{"url":"/dataset/wrv2","name":"WRV2","full_name":"Wire Removal Video Datasets 2","description_markdown":"The WRV2 dataset is meticulously assembled to support developing and evaluating video inpainting algorithms aimed specifically at wire removal. This challenging task is critical for enhancing visual aesthetics in various scenes.","description_withheld":null,"homepage":"https://github.com/Suyimu/WRV2","introduced_date":"2024-04-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/raformer-redundancy-aware-transformer-for","title":"Raformer: Redundancy-Aware Transformer for Video Wire Inpainting","first_author":"Zhong Ji","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["WRV2"],"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."}