{"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/colorization/papers/ran/1","list_of":"/task/colorization","task":"Colorization","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":1,"pages_in_order":1,"rows_per_page":100,"rows":[1,47],"of":47,"counts":{"archive_papers_tagged":367,"with_a_code_link":177,"where_syntology_ran_a_sample":47,"not_listed_spam_title":0,"listed":367,"listed_where_code_ran":47,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":40,"every_run_a_failure_of_syntologys_instrument":7,"listed_with_a_run_with_no_instrument_failure":40,"listed_every_run_a_failure_of_syntologys_instrument":7,"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/colorization/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/diffusion-prior-based-amortized-variational","slug":"diffusion-prior-based-amortized-variational","title":"Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems","date":"2024-07-23","arxiv_id":"2407.16125","repositories_listed":2,"syntology":{"n":27,"n_ran":22,"n_constructed":0,"n_ran_checked":14,"n_instrument":8,"n_unverified":5,"n_honours":2,"n_violates":0,"n_no_contract":12,"n_pointer_only":17,"phrase":"22 ran (of which 0 constructed an object rather than computing a result; 14 with no instrument failure: 2 honoured, 0 violated, 12 with no contract checked; 8 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/diffusion-prior-based-amortized-variational#ran","syntology_url":"https://syntology.ai/paper/2407.16125","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.16125"}},"official":{"repos":["mlvlab/davi"],"state":"official (archive's flag): 17 ran","n_ran":17,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":5,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/zero-shot-point-cloud-completion-via-2d","slug":"zero-shot-point-cloud-completion-via-2d","title":"ComPC: Completing a 3D Point Cloud with 2D Diffusion Priors","date":"2024-04-10","arxiv_id":"2404.06814","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":1,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"1 ran (of which 1 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) · 0 unverified; the one sample that ran constructed an object rather than computing a result","sample_list":"/paper/zero-shot-point-cloud-completion-via-2d#ran","syntology_url":"https://syntology.ai/paper/2404.06814","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.06814"}},"official":{"repos":["Tianxinhuang/ComPC"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/colormnet-a-memory-based-deep-spatial","slug":"colormnet-a-memory-based-deep-spatial","title":"ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization","date":"2024-04-09","arxiv_id":"2404.06251","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":5,"phrase":"3 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; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/colormnet-a-memory-based-deep-spatial#ran","syntology_url":"https://syntology.ai/paper/2404.06251","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2404.06251"}},"official":{"repos":["yyang181/colormnet"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/gaussian-grouping-segment-and-edit-anything","slug":"gaussian-grouping-segment-and-edit-anything","title":"Gaussian Grouping: Segment and Edit Anything in 3D Scenes","date":"2023-12-01","arxiv_id":"2312.00732","repositories_listed":1,"syntology":{"n":13,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":2,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/gaussian-grouping-segment-and-edit-anything#ran","syntology_url":"https://syntology.ai/paper/2312.00732","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.00732"}},"official":{"repos":["lkeab/gaussian-grouping"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/lasagna-layered-score-distillation-for","slug":"lasagna-layered-score-distillation-for","title":"Lasagna: Layered Score Distillation for Disentangled Object Relighting","date":"2023-11-30","arxiv_id":"2312.00833","repositories_listed":1,"syntology":{"n":7,"n_ran":7,"n_constructed":0,"n_ran_checked":6,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":7,"phrase":"7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/lasagna-layered-score-distillation-for#ran","syntology_url":"https://syntology.ai/paper/2312.00833","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.00833"}},"official":{"repos":["dbash/lasagna"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/steered-diffusion-a-generalized-framework-for-1","slug":"steered-diffusion-a-generalized-framework-for-1","title":"Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis","date":"2023-09-30","arxiv_id":"2310.00224","repositories_listed":1,"syntology":{"n":10,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":10,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/steered-diffusion-a-generalized-framework-for-1#ran","syntology_url":"https://syntology.ai/paper/2310.00224","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.00224"}},"official":{"repos":["merlresearch/SteeredDiffusion"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/finite-scalar-quantization-vq-vae-made-simple","slug":"finite-scalar-quantization-vq-vae-made-simple","title":"Finite