{"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/face-generation/papers/ran/1","list_of":"/task/face-generation","task":"Face Generation","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":[1,31],"of":31,"counts":{"archive_papers_tagged":381,"with_a_code_link":143,"where_syntology_ran_a_sample":31,"not_listed_spam_title":0,"listed":381,"listed_where_code_ran":31,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":26,"every_run_a_failure_of_syntologys_instrument":5,"listed_with_a_run_with_no_instrument_failure":26,"listed_every_run_a_failure_of_syntologys_instrument":5,"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/face-generation/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/arc2face-a-foundation-model-of-human-faces","slug":"arc2face-a-foundation-model-of-human-faces","title":"Arc2Face: A Foundation Model for ID-Consistent Human Faces","date":"2024-03-18","arxiv_id":"2403.11641","repositories_listed":3,"syntology":{"n":4,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":3,"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) · 3 unverified","sample_list":"/paper/arc2face-a-foundation-model-of-human-faces#ran","syntology_url":"https://syntology.ai/paper/2403.11641","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.11641"}},"official":{"repos":["huggingface.co/FoivosPar/Arc2Face"],"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/real3d-portrait-one-shot-realistic-3d-talking","slug":"real3d-portrait-one-shot-realistic-3d-talking","title":"Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis","date":"2024-01-16","arxiv_id":"2401.08503","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/real3d-portrait-one-shot-realistic-3d-talking#ran","syntology_url":"https://syntology.ai/paper/2401.08503","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.08503"}},"official":{"repos":["yerfor/Real3DPortrait"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/identity-preserving-talking-face-generation","slug":"identity-preserving-talking-face-generation","title":"Identity-Preserving Talking Face Generation with Landmark and Appearance Priors","date":"2023-05-15","arxiv_id":"2305.08293","repositories_listed":1,"syntology":{"n":6,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":2,"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) · 2 unverified","sample_list":"/paper/identity-preserving-talking-face-generation#ran","syntology_url":"https://syntology.ai/paper/2305.08293","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.08293"}},"official":{"repos":["Weizhi-Zhong/IP_LAP"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/seeing-what-you-said-talking-face-generation","slug":"seeing-what-you-said-talking-face-generation","title":"Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert","date":"2023-03-29","arxiv_id":"2303.17480","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/seeing-what-you-said-talking-face-generation#ran","syntology_url":"https://syntology.ai/paper/2303.17480","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.17480"}},"official":{"repos":["sxjdwang/talklip"],"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/geneface-generalized-and-high-fidelity-audio","slug":"geneface-generalized-and-high-fidelity-audio","title":"GeneFace: Generalized and High-Fidelity Audio-Driven 3D Talking Face Synthesis","date":"2023-01-31","arxiv_id":"2301.13430","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":2,"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) · 1 unverified","sample_list":"/paper/geneface-generalized-and-high-fidelity-audio#ran","syntology_url":"https://syntology.ai/paper/2301.13430","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2301.13430"}},"official":null}},{"url":"/paper/dpe-disentanglement-of-pose-and-expression","slug":"dpe-disentanglement-of-pose-and-expression","title":"DPE: Disentanglement of Pose and Expression for General Video Portrait Editing","date":"2023-01-16","arxiv_id":"2301.06281","repositories_listed":1,"syntology":{"n":23,"n_ran":15,"n_constructed":9,"n_ran_checked":12,"n_instrument":3,"n_unverified":8,"n_honours":0,"n_violates":1,"n_no_contract":11,"n_pointer_only":1,"phrase":"15 ran (of which 9 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 1 violated, 11 with no contract checked; 3 where Syntology's instrument failed) · 8 unverified","sample_list":"/paper/dpe-disentanglement-of-pose-and-expression#ran","syntology_url":"https://syntology.ai/paper/2301.06281","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2301.06281"}},"official":{"repos":["Carlyx/DPE"],"state":"official (archive's flag): 14 ran","n_ran":14,"n_constructed":9,"n_ran_no_instrument_failure":11,"n_unverified":8,"ran_from_kinds":["official","unlocated"]}}},{"url":"/paper/stylenat-giving-each-head-a-new-perspective","slug":"stylenat-giving-each-head-a-new-perspective","title":"StyleNAT: Giving Each Head a New Perspective","date":"2022-11-10","arxiv_id":"2211.05770","repositories_listed":2,"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/stylenat-giving-each-head-a-new-perspective#ran","syntology_url":"https://syntology.ai/paper/2211.05770","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.05770"}},"official":{"repos":["SHI-Labs/StyleNAT"],"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/explicitly-controllable-3d-aware-portrait","slug":"explicitly-controllable-3d-aware-portrait","title":"3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation","date":"2022-09-12","arxiv_id":"2209.05434","repositories_listed":1,"syntology":{"n":5,"n_ran":5,"n_constructed":0,"n_ran_checked":0,"n_instrument":5,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":5,"phrase":"5 