{"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":"/dataset/places/papers/ran/1","list_of":"/dataset/places","dataset":"Places","archive":{"snapshot":"2025-07-28"},"syntology_read_at":"2026-09-28T10:30:06+00:00","key_notes":{"samples_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'","samples_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)"},"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 dataset or check it against this dataset'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.","population":"every paper with a leaderboard row on this dataset's benchmarks (the benchmark-backed subset): the archive's own papers-using-this-dataset list was never published, so this is not that list; num_papers_in_archive is the archive's own count","page":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,9],"of":9,"counts":{"papers_with_a_benchmark_row":22,"with_a_code_link":21,"where_syntology_ran_a_sample":9,"not_listed_spam_title":0,"listed":22,"listed_where_code_ran":9,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":9,"every_run_a_failure_of_syntologys_instrument":0,"listed_with_a_run_with_no_instrument_failure":9,"listed_every_run_a_failure_of_syntologys_instrument":0,"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 with at least one leaderboard row on this dataset's benchmarks; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/dataset/places/papers/ran/1","prev":null,"next":null,"papers":[{"paper":"/paper/towards-stable-and-faithful-inpainting","slug":"towards-stable-and-faithful-inpainting","title":"Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency","date":"2023-12-08","arxiv_id":"2312.04831","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":17,"samples_ran":13,"samples_constructed":0,"samples_ran_checked":10,"samples_ran_instrument_failed":3,"samples_unverified":4,"pointer_only_for_licence":17,"official":{"repos":["yikai-wang/asuka-misato"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":4,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/towards-stable-and-faithful-inpainting#ran","syntology_url":"https://syntology.ai/paper/2312.04831","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.04831"}}}},{"paper":"/paper/palette-image-to-image-diffusion-models-1","slug":"palette-image-to-image-diffusion-models-1","title":"Palette: Image-to-Image Diffusion Models","date":"2021-11-10","arxiv_id":"2111.05826","rows_on_this_dataset":3,"code_links":5,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":3,"samples_ran":2,"samples_constructed":0,"samples_ran_checked":1,"samples_ran_instrument_failed":1,"samples_unverified":1,"pointer_only_for_licence":3,"official":null,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/palette-image-to-image-diffusion-models-1#ran","syntology_url":"https://syntology.ai/paper/2111.05826","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2111.05826"}}}},{"paper":"/paper/resolution-robust-large-mask-inpainting-with","slug":"resolution-robust-large-mask-inpainting-with","title":"Resolution-robust Large Mask Inpainting with Fourier Convolutions","date":"2021-09-15","arxiv_id":"2109.07161","rows_on_this_dataset":1,"code_links":8,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":4,"samples_ran":3,"samples_constructed":0,"samples_ran_checked":3,"samples_ran_instrument_failed":0,"samples_unverified":1,"pointer_only_for_licence":0,"official":{"repos":["saic-mdal/lama"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/resolution-robust-large-mask-inpainting-with#ran","syntology_url":"https://syntology.ai/paper/2109.07161","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2109.07161"}}}},{"paper":"/paper/aggregated-contextual-transformations-for","slug":"aggregated-contextual-transformations-for","title":"Aggregated Contextual Transformations for High-Resolution Image Inpainting","date":"2021-04-03","arxiv_id":"2104.01431","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":8,"samples_ran":7,"samples_constructed":0,"samples_ran_checked":7,"samples_ran_instrument_failed":0,"samples_unverified":1,"pointer_only_for_licence":0,"official":{"repos":["researchmm/AOT-GAN-for-Inpainting"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/aggregated-contextual-transformations-for#ran","syntology_url":"https://syntology.ai/paper/2104.01431","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.01431"}}}},{"paper":"/paper/contextual-residual-aggregation-for-ultra","slug":"contextual-residual-aggregation-for-ultra","title":"Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting","date":"2020-05-19","arxiv_id":"2005.09704","rows_on_this_dataset":3,"code_links":6,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":9,"samples_ran":5,"samples_constructed":0,"samples_ran_checked":3,"samples_ran_instrument_failed":2,"samples_unverified":4,"pointer_only_for_licence":0,"official":{"repos":["Atlas200dk/sample-imageinpainting-HiFill"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/contextual-residual-aggregation-for-ultra#ran","syntology_url":"https://syntology.ai/paper/2005.09704","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2005.09704"}}}},{"paper":"/paper/cross-domain-few-shot-classification-via-1","slug":"cross-domain-few-shot-classification-via-1","title":"Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation","date":"2020-01-23","arxiv_id":"2001.08735","rows_on_this_dataset":1,"code_links":1,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":2,"samples_ran":2,"samples_constructed":0,"samples_ran_checked":1,"samples_ran_instrument_failed":1,"samples_unverified":0,"pointer_only_for_licence":2,"official":{"repos":["hytseng0509/CrossDomainFewShot"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/cross-domain-few-shot-classification-via-1#ran","syntology_url":"https://syntology.ai/paper/2001.08735","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2001.08735"}}}},{"paper":"/paper/a-new-benchmark-for-evaluation-of-cross","slug":"a-new-benchmark-for-evaluation-of-cross","title":"A Broader Study of Cross-Domain Few-Shot Learning","date":"2019-12-16","arxiv_id":"1912.07200","rows_on_this_dataset":1,"code_links":2,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":7,"samples_ran":6,"samples_constructed":0,"samples_ran_checked":5,"samples_ran_instrument_failed":1,"samples_unverified":1,"pointer_only_for_licence":3,"official":null,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/a-new-benchmark-for-evaluation-of-cross#ran","syntology_url":"https://syntology.ai/paper/1912.07200","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1912.07200"}}}},{"paper":"/paper/edgeconnect-generative-image-inpainting-with","slug":"edgeconnect-generative-image-inpainting-with","title":"EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning","date":"2019-01-01","arxiv_id":"1901.00212","rows_on_this_dataset":1,"code_links":20,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":4,"samples_ran":4,"samples_constructed":0,"samples_ran_checked":4,"samples_ran_instrument_failed":0,"samples_unverified":0,"pointer_only_for_licence":4,"official":{"repos":["knazeri/edge-connect"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/edgeconnect-generative-image-inpainting-with#ran","syntology_url":"https://syntology.ai/paper/1901.00212","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1901.00212"}}}},{"paper":"/paper/free-form-image-inpainting-with-gated","slug":"free-form-image-inpainting-with-gated","title":"Free-Form Image Inpainting with Gated Convolution","date":"2018-06-10","arxiv_id":"1806.03589","rows_on_this_dataset":3,"code_links":30,"syntology":{"read_at":"2026-09-28T10:30:06+00:00","samples_harvested":7,"samples_ran":7,"samples_constructed":0,"samples_ran_checked":6,"samples_ran_instrument_failed":1,"samples_unverified":0,"pointer_only_for_licence":1,"official":{"repos":["JiahuiYu/generative_inpainting"],"state":"community repositories only","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed"]},"claim":"Per-sample execution on synthesized fixtures; not a correctness claim.","sample_list":"/paper/free-form-image-inpainting-with-gated#ran","syntology_url":"https://syntology.ai/paper/1806.03589","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1806.03589"}}}}],"record_sha256":"d2e1a2f50dac1db20bda2e17c1729f660add617ca8450f8c2fb784f7f829d0c9","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}