Scalar Quantization: VQ-VAE Made Simple","date":"2023-09-27","arxiv_id":"2309.15505","repositories_listed":3,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":2,"n_no_contract":1,"n_pointer_only":2,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 2 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/finite-scalar-quantization-vq-vae-made-simple#ran","syntology_url":"https://syntology.ai/paper/2309.15505","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2309.15505"}},"official":{"repos":["google-research/google-research"],"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/applying-a-color-palette-with-local-control","slug":"applying-a-color-palette-with-local-control","title":"Dequantization and Color Transfer with Diffusion Models","date":"2023-07-06","arxiv_id":"2307.02698","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":2,"phrase":"2 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; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/applying-a-color-palette-with-local-control#ran","syntology_url":"https://syntology.ai/paper/2307.02698","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2307.02698"}},"official":{"repos":["vibe007/Dequantization_Diffusion_Models"],"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"]}}},{"url":"/paper/fast-optimal-transport-through-sliced","slug":"fast-optimal-transport-through-sliced","title":"Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics","date":"2023-07-04","arxiv_id":"2307.01770","repositories_listed":1,"syntology":{"n":27,"n_ran":21,"n_constructed":0,"n_ran_checked":19,"n_instrument":2,"n_unverified":6,"n_honours":0,"n_violates":0,"n_no_contract":19,"n_pointer_only":0,"phrase":"21 ran (of which 0 constructed an object rather than computing a result; 19 with no instrument failure: 0 honoured, 0 violated, 19 with no contract checked; 2 where Syntology's instrument failed) · 6 unverified","sample_list":"/paper/fast-optimal-transport-through-sliced#ran","syntology_url":"https://syntology.ai/paper/2307.01770","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2307.01770"}},"official":{"repos":["maheyg/swgg"],"state":"official (archive's flag): 21 ran","n_ran":21,"n_constructed":0,"n_ran_no_instrument_failure":19,"n_unverified":6,"ran_from_kinds":["official"]}}},{"url":"/paper/svcnet-scribble-based-video-colorization","slug":"svcnet-scribble-based-video-colorization","title":"SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation","date":"2023-03-21","arxiv_id":"2303.11591","repositories_listed":1,"syntology":{"n":11,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":0,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/svcnet-scribble-based-video-colorization#ran","syntology_url":"https://syntology.ai/paper/2303.11591","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.11591"}},"official":{"repos":["zhaoyuzhi/svcnet"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/consistency-models","slug":"consistency-models","title":"Consistency Models","date":"2023-03-02","arxiv_id":"2303.01469","repositories_listed":15,"syntology":{"n":57,"n_ran":32,"n_constructed":5,"n_ran_checked":22,"n_instrument":10,"n_unverified":25,"n_honours":5,"n_violates":3,"n_no_contract":14,"n_pointer_only":18,"phrase":"32 ran (of which 5 constructed an object rather than computing a result; 22 with no instrument failure: 5 honoured, 3 violated, 14 with no contract checked; 10 where Syntology's instrument failed) · 25 unverified","sample_list":"/paper/consistency-models#ran","syntology_url":"https://syntology.ai/paper/2303.01469","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.01469"}},"official":{"repos":["openai/consistency_models"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":9,"ran_from_kinds":["listed","official","unlocated"]}}},{"url":"/paper/high-resolution-gan-inversion-for-degraded","slug":"high-resolution-gan-inversion-for-degraded","title":"High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets","date":"2023-02-07","arxiv_id":"2302.03406","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"1 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; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/high-resolution-gan-inversion-for-degraded#ran","syntology_url":"https://syntology.ai/paper/2302.03406","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2302.03406"}},"official":{"repos":["booooooooooo/cri"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/accelerating-guided-diffusion-sampling-with","slug":"accelerating-guided-diffusion-sampling-with","title":"Accelerating