{"url":"/dataset/alpix-vsr","name":"ALPIX-VSR","full_name":"Dataset","description_markdown":"we collected a new real-world dataset, called ALPIXVSR, using a ALPIX-Eiger event camera1\r\n. The camera outputs well aligned RGB frames and events. The RGB frames\r\nenjoy a resolution of 3264 × 2448 and are generated by a\r\ncarefully designed image signal processor(ISP) from RAW\r\ndata with the Quad Bayer pattern , and the events have\r\na resolution with 1632 × 1224.\r\n\r\nhttps: //vlis2022.github.io/cvpr23/egvsr","description_withheld":null,"homepage":"","introduced_date":"2023-03-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-spatial-temporal-implicit-neural","title":"Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution","first_author":"Yunfan Lu","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["ALPIX-VSR"],"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."}