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; 5 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/explicitly-controllable-3d-aware-portrait#ran","syntology_url":"https://syntology.ai/paper/2209.05434","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2209.05434"}},"official":{"repos":["junshutang/3DFaceShop"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/dynast-dynamic-sparse-transformer-for","slug":"dynast-dynamic-sparse-transformer-for","title":"DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation","date":"2022-07-13","arxiv_id":"2207.06124","repositories_listed":1,"syntology":{"n":8,"n_ran":5,"n_constructed":2,"n_ran_checked":3,"n_instrument":2,"n_unverified":3,"n_honours":1,"n_violates":0,"n_no_contract":2,"n_pointer_only":0,"phrase":"5 ran (of which 2 constructed an object rather than computing a result; 3 with no instrument failure: 1 honoured, 0 violated, 2 with no contract checked; 2 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/dynast-dynamic-sparse-transformer-for#ran","syntology_url":"https://syntology.ai/paper/2207.06124","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.06124"}},"official":{"repos":["huage001/dynast"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":2,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/talking-face-generation-with-multilingual-tts","slug":"talking-face-generation-with-multilingual-tts","title":"Talking Face Generation with Multilingual TTS","date":"2022-05-13","arxiv_id":"2205.06421","repositories_listed":0,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/talking-face-generation-with-multilingual-tts#ran","syntology_url":"https://syntology.ai/paper/2205.06421","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2205.06421"}},"official":null}},{"url":"/paper/styleheat-one-shot-high-resolution-editable","slug":"styleheat-one-shot-high-resolution-editable","title":"StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-trained StyleGAN","date":"2022-03-08","arxiv_id":"2203.04036","repositories_listed":1,"syntology":{"n":8,"n_ran":4,"n_constructed":0,"n_ran_checked":4,"n_instrument":0,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":1,"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) · 4 unverified","sample_list":"/paper/styleheat-one-shot-high-resolution-editable#ran","syntology_url":"https://syntology.ai/paper/2203.04036","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2203.04036"}},"official":{"repos":["FeiiYin/StyleHEAT"],"state":"official (archive's flag): 4 ran","n_ran":4,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/blendgan-implicitly-gan-blending-for","slug":"blendgan-implicitly-gan-blending-for","title":"BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation","date":"2021-10-22","arxiv_id":"2110.11728","repositories_listed":3,"syntology":{"n":21,"n_ran":19,"n_constructed":0,"n_ran_checked":13,"n_instrument":6,"n_unverified":2,"n_honours":0,"n_violates":1,"n_no_contract":12,"n_pointer_only":4,"phrase":"19 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 1 violated, 12 with no contract checked; 6 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/blendgan-implicitly-gan-blending-for#ran","syntology_url":"https://syntology.ai/paper/2110.11728","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2110.11728"}},"official":{"repos":["onion-liu/BlendGAN"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":1,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/facial-synthesizing-dynamic-talking-face-with","slug":"facial-synthesizing-dynamic-talking-face-with","title":"FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning","date":"2021-08-18","arxiv_id":"2108.07938","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":3,"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/facial-synthesizing-dynamic-talking-face-with#ran","syntology_url":"https://syntology.ai/paper/2108.07938","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2108.07938"}},"official":{"repos":["zhangchenxu528/FACIAL"],"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/eigengan-layer-wise-eigen-learning-for-gans","slug":"eigengan-layer-wise-eigen-learning-for-gans","title":"EigenGAN: Layer-Wise Eigen-Learning for GANs","date":"2021-04-26","arxiv_id":"2104.12476","repositories_listed":1,"syntology":{"n":16,"n_ran":13,"n_constructed":0,"n_ran_checked":13,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":0,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/eigengan-layer-wise-eigen-learning-for-gans#ran","syntology_url":"https://syntology.ai/paper/2104.12476","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.12476"}},"official":{"repos":["LynnHo/EigenGAN-Tensorflow"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/pose-controllable-talking-face-generation-by","slug":"pose-controllable-talking-face-generation-by","title":"Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation","date":"2021-04-22","arxiv_id":"2104.11116","repositories_listed":1,"syntology":{"n":10,"n_ran":7,"n_constructed":6,"n_ran_checked":7,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":7,"n_pointer_only":10,"phrase":"7 ran (of which 6 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/pose-controllable-talking-face-generation-by#ran","syntology_url":"https://syntology.ai/paper/2104.11116","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.11116"}},"official":{"repos":["Hangz-nju-cuhk/Talking-Face_PC-AVS"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":6,"n_ran_no_instrument_failure":7,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/audio-driven-emotional-video-portraits","slug":"audio-driven-emotional-video-portraits","title":"Audio-Driven