Guided Diffusion Sampling with Splitting Numerical Methods","date":"2023-01-27","arxiv_id":"2301.11558","repositories_listed":1,"syntology":{"n":4,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":0,"n_honours":2,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/accelerating-guided-diffusion-sampling-with#ran","syntology_url":"https://syntology.ai/paper/2301.11558","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2301.11558"}},"official":{"repos":["swizad/split-diffusion"],"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","unlocated"]}}},{"url":"/paper/ddcolor-towards-photo-realistic-and-semantic","slug":"ddcolor-towards-photo-realistic-and-semantic","title":"DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders","date":"2022-12-22","arxiv_id":"2212.11613","repositories_listed":1,"syntology":{"n":10,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/ddcolor-towards-photo-realistic-and-semantic#ran","syntology_url":"https://syntology.ai/paper/2212.11613","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2212.11613"}},"official":{"repos":["piddnad/ddcolor"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/weakly-supervised-semantic-segmentation-for-2","slug":"weakly-supervised-semantic-segmentation-for-2","title":"Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud","date":"2022-12-09","arxiv_id":"2212.04744","repositories_listed":4,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"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) · 0 unverified","sample_list":"/paper/weakly-supervised-semantic-segmentation-for-2#ran","syntology_url":"https://syntology.ai/paper/2212.04744","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2212.04744"}},"official":{"repos":["dmcv-ecnu/MindSpore_ModelZoo"],"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/zero-shot-image-restoration-using-denoising","slug":"zero-shot-image-restoration-using-denoising","title":"Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model","date":"2022-12-01","arxiv_id":"2212.00490","repositories_listed":4,"syntology":{"n":23,"n_ran":16,"n_constructed":0,"n_ran_checked":11,"n_instrument":5,"n_unverified":7,"n_honours":1,"n_violates":0,"n_no_contract":10,"n_pointer_only":10,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 0 violated, 10 with no contract checked; 5 where Syntology's instrument failed) · 7 unverified","sample_list":"/paper/zero-shot-image-restoration-using-denoising#ran","syntology_url":"https://syntology.ai/paper/2212.00490","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2212.00490"}},"official":{"repos":["wyhuai/ddnm"],"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/action-matching-a-variational-method-for","slug":"action-matching-a-variational-method-for","title":"Action Matching: Learning Stochastic Dynamics from Samples","date":"2022-10-13","arxiv_id":"2210.06662","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":1,"n_ran_checked":1,"n_instrument":3,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":3,"phrase":"4 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/action-matching-a-variational-method-for#ran","syntology_url":"https://syntology.ai/paper/2210.06662","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2210.06662"}},"official":{"repos":["necludov/jam"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["found_in_text","official"]}}},{"url":"/paper/glean-generative-latent-bank-for-image-super","slug":"glean-generative-latent-bank-for-image-super","title":"GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond","date":"2022-07-29","arxiv_id":"2207.14812","repositories_listed":1,"syntology":{"n":9,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":0,"phrase":"7 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; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/glean-generative-latent-bank-for-image-super#ran","syntology_url":"https://syntology.ai/paper/2207.14812","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.14812"}},"official":{"repos":["open-mmlab/mmediting"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/bigcolor-colorization-using-a-generative","slug":"bigcolor-colorization-using-a-generative","title":"BigColor: Colorization using a Generative Color Prior for Natural Images","date":"2022-07-20","arxiv_id":"2207.09685","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":2,"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 2 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/bigcolor-colorization-using-a-generative#ran","syntology_url":"https://syntology.ai/paper/2207.09685","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.09685"}},"official":{"repos":["KIMGEONUNG/BigColor"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/eliminating-gradient-conflict-in-reference","slug":"eliminating-gradient-conflict-in-reference","title":"Eliminating