{"url":"/dataset/world-across-time","name":"World Across Time","full_name":null,"description_markdown":"The **World Across Time (WAT)** dataset used in paper \"CLNeRF: Continual Learning Meets NeRF\". It contains multiple colmap reconstructed scenes used for continual learning of NeRFs. For each scene, we provide multiple scans captured at different time where the same scene has different appearance and geometry conditions.","description_withheld":null,"homepage":"https://huggingface.co/datasets/IntelLabs/WAT-WorldAcrossTime","introduced_date":"2023-08-28","introduced_date_note":null,"introduced_by":{"paper":"/paper/clnerf-continual-learning-meets-nerf","title":"CLNeRF: Continual Learning Meets NeRF","first_author":"Zhipeng Cai","url":null},"license":{"name":"CC BY-NC 4.0","url":"https://huggingface.co/datasets?license=license%3Acc-by-nc-4.0"},"modalities":[],"tasks":[],"languages":[],"variants":["World Across Time"],"data_loaders":[],"num_papers_in_archive":1,"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."}