Emotional Video Portraits","date":"2021-04-15","arxiv_id":"2104.07452","repositories_listed":1,"syntology":{"n":10,"n_ran":5,"n_constructed":5,"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 5 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; every one of the 5 samples that ran constructed an object rather than computing a result","sample_list":"/paper/audio-driven-emotional-video-portraits#ran","syntology_url":"https://syntology.ai/paper/2104.07452","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2104.07452"}},"official":null}},{"url":"/paper/anigan-style-guided-generative-adversarial","slug":"anigan-style-guided-generative-adversarial","title":"AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation","date":"2021-02-24","arxiv_id":"2102.12593","repositories_listed":3,"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":2,"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/anigan-style-guided-generative-adversarial#ran","syntology_url":"https://syntology.ai/paper/2102.12593","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2102.12593"}},"official":{"repos":["bing-li-ai/AniGAN"],"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/lifting-2d-stylegan-for-3d-aware-face","slug":"lifting-2d-stylegan-for-3d-aware-face","title":"Lifting 2D StyleGAN for 3D-Aware Face Generation","date":"2020-11-26","arxiv_id":"2011.13126","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/lifting-2d-stylegan-for-3d-aware-face#ran","syntology_url":"https://syntology.ai/paper/2011.13126","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2011.13126"}},"official":{"repos":["seasonSH/LiftedGAN"],"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/encoding-in-style-a-stylegan-encoder-for","slug":"encoding-in-style-a-stylegan-encoder-for","title":"Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation","date":"2020-08-03","arxiv_id":"2008.00951","repositories_listed":10,"syntology":{"n":16,"n_ran":16,"n_constructed":0,"n_ran_checked":13,"n_instrument":3,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":12,"n_pointer_only":1,"phrase":"16 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 1 honoured, 0 violated, 12 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/encoding-in-style-a-stylegan-encoder-for#ran","syntology_url":"https://syntology.ai/paper/2008.00951","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2008.00951"}},"official":{"repos":["eladrich/pixel2style2pixel"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","unlocated"]}}},{"url":"/paper/interfacegan-interpreting-the-disentangled","slug":"interfacegan-interpreting-the-disentangled","title":"InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs","date":"2020-05-18","arxiv_id":"2005.09635","repositories_listed":2,"syntology":{"n":3,"n_ran":1,"n_constructed":0,"n_ran_checked":0,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":3,"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) · 2 unverified","sample_list":"/paper/interfacegan-interpreting-the-disentangled#ran","syntology_url":"https://syntology.ai/paper/2005.09635","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2005.09635"}},"official":null}},{"url":"/paper/feature-quantization-improves-gan-training","slug":"feature-quantization-improves-gan-training","title":"Feature Quantization Improves GAN Training","date":"2020-04-05","arxiv_id":"2004.02088","repositories_listed":2,"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":1,"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/feature-quantization-improves-gan-training#ran","syntology_url":"https://syntology.ai/paper/2004.02088","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2004.02088"}},"official":{"repos":["YangNaruto/FQ-GAN"],"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":["found_in_text","official"]}}},{"url":"/paper/faceshifter-towards-high-fidelity-and","slug":"faceshifter-towards-high-fidelity-and","title":"FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping","date":"2019-12-31","arxiv_id":"1912.13457","repositories_listed":10,"syntology":{"n":6,"n_ran":6,"n_constructed":0,"n_ran_checked":1,"n_instrument":5,"n_unverified":0,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":6,"phrase":"6 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; 5 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/faceshifter-towards-high-fidelity-and#ran","syntology_url":"https://syntology.ai/paper/1912.13457","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1912.13457"}},"official":null}},{"url":"/paper/interpreting-the-latent-space-of-gans-for","slug":"interpreting-the-latent-space-of-gans-for","title":"Interpreting the Latent Space of GANs for Semantic Face Editing","date":"2019-07-25","arxiv_id":"1907.10786","repositories_listed":4,"syntology":{"n":5,"n_ran":2,"n_constructed":0,"n_ran_checked":0,"n_instrument":2,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":5,"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) · 3 unverified","sample_list":"/paper/interpreting-the-latent-space-of-gans-for#ran","syntology_url":"https://syntology.ai/paper/1907.10786","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1907.10786"}},"official":null}},{"url":"/paper/coco-gan-generation-by-parts-via-conditional","slug":"coco-gan-generation-by-parts-via-conditional","title":"COCO-GAN: Generation by Parts via Conditional