Gradient Conflict in Reference-based Line-Art Colorization","date":"2022-07-13","arxiv_id":"2207.06095","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":0,"n_no_contract":1,"n_pointer_only":1,"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) · 0 unverified","sample_list":"/paper/eliminating-gradient-conflict-in-reference#ran","syntology_url":"https://syntology.ai/paper/2207.06095","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.06095"}},"official":{"repos":["kunkun0w0/sga"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/improving-diffusion-models-for-inverse","slug":"improving-diffusion-models-for-inverse","title":"Improving Diffusion Models for Inverse Problems using Manifold Constraints","date":"2022-06-02","arxiv_id":"2206.00941","repositories_listed":2,"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/improving-diffusion-models-for-inverse#ran","syntology_url":"https://syntology.ai/paper/2206.00941","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2206.00941"}},"official":{"repos":["hj-harry/mcg_diffusion"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/uvim-a-unified-modeling-approach-for-vision","slug":"uvim-a-unified-modeling-approach-for-vision","title":"UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes","date":"2022-05-20","arxiv_id":"2205.10337","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":1,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"2 ran (of which 1 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/uvim-a-unified-modeling-approach-for-vision#ran","syntology_url":"https://syntology.ai/paper/2205.10337","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2205.10337"}},"official":{"repos":["google-research/big_vision"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":1,"n_ran_no_instrument_failure":1,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/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","repositories_listed":5,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"phrase":"2 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; 1 where Syntology's instrument failed) · 1 unverified","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"}},"official":null}},{"url":"/paper/self-supervised-learning-disentangled-group","slug":"self-supervised-learning-disentangled-group","title":"Self-Supervised Learning Disentangled Group Representation as Feature","date":"2021-10-28","arxiv_id":"2110.15255","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/self-supervised-learning-disentangled-group#ran","syntology_url":"https://syntology.ai/paper/2110.15255","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.15255"}},"official":{"repos":["Wangt-CN/IP-IRM"],"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/generative-modeling-with-optimal-transport","slug":"generative-modeling-with-optimal-transport","title":"Generative Modeling with Optimal Transport Maps","date":"2021-10-06","arxiv_id":"2110.02999","repositories_listed":2,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":2,"phrase":"1 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; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/generative-modeling-with-optimal-transport#ran","syntology_url":"https://syntology.ai/paper/2110.02999","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.02999"}},"official":{"repos":["LituRout/OptimalTransportModeling"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/color2style-real-time-exemplar-based-image","slug":"color2style-real-time-exemplar-based-image","title":"Color2Embed: Fast Exemplar-Based Image Colorization using Color Embeddings","date":"2021-06-15","arxiv_id":"2106.08017","repositories_listed":3,"syntology":{"n":9,"n_ran":9,"n_constructed":0,"n_ran_checked":8,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"9 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; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/color2style-real-time-exemplar-based-image#ran","syntology_url":"https://syntology.ai/paper/2106.08017","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2106.08017"}},"official":{"repos":["zhaohengyuan1/Color2Style"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/beyond-the-spectrum-detecting-deepfakes-via","slug":"beyond-the-spectrum-detecting-deepfakes-via","title":"Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis","date":"2021-05-29","arxiv_id":"2105.14376","repositories_listed":1,"syntology":{"n":3,"n_ran":3,"n_constructed":3,"n_ran_checked":3,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 3 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) · 0 unverified; every one of the 3 samples that ran constructed an object rather than computing a