Fabric Appearance Benchmark
dc.contributor.author | Merzbach, Sebastian | en_US |
dc.contributor.author | Klein, Reinhard | en_US |
dc.contributor.editor | Ritschel, Tobias and Eilertsen, Gabriel | en_US |
dc.date.accessioned | 2020-05-24T13:40:47Z | |
dc.date.available | 2020-05-24T13:40:47Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Appearance modeling is a difficult problem that still receives considerable attention from the graphics and vision communities. Though recent years have brought a growing number of high-quality material databases that have sparked new research, there is a general lack of evaluation benchmarks for performance assessment and fair comparisons between competing works. We therefore release a new dataset and pose a public challenge that will enable standardized evaluations. For this we measured 56 fabric samples with a commercial appearance scanner. We publish the resulting calibrated HDR images, along with baseline SVBRDF fits. The challenge is to recreate, under known light and view sampling, the appearance of a subset of unseen images. User submissions will be automatically evaluated and ranked by a set of standard image metrics. | en_US |
dc.description.sectionheaders | Posters | |
dc.description.seriesinformation | Eurographics 2020 - Posters | |
dc.identifier.doi | 10.2312/egp.20201035 | |
dc.identifier.isbn | 978-3-03868-104-5 | |
dc.identifier.issn | 1017-4656 | |
dc.identifier.pages | 3-4 | |
dc.identifier.uri | https://doi.org/10.2312/egp.20201035 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egp20201035 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | ] |
dc.subject | Computing methodologies | |
dc.subject | Reflectance modeling | |
dc.subject | Appearance and texture representations | |
dc.title | Fabric Appearance Benchmark | en_US |