{"url":"/dataset/multiface","name":"Multiface","full_name":null,"description_markdown":"**Multiface** consists of high quality recordings of the faces of 13 identities, each captured in a multi-view capture stage performing various facial expressions. An average of 12,200 (v1 scripts) to 23,000 (v2 scripts) frames per subject with capture rate at 30 fps. Each frame includes roughly 40 (v1) to 160 (v2) different camera views under uniform illumination, yielding a total dataset size of 65TB. \r\n\r\nThe dataset provides the raw captured images from each camera view at a resolution of 2048 × 1334 pixels, tracked meshes including headposes, unwrapped textures at 1024 × 1024 pixels, metadata including intrinsic and extrinsic camera calibrations, and audio.","description_withheld":null,"homepage":"https://github.com/facebookresearch/multiface","introduced_date":"2022-07-22","introduced_date_note":null,"introduced_by":{"paper":"/paper/multiface-a-dataset-for-neural-face-rendering","title":"Multiface: A Dataset for Neural Face Rendering","first_author":"Cheng-hsin Wuu","url":null},"license":{"name":"CC-BY-NC 4.0","url":"https://github.com/facebookresearch/multiface#license"},"modalities":[],"tasks":[],"languages":[],"variants":["Multiface"],"data_loaders":[],"num_papers_in_archive":29,"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."}