result","sample_list":"/paper/beyond-the-spectrum-detecting-deepfakes-via#ran","syntology_url":"https://syntology.ai/paper/2105.14376","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2105.14376"}},"official":{"repos":["SSAW14/BeyondtheSpectrum"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":3,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/vcgan-video-colorization-with-hybrid","slug":"vcgan-video-colorization-with-hybrid","title":"VCGAN: Video Colorization with Hybrid Generative Adversarial Network","date":"2021-04-26","arxiv_id":"2104.12357","repositories_listed":1,"syntology":{"n":11,"n_ran":9,"n_constructed":0,"n_ran_checked":6,"n_instrument":3,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":3,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 3 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/vcgan-video-colorization-with-hybrid#ran","syntology_url":"https://syntology.ai/paper/2104.12357","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.12357"}},"official":{"repos":["zhaoyuzhi/VCGAN"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/generating-images-with-sparse-representations","slug":"generating-images-with-sparse-representations","title":"Generating Images with Sparse Representations","date":"2021-03-05","arxiv_id":"2103.03841","repositories_listed":2,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":0,"n_honours":2,"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; 2 with no instrument failure: 2 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/generating-images-with-sparse-representations#ran","syntology_url":"https://syntology.ai/paper/2103.03841","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2103.03841"}},"official":null}},{"url":"/paper/time-travel-rephotography","slug":"time-travel-rephotography","title":"Time-Travel Rephotography","date":"2020-12-22","arxiv_id":"2012.12261","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/time-travel-rephotography#ran","syntology_url":"https://syntology.ai/paper/2012.12261","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2012.12261"}},"official":{"repos":["Time-Travel-Rephotography/Time-Travel-Rephotography.github.io"],"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/score-based-generative-modeling-through-1","slug":"score-based-generative-modeling-through-1","title":"Score-Based Generative Modeling through Stochastic Differential Equations","date":"2020-11-26","arxiv_id":"2011.13456","repositories_listed":15,"syntology":{"n":23,"n_ran":15,"n_constructed":4,"n_ran_checked":8,"n_instrument":7,"n_unverified":8,"n_honours":2,"n_violates":0,"n_no_contract":6,"n_pointer_only":4,"phrase":"15 ran (of which 4 constructed an object rather than computing a result; 8 with no instrument failure: 2 honoured, 0 violated, 6 with no contract checked; 7 where Syntology's instrument failed) · 8 unverified","sample_list":"/paper/score-based-generative-modeling-through-1#ran","syntology_url":"https://syntology.ai/paper/2011.13456","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2011.13456"}},"official":{"repos":["yang-song/score_sde"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":2,"n_ran_no_instrument_failure":2,"n_unverified":4,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/blind-video-temporal-consistency-via-deep","slug":"blind-video-temporal-consistency-via-deep","title":"Blind Video Temporal Consistency via Deep Video Prior","date":"2020-10-22","arxiv_id":"2010.11838","repositories_listed":2,"syntology":{"n":3,"n_ran":3,"n_constructed":1,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":3,"phrase":"3 ran (of which 1 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/blind-video-temporal-consistency-via-deep#ran","syntology_url":"https://syntology.ai/paper/2010.11838","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2010.11838"}},"official":{"repos":["ChenyangLEI/deep-video-prior","yzxing87/pytorch-deep-video-prior"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":1,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/the-color-out-of-space-learning-self","slug":"the-color-out-of-space-learning-self","title":"The color out of space: learning self-supervised representations for Earth Observation imagery","date":"2020-06-22","arxiv_id":"2006.12119","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/the-color-out-of-space-learning-self#ran","syntology_url":"https://syntology.ai/paper/2006.12119","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2006.12119"}},"official":{"repos":["stevinc/TheColorOutOfSpace"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/instance-aware-image-colorization","slug":"instance-aware-image-colorization","title":"Instance-aware Image