{"url":"/dataset/doc3dshade","name":"Doc3DShade","full_name":null,"description_markdown":"Doc3DShade extends Doc3D with realistic lighting and shading. Follows a similar synthetic rendering procedure using captured document 3D shapes but final image generation step combines real shading of different types of paper materials under numerous illumination conditions.\r\n\r\nSource: [Doc3DShade](https://github.com/cvlab-stonybrook/DocIIW)","description_withheld":null,"homepage":"https://github.com/cvlab-stonybrook/DocIIW","introduced_date":"2020-11-29","introduced_date_note":null,"introduced_by":{"paper":"/paper/intrinsic-decomposition-of-document-images-in","title":"Intrinsic Decomposition of Document Images In-the-Wild","first_author":"Sagnik Das","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Optical Character Recognition (OCR)","url":"/task/optical-character-recognition","datasets_with_task":"/datasets/task/optical-character-recognition"},{"name":"Shadow Removal","url":"/task/shadow-removal","datasets_with_task":"/datasets/task/shadow-removal"},{"name":"Intrinsic Image Decomposition","url":"/task/intrinsic-image-decomposition","datasets_with_task":"/datasets/task/intrinsic-image-decomposition"}],"languages":[],"variants":["Doc3DShade"],"data_loaders":[{"repo":"https://github.com/cvlab-stonybrook/DocIIW","url":"https://github.com/cvlab-stonybrook/DocIIW","frameworks":[]}],"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."}