{"url":"/dataset/donerf-evaluation-dataset","name":"DONeRF: Evaluation Dataset","full_name":null,"description_markdown":"This is the dataset for the CGF 2021 paper \"DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks\".\n\nPlease note the original creators of the individual 3D scenes themselves (individual license files can be found in the individual .zip archives in the dataset):\n\nBulldozer by \"Heinzelnisse\" (CC-BY-NC): https://www.blendswap.com/blend/11490\n\nForest by Robin Tran (CC-BY-SA 3.0): https://cloud.blender.org/p/gallery/5fbd186ec57d586577c57417\n\nClassroom by Christophe Seux (CC-0): https://download.blender.org/demo/test/classroom.zip\n\nSan Miguel by Guillermo M. Leal Llaguno (CC-BY 3.0): https://casual-effects.com/g3d/data10/index.html#\n\nPavillon by Hamza Cheggour / \"eMirage\" (CC-BY): https://download.blender.org/demo/test/pabellon_barcelona_v1.scene_.zip\n\nBarbershop by Blender Animation Studio (CC-BY): https://svn.blender.org/svnroot/bf-blender/trunk/lib/benchmarks/cycles/barbershop_interior/","description_withheld":null,"homepage":"https://repository.tugraz.at/records/jjs3x-4f133","introduced_date":"2021-07-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/donerf-towards-real-time-rendering-of-neural","title":"DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks","first_author":"Thomas Neff","url":null},"license":{"name":"CC-BY 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"RGB-D","url":"/datasets/modality/rgb-d"}],"tasks":[{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"},{"name":"Neural Rendering","url":"/task/neural-rendering","datasets_with_task":"/datasets/task/neural-rendering"}],"languages":[],"variants":["DONeRF: Evaluation Dataset"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/novel-view-synthesis-on-donerf-evaluation","task":"Novel View Synthesis","dataset_variant":"DONeRF: Evaluation Dataset","rows":6,"metrics":["PSNR"],"first_row_in_archive_order":{"model":"HyperReel","paper":"/paper/hyperreel-high-fidelity-6-dof-video-with-ray","metrics":{"PSNR":"35.1"},"code_links":[{"title":"facebookresearch/hyperreel","url":"https://github.com/facebookresearch/hyperreel"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/hyperreel-high-fidelity-6-dof-video-with-ray","title":"HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling","date":"2023-01-05","rows_on_this_dataset":6,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":7,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":11,"samples_ran":7,"samples_unverified":4,"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."}