Colorization","date":"2020-05-21","arxiv_id":"2005.10825","repositories_listed":2,"syntology":{"n":7,"n_ran":6,"n_constructed":0,"n_ran_checked":6,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/instance-aware-image-colorization#ran","syntology_url":"https://syntology.ai/paper/2005.10825","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2005.10825"}},"official":{"repos":["ericsujw/InstColorization"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/an-unpaired-sketch-to-photo-translation-model","slug":"an-unpaired-sketch-to-photo-translation-model","title":"Unsupervised Sketch-to-Photo Synthesis","date":"2019-09-18","arxiv_id":"1909.08313","repositories_listed":1,"syntology":{"n":11,"n_ran":9,"n_constructed":0,"n_ran_checked":7,"n_instrument":2,"n_unverified":2,"n_honours":0,"n_violates":1,"n_no_contract":6,"n_pointer_only":3,"phrase":"9 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; 2 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/an-unpaired-sketch-to-photo-translation-model#ran","syntology_url":"https://syntology.ai/paper/1909.08313","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1909.08313"}},"official":null}},{"url":"/paper/fully-automatic-video-colorization-with-self-1","slug":"fully-automatic-video-colorization-with-self-1","title":"Fully Automatic Video Colorization with Self-Regularization and Diversity","date":"2019-08-04","arxiv_id":"1908.01311","repositories_listed":4,"syntology":{"n":10,"n_ran":7,"n_constructed":0,"n_ran_checked":7,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":0,"phrase":"7 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; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/fully-automatic-video-colorization-with-self-1#ran","syntology_url":"https://syntology.ai/paper/1908.01311","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1908.01311"}},"official":{"repos":["ChenyangLEI/Fully-Automatic-Video-Colorization-with-Self-Regularization-and-Diversity"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/guided-image-generation-with-conditional","slug":"guided-image-generation-with-conditional","title":"Guided Image Generation with Conditional Invertible Neural Networks","date":"2019-07-04","arxiv_id":"1907.02392","repositories_listed":7,"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":3,"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/guided-image-generation-with-conditional#ran","syntology_url":"https://syntology.ai/paper/1907.02392","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1907.02392"}},"official":{"repos":["VLL-HD/FrEIA"],"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/deep-exemplar-based-video-colorization-1","slug":"deep-exemplar-based-video-colorization-1","title":"Deep Exemplar-based Video Colorization","date":"2019-06-24","arxiv_id":"1906.09909","repositories_listed":1,"syntology":{"n":15,"n_ran":12,"n_constructed":0,"n_ran_checked":12,"n_instrument":0,"n_unverified":3,"n_honours":1,"n_violates":0,"n_no_contract":11,"n_pointer_only":1,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 1 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/deep-exemplar-based-video-colorization-1#ran","syntology_url":"https://syntology.ai/paper/1906.09909","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1906.09909"}},"official":{"repos":["zhangmozhe/video-colorization"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/user-guided-deep-anime-line-art-colorization","slug":"user-guided-deep-anime-line-art-colorization","title":"User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks","date":"2018-08-09","arxiv_id":"1808.03240","repositories_listed":2,"syntology":{"n":2,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":1,"n_honours":0,"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; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/user-guided-deep-anime-line-art-colorization#ran","syntology_url":"https://syntology.ai/paper/1808.03240","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1808.03240"}},"official":{"repos":["orashi/AlacGAN"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/sketchyscene-richly-annotated-scene-sketches","slug":"sketchyscene-richly-annotated-scene-sketches","title":"SketchyScene: Richly-Annotated Scene Sketches","date":"2018-08-07","arxiv_id":"1808.02473","repositories_listed":2,"syntology":{"n":11,"n_ran":10,"n_constructed":0,"n_ran_checked":10,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":10,"n_pointer_only":0,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 0 honoured, 0 violated, 10 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/sketchyscene-richly-annotated-scene-sketches#ran","syntology_url":"https://syntology.ai/paper/1808.02473","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1808.02473"}},"official":{"repos":["SketchyScene/SketchyScene"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":10,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/deep-exemplar-based-colorization","slug":"deep-exemplar-based-colorization","title":"Deep Exemplar-based