{"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/video-editing/papers/ran/1","list_of":"/task/video-editing","task":"Video Editing","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":[1,46],"of":46,"counts":{"archive_papers_tagged":346,"with_a_code_link":133,"where_syntology_ran_a_sample":46,"not_listed_spam_title":0,"listed":346,"listed_where_code_ran":46,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":40,"every_run_a_failure_of_syntologys_instrument":6,"listed_with_a_run_with_no_instrument_failure":40,"listed_every_run_a_failure_of_syntologys_instrument":6,"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/video-editing/papers/ran/1","prev":null,"next":null,"papers":[{"url":"/paper/insvie-1m-effective-instruction-based-video","slug":"insvie-1m-effective-instruction-based-video","title":"InsViE-1M: Effective Instruction-based Video Editing with Elaborate Dataset Construction","date":"2025-03-26","arxiv_id":"2503.20287","repositories_listed":1,"syntology":{"n":18,"n_ran":13,"n_constructed":0,"n_ran_checked":12,"n_instrument":1,"n_unverified":5,"n_honours":0,"n_violates":0,"n_no_contract":12,"n_pointer_only":7,"phrase":"13 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/insvie-1m-effective-instruction-based-video#ran","syntology_url":"https://syntology.ai/paper/2503.20287","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2503.20287"}},"official":{"repos":["langmanbusi/insvie"],"state":"official (archive's flag): 13 ran","n_ran":13,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/alias-free-latent-diffusion-models-improving","slug":"alias-free-latent-diffusion-models-improving","title":"Alias-Free Latent Diffusion Models:Improving Fractional Shift Equivariance of Diffusion Latent Space","date":"2025-03-12","arxiv_id":"2503.09419","repositories_listed":1,"syntology":{"n":4,"n_ran":3,"n_constructed":2,"n_ran_checked":3,"n_instrument":0,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":2,"n_pointer_only":4,"phrase":"3 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; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/alias-free-latent-diffusion-models-improving#ran","syntology_url":"https://syntology.ai/paper/2503.09419","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2503.09419"}},"official":{"repos":["singlezombie/afldm"],"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/vace-all-in-one-video-creation-and-editing","slug":"vace-all-in-one-video-creation-and-editing","title":"VACE: All-in-One Video Creation and Editing","date":"2025-03-10","arxiv_id":"2503.07598","repositories_listed":2,"syntology":{"n":19,"n_ran":11,"n_constructed":5,"n_ran_checked":9,"n_instrument":2,"n_unverified":8,"n_honours":0,"n_violates":1,"n_no_contract":8,"n_pointer_only":0,"phrase":"11 ran (of which 5 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 1 violated, 8 with no contract checked; 2 where Syntology's instrument failed) · 8 unverified","sample_list":"/paper/vace-all-in-one-video-creation-and-editing#ran","syntology_url":"https://syntology.ai/paper/2503.07598","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2503.07598"}},"official":null}},{"url":"/paper/ditctrl-exploring-attention-control-in-multi","slug":"ditctrl-exploring-attention-control-in-multi","title":"DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation","date":"2024-12-24","arxiv_id":"2412.18597","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":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/ditctrl-exploring-attention-control-in-multi#ran","syntology_url":"https://syntology.ai/paper/2412.18597","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2412.18597"}},"official":{"repos":["tencentarc/ditctrl"],"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","unlocated"]}}},{"url":"/paper/video-seal-open-and-efficient-video","slug":"video-seal-open-and-efficient-video","title":"Video Seal: Open and Efficient Video Watermarking","date":"2024-12-12","arxiv_id":"2412.09492","repositories_listed":1,"syntology":{"n":9,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":1,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/video-seal-open-and-efficient-video#ran","syntology_url":"https://syntology.ai/paper/2412.09492","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2412.09492"}},"official":{"repos":["facebookresearch/videoseal"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/stablev2v-stablizing-shape-consistency-in","slug":"stablev2v-stablizing-shape-consistency-in","title":"StableV2V: Stablizing Shape Consistency in Video-to-Video Editing","date":"2024-11-17","arxiv_id":"2411.11045","repositories_listed":1,"syntology":{"n":10,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":2,"n_honours":1,"n_violates":0,"n_no_contract":7,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 1 honoured, 0 violated, 7 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/stablev2v-stablizing-shape-consistency-in#ran","syntology_url":"https://syntology.ai/paper/2411.11045","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.11045"}},"official":{"repos":["alonzoleeeooo/stablev2v"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/taming-rectified-flow-for-inversion-and","slug":"taming-rectified-flow-for-inversion-and","title":"Taming Rectified Flow for Inversion and Editing","date":"2024-11-07","arxiv_id":"2411.04746","repositories_listed":1,"syntology":{"n":10,"n_ran":3,"n_constructed":0,"n_ran_checked":1,"n_instrument":2,"n_unverified":7,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":10,"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) · 