gi.conference.sessiontitle | SKILL 2021 |
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