Colorization","date":"2018-07-17","arxiv_id":"1807.06587","repositories_listed":1,"syntology":{"n":10,"n_ran":9,"n_constructed":0,"n_ran_checked":9,"n_instrument":0,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":8,"n_pointer_only":1,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/deep-exemplar-based-colorization#ran","syntology_url":"https://syntology.ai/paper/1807.06587","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1807.06587"}},"official":{"repos":["msracver/Deep-Exemplar-based-Colorization"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/multimodal-generative-models-for-scalable","slug":"multimodal-generative-models-for-scalable","title":"Multimodal Generative Models for Scalable Weakly-Supervised Learning","date":"2018-02-14","arxiv_id":"1802.05335","repositories_listed":4,"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":1,"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/multimodal-generative-models-for-scalable#ran","syntology_url":"https://syntology.ai/paper/1802.05335","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1802.05335"}},"official":null}},{"url":"/paper/language-based-image-editing-with-recurrent","slug":"language-based-image-editing-with-recurrent","title":"Language-Based Image Editing with Recurrent Attentive Models","date":"2017-11-16","arxiv_id":"1711.06288","repositories_listed":1,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"phrase":"1 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; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/language-based-image-editing-with-recurrent#ran","syntology_url":"https://syntology.ai/paper/1711.06288","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1711.06288"}},"official":{"repos":["Jianbo-Lab/LBIE"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/colorization-as-a-proxy-task-for-visual","slug":"colorization-as-a-proxy-task-for-visual","title":"Colorization as a Proxy Task for Visual Understanding","date":"2017-03-11","arxiv_id":"1703.04044","repositories_listed":1,"syntology":{"n":10,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/colorization-as-a-proxy-task-for-visual#ran","syntology_url":"https://syntology.ai/paper/1703.04044","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1703.04044"}},"official":{"repos":["gustavla/self-supervision"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/image-to-image-translation-with-conditional","slug":"image-to-image-translation-with-conditional","title":"Image-to-Image Translation with Conditional Adversarial Networks","date":"2016-11-21","arxiv_id":"1611.07004","repositories_listed":192,"syntology":{"n":122,"n_ran":74,"n_constructed":0,"n_ran_checked":68,"n_instrument":6,"n_unverified":48,"n_honours":4,"n_violates":4,"n_no_contract":60,"n_pointer_only":10,"phrase":"74 ran (of which 0 constructed an object rather than computing a result; 68 with no instrument failure: 4 honoured, 4 violated, 60 with no contract checked; 6 where Syntology's instrument failed) · 48 unverified","sample_list":"/paper/image-to-image-translation-with-conditional#ran","syntology_url":"https://syntology.ai/paper/1611.07004","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1611.07004"}},"official":null}},{"url":"/paper/colorful-image-colorization","slug":"colorful-image-colorization","title":"Colorful Image Colorization","date":"2016-03-28","arxiv_id":"1603.08511","repositories_listed":39,"syntology":{"n":73,"n_ran":47,"n_constructed":10,"n_ran_checked":30,"n_instrument":17,"n_unverified":26,"n_honours":1,"n_violates":2,"n_no_contract":27,"n_pointer_only":41,"phrase":"47 ran (of which 10 constructed an object rather than computing a result; 30 with no instrument failure: 1 honoured, 2 violated, 27 with no contract checked; 17 where Syntology's instrument failed) · 26 unverified","sample_list":"/paper/colorful-image-colorization#ran","syntology_url":"https://syntology.ai/paper/1603.08511","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1603.08511"}},"official":{"repos":["richzhang/colorization"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":0,"ran_from_kinds":["listed","official","unlocated"]}}},{"url":"/paper/learning-representations-for-automatic","slug":"learning-representations-for-automatic","title":"Learning Representations for Automatic Colorization","date":"2016-03-22","arxiv_id":"1603.06668","repositories_listed":3,"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/learning-representations-for-automatic#ran","syntology_url":"https://syntology.ai/paper/1603.06668","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1603.06668"}},"official":{"repos":["gustavla/autocolorize"],"state":"official (archive's flag): 1 ran","n_ran":1,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["official"]}}}],"record_sha256":"d49137b8338caaa71ed742900deeaf50bdbdd16d224b5dcc378558e632bd7d4d","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}