Coordinating","date":"2019-03-30","arxiv_id":"1904.00284","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/coco-gan-generation-by-parts-via-conditional#ran","syntology_url":"https://syntology.ai/paper/1904.00284","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1904.00284"}},"official":null}},{"url":"/paper/look-across-elapse-disentangled","slug":"look-across-elapse-disentangled","title":"Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition","date":"2018-09-02","arxiv_id":"1809.00338","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":1,"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) · 1 unverified","sample_list":"/paper/look-across-elapse-disentangled#ran","syntology_url":"https://syntology.ai/paper/1809.00338","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1809.00338"}},"official":{"repos":["ZhaoJ9014/High_Performance_Face_Recognition"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/everybody-dance-now","slug":"everybody-dance-now","title":"Everybody Dance Now","date":"2018-08-22","arxiv_id":"1808.07371","repositories_listed":14,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":1,"phrase":"3 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; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/everybody-dance-now#ran","syntology_url":"https://syntology.ai/paper/1808.07371","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1808.07371"}},"official":{"repos":["carolineec/EverybodyDanceNow"],"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/ganimation-anatomically-aware-facial","slug":"ganimation-anatomically-aware-facial","title":"GANimation: Anatomically-aware Facial Animation from a Single Image","date":"2018-07-24","arxiv_id":"1807.09251","repositories_listed":9,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":1,"phrase":"3 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; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/ganimation-anatomically-aware-facial#ran","syntology_url":"https://syntology.ai/paper/1807.09251","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1807.09251"}},"official":{"repos":["albertpumarola/GANimation"],"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/talking-face-generation-by-adversarially","slug":"talking-face-generation-by-adversarially","title":"Talking Face Generation by Adversarially Disentangled Audio-Visual Representation","date":"2018-07-20","arxiv_id":"1807.07860","repositories_listed":1,"syntology":{"n":5,"n_ran":4,"n_constructed":0,"n_ran_checked":2,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":2,"n_pointer_only":2,"phrase":"4 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; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/talking-face-generation-by-adversarially#ran","syntology_url":"https://syntology.ai/paper/1807.07860","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1807.07860"}},"official":null}},{"url":"/paper/arcface-additive-angular-margin-loss-for-deep","slug":"arcface-additive-angular-margin-loss-for-deep","title":"ArcFace: Additive Angular Margin Loss for Deep Face Recognition","date":"2018-01-23","arxiv_id":"1801.07698","repositories_listed":100,"syntology":{"n":21,"n_ran":16,"n_constructed":0,"n_ran_checked":2,"n_instrument":14,"n_unverified":5,"n_honours":2,"n_violates":0,"n_no_contract":0,"n_pointer_only":14,"phrase":"16 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; 14 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/arcface-additive-angular-margin-loss-for-deep#ran","syntology_url":"https://syntology.ai/paper/1801.07698","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1801.07698"}},"official":{"repos":["deepinsight/insightface"],"state":"official: no sample here; runs from other or unrecorded repositories","n_ran":0,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":0,"ran_from_kinds":["listed","unlocated"]}}},{"url":"/paper/progressive-growing-of-gans-for-improved","slug":"progressive-growing-of-gans-for-improved","title":"Progressive Growing of GANs for Improved Quality, Stability, and Variation","date":"2017-10-27","arxiv_id":"1710.10196","repositories_listed":115,"syntology":{"n":89,"n_ran":58,"n_constructed":0,"n_ran_checked":43,"n_instrument":15,"n_unverified":31,"n_honours":5,"n_violates":1,"n_no_contract":37,"n_pointer_only":23,"phrase":"58 ran (of which 0 constructed an object rather than computing a result; 43 with no instrument failure: 5 honoured, 1 violated, 37 with no contract checked; 15 where Syntology's instrument failed) · 31 unverified","sample_list":"/paper/progressive-growing-of-gans-for-improved#ran","syntology_url":"https://syntology.ai/paper/1710.10196","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1710.10196"}},"official":{"repos":["tkarras/progressive_growing_of_gans"],"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/causalgan-learning-causal-implicit-generative","slug":"causalgan-learning-causal-implicit-generative","title":"CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training","date":"2017-09-06","arxiv_id":"1709.02023","repositories_listed":2,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":0,"n_honours":0,"n_violates":1,"n_no_contract":0,"n_pointer_only":1,"phrase":"3 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; 2 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/causalgan-learning-causal-implicit-generative#ran","syntology_url":"https://syntology.ai/paper/1709.02023","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"1709.02023"}},"official":{"repos":["mkocaoglu/CausalGAN"],"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","unlocated"]}}}],"record_sha256":"163ea28b7bf5e3b724f980773eb07d9e76a692a8d0e3a5e71ad1df4aa29bd8e3","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}