{"url":"/dataset/appbench","name":"APPBENCH","full_name":"SVBRDF Database Bonn","description_markdown":"A database of 56 high quality fabric material measurements, provided as carefully calibrated rectified HDR images, together with SVBRDF fits. Used in the [Fabric Appearance Challange](https://competitions.codalab.org/competitions/24979).\r\n\r\n![](https://cg.cs.uni-bonn.de/uploads/svbrdfs/APPBENCH/html/videos/mat0386.webp)\r\n![](https://cg.cs.uni-bonn.de/uploads/svbrdfs/APPBENCH/html/videos/mat0396.webp)\r\n\r\n![](https://cg.cs.uni-bonn.de/uploads/svbrdfs/APPBENCH/html/videos/mat0413.webp)\r\n![](https://cg.cs.uni-bonn.de/uploads/svbrdfs/APPBENCH/html/videos/mat0410.webp)\r\n\r\nMeasurement HDR images are provided in OpenEXR format\r\n\r\n![](https://cg.cs.uni-bonn.de/uploads/svbrdfs/APPBENCH/html/img/mat0386_inputs.png)\r\n\r\nSVBRDF fits are provided in X-Rite AxF format\r\n\r\n![](https://cg.cs.uni-bonn.de/uploads/svbrdfs/APPBENCH/html/img/mat0386_labels.png)\r\n\r\nFurther geometric and radiometric calibration data is available as well.","description_withheld":null,"homepage":"https://cg.cs.uni-bonn.de/en/projects/svbrdf-database-bonn/appbench/","introduced_date":"2020-05-31","introduced_date_note":null,"introduced_by":{"paper":"/paper/fabric-appearance-benchmark","title":"Fabric Appearance Benchmark","first_author":"Sebastian Merzbach and Reinhard Klein","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["APPBENCH"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}