{"url":"/dataset/ntire-2021-hdr","name":"NTIRE 2021 HDR","full_name":null,"description_markdown":"The **NTIRE 2021 HDR** was built for the first challenge on high-dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2021. The challenge aims at estimating a HDR image from one or multiple respective low-dynamic range (LDR) observations, which might suffer from under- or over-exposed regions and different sources of noise. The challenge is composed by two tracks: In Track 1 only a single LDR image is provided as input, whereas in Track 2 three differently-exposed LDR images with inter-frame motion are available. In both tracks, the ultimate goal is to achieve the best objective HDR reconstruction in terms of PSNR with respect to a ground-truth image, evaluated both directly and with a canonical tone mapping operation.","description_withheld":null,"homepage":"https://data.vision.ee.ethz.ch/cvl/ntire21/","introduced_date":"2021-06-02","introduced_date_note":null,"introduced_by":{"paper":"/paper/ntire-2021-challenge-on-high-dynamic-range","title":"NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results","first_author":"Eduardo Pérez-Pellitero","url":null},"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Single-Image-Based Hdr Reconstruction","url":"/task/single-image-based-hdr-reconstruction","datasets_with_task":"/datasets/task/single-image-based-hdr-reconstruction"}],"languages":[],"variants":["NTIRE 2021 HDR"],"data_loaders":[{"repo":"https://github.com/chxy95/HDRUNet","url":"https://competitions.codalab.org/competitions/28161#participate-get-data","frameworks":["pytorch"]},{"repo":"https://github.com/chxy95/HDRUNet","url":"https://github.com/chxy95/HDRUNet","frameworks":["pytorch"]}],"num_papers_in_archive":5,"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."}