{"url":"/dataset/rgb-d-d","name":"RGB-D-D","full_name":null,"description_markdown":"**RGB-D-D** is a large-scale dataset for depth map super-resolution (SR). It consists of real-world paired low-resolution (LR) and high-resolution (HR) depth maps. The paired LR and HR depth maps are captured from mobile phone and Lucid Helios respectively ranging from indoor scenes to challenging outdoor scenes.","description_withheld":null,"homepage":"http://mepro.bjtu.edu.cn/resource.html","introduced_date":"2021-04-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/towards-fast-and-accurate-real-world-depth","title":"Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline","first_author":"Lingzhi He","url":null},"license":{"name":"Custom (non-commercial)","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Depth Map Super-Resolution","url":"/task/depth-map-super-resolution","datasets_with_task":"/datasets/task/depth-map-super-resolution"}],"languages":[],"variants":["RGB-D-D"],"data_loaders":[],"num_papers_in_archive":11,"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."}