{"url":"/dataset/x3d","name":"X3D","full_name":null,"description_markdown":"X3D is a dataset containing 15 scenes and covering 4 applications for X-ray 3D reconstruction. More specifically, the X3D dataset includes the scenes of \r\n(1) medicine: jaw, leg, chest, foot, abdomen, aneurism, pelvis, pancreas, head\r\n(2) biology: carp, bonsai\r\n(3) security: box, backpack\r\n(4) industry: engine, teapot\r\n\r\nTwo main tasks can be evaluated, i.e.,\r\n(1) Novel View Synthesis\r\n(2) CT Reconstruction","description_withheld":null,"homepage":"https://github.com/caiyuanhao1998/SAX-NeRF","introduced_date":"2023-11-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/structure-aware-sparse-view-x-ray-3d","title":"Structure-Aware Sparse-View X-ray 3D Reconstruction","first_author":"Yuanhao Cai","url":null},"license":{"name":"None","url":"https://github.com/caiyuanhao1998/SAX-NeRF"},"modalities":[],"tasks":[{"name":"Novel View Synthesis","url":"/task/novel-view-synthesis","datasets_with_task":"/datasets/task/novel-view-synthesis"},{"name":"3D Object Reconstruction","url":"/task/3d-object-reconstruction","datasets_with_task":"/datasets/task/3d-object-reconstruction"},{"name":"Low-Dose X-Ray Ct Reconstruction","url":"/task/low-dose-x-ray-ct-reconstruction","datasets_with_task":"/datasets/task/low-dose-x-ray-ct-reconstruction"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["X3D"],"data_loaders":[{"repo":"https://github.com/Skoltech-3D/sk3d_data","url":"https://github.com/Skoltech-3D/sk3d_data","frameworks":[]}],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/low-dose-x-ray-ct-reconstruction-on-x3d","task":"Low-Dose X-Ray Ct Reconstruction","dataset_variant":"X3D","rows":9,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"SAX-NeRF","paper":"/paper/structure-aware-sparse-view-x-ray-3d","metrics":{"PSNR":"37.25","SSIM":"0.9753"},"code_links":[{"title":"cmhungsteve/Awesome-Transformer-Attention","url":"https://github.com/cmhungsteve/Awesome-Transformer-Attention"},{"title":"caiyuanhao1998/sax-nerf","url":"https://github.com/caiyuanhao1998/sax-nerf"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/novel-view-synthesis-on-x3d","task":"Novel View Synthesis","dataset_variant":"X3D","rows":6,"metrics":["PSNR","SSIM"],"first_row_in_archive_order":{"model":"SAX-NeRF","paper":"/paper/structure-aware-sparse-view-x-ray-3d","metrics":{"PSNR":"51.37","SSIM":"0.9994"},"code_links":[{"title":"cmhungsteve/Awesome-Transformer-Attention","url":"https://github.com/cmhungsteve/Awesome-Transformer-Attention"},{"title":"caiyuanhao1998/sax-nerf","url":"https://github.com/caiyuanhao1998/sax-nerf"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/structure-aware-sparse-view-x-ray-3d","title":"Structure-Aware Sparse-View X-ray 3D Reconstruction","date":"2023-11-18","rows_on_this_dataset":5,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":3,"samples_ran":3,"samples_unverified":0,"pointer_only_for_licence":1,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/naf-neural-attenuation-fields-for-sparse-view","title":"NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction","date":"2022-09-29","rows_on_this_dataset":2,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":0,"samples_unverified":11,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/tensorf-tensorial-radiance-fields","title":"TensoRF: Tensorial Radiance Fields","date":"2022-03-17","rows_on_this_dataset":2,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":1,"samples_ran":0,"samples_unverified":1,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/neat-neural-adaptive-tomography","title":"NeAT: Neural Adaptive Tomography","date":"2022-02-04","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/neat-neural-attention-fields-for-end-to-end","title":"NEAT: Neural Attention Fields for End-to-End Autonomous Driving","date":"2021-09-09","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":2,"samples_ran":0,"samples_unverified":2,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/intratomo-self-supervised-learning-based","title":"IntraTomo: Self-Supervised Learning-Based Tomography via Sinogram Synthesis and Prediction","date":"2021-01-01","rows_on_this_dataset":2,"code_links":1,"syntology":null},{"paper":"/paper/nerf-representing-scenes-as-neural-radiance","title":"NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis","date":"2020-03-19","rows_on_this_dataset":2,"code_links":37,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":56,"samples_ran":22,"samples_unverified":34,"pointer_only_for_licence":4,"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":5,"samples_harvested":73,"samples_ran":25,"samples_unverified":48,"pointer_only_for_licence":5,"papers_with_no_sample_that_ran":3,"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."}