{"url":"/dataset/kitti360-ex","name":"KITTI360-EX","full_name":null,"description_markdown":"**KITTI360-EX** is a dataset for outer- and inner FoV expansion. It contains 76k pinhole images as well as 76k spherical images and is used for beyond-FoV estimation.\r\n\r\nSource: [FlowLens: Seeing Beyond the FoV via Flow-guided Clip-Recurrent Transformer](https://arxiv.org/pdf/2211.11293v1.pdf)\r\n\r\nImage Source: [https://arxiv.org/pdf/2211.11293v1.pdf](https://arxiv.org/pdf/2211.11293v1.pdf)","description_withheld":null,"homepage":"https://github.com/MasterHow/FlowLens","introduced_date":"2022-11-21","introduced_date_note":null,"introduced_by":{"paper":"/paper/flowlens-seeing-beyond-the-fov-via-flow","title":"Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer","first_author":"Hao Shi","url":null},"license":{"name":"MIT License","url":"https://github.com/MasterHow/FlowLens/blob/main/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Video Inpainting","url":"/task/video-inpainting","datasets_with_task":"/datasets/task/video-inpainting"},{"name":"Seeing Beyond the Visible","url":"/task/seeing-beyond-the-visible","datasets_with_task":"/datasets/task/seeing-beyond-the-visible"}],"languages":[],"variants":["KITTI360-EX"],"data_loaders":[],"num_papers_in_archive":7,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/seeing-beyond-the-visible-on-kitti360-ex","task":"Seeing Beyond the Visible","dataset_variant":"KITTI360-EX","rows":7,"metrics":["Average PSNR"],"first_row_in_archive_order":{"model":"FlowLens","paper":"/paper/flowlens-seeing-beyond-the-fov-via-flow","metrics":{"Average PSNR":"20.50"},"code_links":[{"title":"masterhow/flowlens","url":"https://github.com/masterhow/flowlens"},{"title":"masterhow/fishdreamer","url":"https://github.com/masterhow/fishdreamer"},{"title":"zhonghuayi/focusflow_official","url":"https://github.com/zhonghuayi/focusflow_official"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/flowlens-seeing-beyond-the-fov-via-flow","title":"Beyond the Field-of-View: Enhancing Scene Visibility and Perception with Clip-Recurrent Transformer","date":"2022-11-21","rows_on_this_dataset":1,"code_links":3,"syntology":null},{"paper":"/paper/reduce-information-loss-in-transformers-for","title":"Reduce Information Loss in Transformers for Pluralistic Image Inpainting","date":"2022-05-10","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/towards-an-end-to-end-framework-for-flow","title":"Towards An End-to-End Framework for Flow-Guided Video Inpainting","date":"2022-04-06","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":6,"samples_ran":5,"samples_unverified":1,"pointer_only_for_licence":6,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/resolution-robust-large-mask-inpainting-with","title":"Resolution-robust Large Mask Inpainting with Fourier Convolutions","date":"2021-09-15","rows_on_this_dataset":1,"code_links":8,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":0,"samples_unverified":4,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/fuseformer-fusing-fine-grained-information-in","title":"FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting","date":"2021-09-07","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":11,"samples_ran":10,"samples_unverified":1,"pointer_only_for_licence":11,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/learning-joint-spatial-temporal","title":"Learning Joint Spatial-Temporal Transformations for Video Inpainting","date":"2020-07-20","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":7,"samples_ran":1,"samples_unverified":6,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/wide-context-semantic-image-extrapolation","title":"Wide-Context Semantic Image Extrapolation","date":"2019-06-01","rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":4,"samples_harvested":28,"samples_ran":16,"samples_unverified":12,"pointer_only_for_licence":17,"papers_with_no_sample_that_ran":1,"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."}