{"url":"/dataset/shapenet-intrinsic-images-v1-0","name":"ShapeNet Intrinsic Images v1.0","full_name":null,"description_markdown":"The synthetic ShapeNet intrinsic image decomposition dataset used for training the deep CNN models IntrinsicNet and RetiNet of CVPR2018. See Section 4.1 of the paper for details.","description_withheld":null,"homepage":"https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/RDQOTS","introduced_date":"2017-12-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/cnn-based-learning-using-reflection-and","title":"CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition","first_author":"Anil S. Baslamisli","url":null},"license":{"name":"CC BY","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Intrinsic Image Decomposition","url":"/task/intrinsic-image-decomposition","datasets_with_task":"/datasets/task/intrinsic-image-decomposition"}],"languages":[],"variants":["ShapeNet Intrinsic Images v1.0"],"data_loaders":[],"num_papers_in_archive":2,"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."}