{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/deblurring/papers/ran/2","list_of":"/task/deblurring","task":"Deblurring","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"ran","order_definition":"only papers where Syntology ran at least one harvested sample; date (newest first), ties by arXiv id","caption":"We ran code from the paper's repository; we did not run it on this task or check it against the task's benchmarks.","absence":"A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.","page":2,"pages_in_order":2,"rows_per_page":100,"rows":[101,115],"of":115,"counts":{"archive_papers_tagged":999,"with_a_code_link":424,"where_syntology_ran_a_sample":115,"not_listed_spam_title":0,"listed":999,"listed_where_code_ran":115,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":103,"every_run_a_failure_of_syntologys_instrument":12,"listed_with_a_run_with_no_instrument_failure":103,"listed_every_run_a_failure_of_syntologys_instrument":12,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/deblurring/papers/ran/1","prev":"/task/deblurring/papers/ran/1","next":null,"papers":[{"url":"/paper/plug-and-play-image-restoration-with-deep","slug":"plug-and-play-image-restoration-with-deep","title":"Plug-and-Play Image Restoration with Deep Denoiser Prior","date":"2020-08-31","arxiv_id":"2008.13751","repositories_listed":4,"syntology":{"n":28,"n_ran":18,"n_constructed":0,"n_ran_checked":17,"n_instrument":1,"n_unverified":10,"n_honours":0,"n_violates":0,"n_no_contract":17,"n_pointer_only":3,"phrase":"18 ran (of which 0 constructed an object rather than computing a result; 17 with no instrument failure: 0 honoured, 0 violated, 17 with no contract checked; 1 where Syntology's instrument failed) · 10 unverified","sample_list":"/paper/plug-and-play-image-restoration-with-deep#ran","syntology_url":"https://syntology.ai/paper/2008.13751","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2008.13751"}},"official":{"repos":["cszn/DPIR"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/learned-convex-regularizers-for-inverse","slug":"learned-convex-regularizers-for-inverse","title":"Learned convex regularizers for inverse problems","date":"2020-08-06","arxiv_id":"2008.02839","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/learned-convex-regularizers-for-inverse#ran","syntology_url":"https://syntology.ai/paper/2008.02839","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2008.02839"}},"official":null}},{"url":"/paper/end-to-end-interpretable-learning-of-non","slug":"end-to-end-interpretable-learning-of-non","title":"End-to-end Interpretable Learning of Non-blind Image Deblurring","date":"2020-07-03","arxiv_id":"2007.01769","repositories_listed":1,"syntology":{"n":8,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/end-to-end-interpretable-learning-of-non#ran","syntology_url":"https://syntology.ai/paper/2007.01769","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2007.01769"}},"official":{"repos":["teboli/CPCR"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/a-comparative-study-of-image-quality","slug":"a-comparative-study-of-image-quality","title":"Comparison of Image Quality Models for Optimization of Image Processing Systems","date":"2020-05-04","arxiv_id":"2005.01338","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"2 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/a-comparative-study-of-image-quality#ran","syntology_url":"https://syntology.ai/paper/2005.01338","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2005.01338"}},"official":{"repos":["dingkeyan93/IQA-optimization"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/defocus-deblurring-using-dual-pixel-data","slug":"defocus-deblurring-using-dual-pixel-data","title":"Defocus Deblurring Using Dual-Pixel Data","date":"2020-05-01","arxiv_id":"2005.00305","repositories_listed":1,"syntology":{"n":6,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/defocus-deblurring-using-dual-pixel-data#ran","syntology_url":"https://syntology.ai/paper/2005.00305","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2005.00305"}},"official":{"repos":["Abdullah-Abuolaim/defocus-deblurring-dual-pixel"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/cascaded-deep-video-deblurring-using-temporal","slug":"cascaded-deep-video-deblurring-using-temporal","title":"Cascaded Deep Video Deblurring Using Temporal Sharpness Prior","date":"2020-04-06","arxiv_id":"2004.02501","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":4,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":6,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/cascaded-deep-video-deblurring-using-temporal#ran","syntology_url":"https://syntology.ai/paper/2004.02501","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2004.02501"}},"official":{"repos":["csbhr/CDVD-TSP"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/deep-video-deblurring-the-devil-is-in-the","slug":"deep-video-deblurring-the-devil-is-in-the","title":"Deep Video Deblurring: The Devil is in the