{"url":"/dataset/now-benchmark","name":"NoW Benchmark","full_name":null,"description_markdown":"The goal of this benchmark is to introduce a standard evaluation metric to measure the accuracy and robustness of 3D face reconstruction methods under variations in viewing angle, lighting, and common occlusions. \r\n\r\nThe dataset contains 2054 2D images of 100 subjects, captured with an iPhone X, and a separate 3D head scan for each subject. This head scan serves as ground truth for the evaluation. The subjects are selected to contain variations in age, BMI, and sex (55 female, 45 male).","description_withheld":null,"homepage":"https://now.is.tue.mpg.de/index.html","introduced_date":"2019-05-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-to-regress-3d-face-shape-and","title":"Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision","first_author":"Soubhik Sanyal","url":null},"license":{"name":"Custom","url":"https://github.com/soubhiksanyal/now_evaluation#license"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"3d meshes","url":"/datasets/modality/3d-meshes"}],"tasks":[{"name":"3D Face Reconstruction","url":"/task/3d-face-reconstruction","datasets_with_task":"/datasets/task/3d-face-reconstruction"}],"languages":[],"variants":["NoW Benchmark"],"data_loaders":[{"repo":"https://github.com/soubhiksanyal/now_evaluation","url":"https://github.com/soubhiksanyal/now_evaluation","frameworks":[]}],"num_papers_in_archive":27,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/3d-face-reconstruction-on-now-benchmark-1","task":"3D Face Reconstruction","dataset_variant":"NoW Benchmark","rows":17,"metrics":["Median Reconstruction Error","Mean Reconstruction Error (mm)","Stdev Reconstruction Error (mm)"],"first_row_in_archive_order":{"model":"DenseLandmarks (Multi-view)","paper":"/paper/3d-face-reconstruction-with-dense-landmarks","metrics":{"Mean Reconstruction Error (mm)":"1.01","Median Reconstruction Error":"0.81","Stdev Reconstruction Error (mm)":"0.84"},"code_links":[]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/towards-metrical-reconstruction-of-human","title":"Towards Metrical Reconstruction of Human Faces","date":"2022-04-13","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/3d-face-reconstruction-with-dense-landmarks","title":"3D face reconstruction with dense landmarks","date":"2022-04-06","rows_on_this_dataset":2,"code_links":0,"syntology":null},{"paper":"/paper/synergy-between-3dmm-and-3d-landmarks-for","title":"Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry","date":"2021-10-19","rows_on_this_dataset":1,"code_links":4,"syntology":null},{"paper":"/paper/to-fit-or-not-to-fit-model-based-face","title":"Robust Model-based Face Reconstruction through Weakly-Supervised Outlier Segmentation","date":"2021-06-17","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/collaborative-regression-of-expressive-bodies","title":"Collaborative Regression of Expressive Bodies using Moderation","date":"2021-05-11","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/towards-high-fidelity-monocular-face","title":"Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing","date":"2021-03-29","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/learning-an-animatable-detailed-3d-face-model","title":"Learning an Animatable Detailed 3D Face Model from In-The-Wild Images","date":"2020-12-07","rows_on_this_dataset":1,"code_links":2,"syntology":null},{"paper":"/paper/towards-fast-accurate-and-stable-3d-dense-1","title":"Towards Fast, Accurate and Stable 3D Dense Face Alignment","date":"2020-09-21","rows_on_this_dataset":1,"code_links":3,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":6,"samples_unverified":4,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/look-ma-no-landmarks-unsupervised-model-based","title":"“Look Ma, no landmarks!” – Unsupervised, Model-based Dense Face Alignment","date":"2020-08-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/self-supervised-monocular-3d-face","title":"Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency","date":"2020-07-24","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":16,"samples_ran":0,"samples_unverified":16,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-to-regress-3d-face-shape-and","title":"Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision","date":"2019-05-16","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":0,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/accurate-3d-face-reconstruction-with-weakly","title":"Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set","date":"2019-03-20","rows_on_this_dataset":2,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":36,"samples_ran":11,"samples_unverified":25,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/joint-3d-face-reconstruction-and-dense","title":"Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network","date":"2018-03-21","rows_on_this_dataset":1,"code_links":4,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":10,"samples_ran":0,"samples_unverified":10,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-a-model-of-facial-shape-and","title":"Learning a model of facial shape and expression from 4D scans","date":"2017-11-01","rows_on_this_dataset":1,"code_links":9,"syntology":null},{"paper":"/paper/regressing-robust-and-discriminative-3d","title":"Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network","date":"2016-12-15","rows_on_this_dataset":1,"code_links":5,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":5,"samples_harvested":78,"samples_ran":17,"samples_unverified":61,"pointer_only_for_licence":3,"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."}