Details","date":"2019-09-26","arxiv_id":"1909.12196","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/deep-video-deblurring-the-devil-is-in-the#ran","syntology_url":"https://syntology.ai/paper/1909.12196","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1909.12196"}},"official":null}},{"url":"/paper/deblurring-face-images-using-uncertainty","slug":"deblurring-face-images-using-uncertainty","title":"Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks","date":"2019-07-30","arxiv_id":"1907.13106","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":0,"n_instrument":3,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/deblurring-face-images-using-uncertainty#ran","syntology_url":"https://syntology.ai/paper/1907.13106","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1907.13106"}},"official":{"repos":["rajeevyasarla/UMSN-Face-Deblurring"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/edvr-video-restoration-with-enhanced","slug":"edvr-video-restoration-with-enhanced","title":"EDVR: Video Restoration with Enhanced Deformable Convolutional Networks","date":"2019-05-07","arxiv_id":"1905.02716","repositories_listed":11,"syntology":{"n":19,"n_ran":15,"n_constructed":0,"n_ran_checked":12,"n_instrument":3,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":12,"n_pointer_only":5,"phrase":"15 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 3 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/edvr-video-restoration-with-enhanced#ran","syntology_url":"https://syntology.ai/paper/1905.02716","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1905.02716"}},"official":{"repos":["xinntao/EDVR"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]}}},{"url":"/paper/spatio-temporal-filter-adaptive-network-for","slug":"spatio-temporal-filter-adaptive-network-for","title":"Spatio-Temporal Filter Adaptive Network for Video Deblurring","date":"2019-04-28","arxiv_id":"1904.12257","repositories_listed":1,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":6,"n_pointer_only":4,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 1 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/spatio-temporal-filter-adaptive-network-for#ran","syntology_url":"https://syntology.ai/paper/1904.12257","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.12257"}},"official":null}},{"url":"/paper/davanet-stereo-deblurring-with-view","slug":"davanet-stereo-deblurring-with-view","title":"DAVANet: Stereo Deblurring with View Aggregation","date":"2019-04-10","arxiv_id":"1904.05065","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":0,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/davanet-stereo-deblurring-with-view#ran","syntology_url":"https://syntology.ai/paper/1904.05065","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.05065"}},"official":null}},{"url":"/paper/learning-to-see-in-the-dark","slug":"learning-to-see-in-the-dark","title":"Learning to See in the Dark","date":"2018-05-04","arxiv_id":"1805.01934","repositories_listed":19,"syntology":{"n":14,"n_ran":8,"n_constructed":0,"n_ran_checked":7,"n_instrument":1,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":3,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/learning-to-see-in-the-dark#ran","syntology_url":"https://syntology.ai/paper/1805.01934","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1805.01934"}},"official":null}},{"url":"/paper/blind-image-deconvolution-using-deep","slug":"blind-image-deconvolution-using-deep","title":"Blind Image Deconvolution using Deep Generative Priors","date":"2018-02-12","arxiv_id":"1802.04073","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":0,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 1 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/blind-image-deconvolution-using-deep#ran","syntology_url":"https://syntology.ai/paper/1802.04073","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1802.04073"}},"official":null}},{"url":"/paper/dirty-pixels-optimizing-image-classification","slug":"dirty-pixels-optimizing-image-classification","title":"Dirty Pixels: Towards End-to-End Image Processing and Perception","date":"2017-01-23","arxiv_id":"1701.06487","repositories_listed":1,"syntology":{"n":7,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/dirty-pixels-optimizing-image-classification#ran","syntology_url":"https://syntology.ai/paper/1701.06487","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1701.06487"}},"official":{"repos":["princeton-computational-imaging/DirtyPixels"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/deep-multi-scale-convolutional-neural-network","slug":"deep-multi-scale-convolutional-neural-network","title":"Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring","date":"2016-12-07","arxiv_id":"1612.02177","repositories_listed":1,"syntology":{"n":11,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/deep-multi-scale-convolutional-neural-network#ran","syntology_url":"https://syntology.ai/paper/1612.02177","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1612.02177"}},"official":{"repos":["SeungjunNah/DeepDeblur-PyTorch"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":3,"ran_from_kinds":["official"]}}}],"record_sha256":"d08abd4397511e33bc42ad4b305760031979b7df70f70bdc6d4e1ddbfc72aa1b","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}