7 unverified","sample_list":"/paper/taming-rectified-flow-for-inversion-and#ran","syntology_url":"https://syntology.ai/paper/2411.04746","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.04746"}},"official":{"repos":["wangjiangshan0725/rf-solver-edit"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":7,"ran_from_kinds":["official"]}}},{"url":"/paper/autovfx-physically-realistic-video-editing","slug":"autovfx-physically-realistic-video-editing","title":"AutoVFX: Physically Realistic Video Editing from Natural Language Instructions","date":"2024-11-04","arxiv_id":"2411.02394","repositories_listed":1,"syntology":{"n":15,"n_ran":13,"n_constructed":0,"n_ran_checked":13,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":3,"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) · 2 unverified","sample_list":"/paper/autovfx-physically-realistic-video-editing#ran","syntology_url":"https://syntology.ai/paper/2411.02394","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2411.02394"}},"official":null}},{"url":"/paper/univst-a-unified-framework-for-training-free","slug":"univst-a-unified-framework-for-training-free","title":"UniVST: A Unified Framework for Training-free Localized Video Style Transfer","date":"2024-10-26","arxiv_id":"2410.20084","repositories_listed":1,"syntology":{"n":12,"n_ran":12,"n_constructed":0,"n_ran_checked":12,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":12,"n_pointer_only":0,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 12 with no instrument failure: 0 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/univst-a-unified-framework-for-training-free#ran","syntology_url":"https://syntology.ai/paper/2410.20084","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2410.20084"}},"official":{"repos":["QuanjianSong/UniVST"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":12,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/editboard-towards-a-comprehensive-evaluation","slug":"editboard-towards-a-comprehensive-evaluation","title":"EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models","date":"2024-09-15","arxiv_id":"2409.09668","repositories_listed":1,"syntology":{"n":10,"n_ran":8,"n_constructed":0,"n_ran_checked":8,"n_instrument":0,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":8,"n_pointer_only":0,"phrase":"8 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/editboard-towards-a-comprehensive-evaluation#ran","syntology_url":"https://syntology.ai/paper/2409.09668","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2409.09668"}},"official":{"repos":["samchen2003/editboard"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/rethinking-the-training-and-evaluation-of","slug":"rethinking-the-training-and-evaluation-of","title":"Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation","date":"2024-09-07","arxiv_id":"2409.04847","repositories_listed":1,"syntology":{"n":13,"n_ran":10,"n_constructed":0,"n_ran_checked":9,"n_instrument":1,"n_unverified":3,"n_honours":0,"n_violates":1,"n_no_contract":8,"n_pointer_only":13,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 1 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/rethinking-the-training-and-evaluation-of#ran","syntology_url":"https://syntology.ai/paper/2409.04847","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2409.04847"}},"official":{"repos":["cplusx/rich_context_l2i"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/rethinking-the-architecture-design-for","slug":"rethinking-the-architecture-design-for","title":"Rethinking the Architecture Design for Efficient Generic Event Boundary Detection","date":"2024-07-17","arxiv_id":"2407.12622","repositories_listed":1,"syntology":{"n":16,"n_ran":15,"n_constructed":0,"n_ran_checked":13,"n_instrument":2,"n_unverified":1,"n_honours":0,"n_violates":0,"n_no_contract":13,"n_pointer_only":16,"phrase":"15 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; 2 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/rethinking-the-architecture-design-for#ran","syntology_url":"https://syntology.ai/paper/2407.12622","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.12622"}},"official":{"repos":["ziwei-zheng/efficientgebd"],"state":"official (archive's flag): 15 ran","n_ran":15,"n_constructed":0,"n_ran_no_instrument_failure":13,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/diffusion-model-based-video-editing-a-survey","slug":"diffusion-model-based-video-editing-a-survey","title":"Diffusion Model-Based Video Editing: A Survey","date":"2024-06-26","arxiv_id":"2407.07111","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":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/diffusion-model-based-video-editing-a-survey#ran","syntology_url":"https://syntology.ai/paper/2407.07111","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.07111"}},"official":{"repos":["wenhao728/awesome-diffusion-v2v"],"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/frag-frequency-adapting-group-for-diffusion","slug":"frag-frequency-adapting-group-for-diffusion","title":"FRAG: Frequency Adapting Group for Diffusion Video Editing","date":"2024-06-10","arxiv_id":"2406.06044","repositories_listed":1,"syntology":{"n":2,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":0,"n_honours":1,"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; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/frag-frequency-adapting-group-for-diffusion#ran","syntology_url":"https://syntology.ai/paper/2406.06044","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2406.06044"}},"official":{"repos":["dbstjswo505/FRAG"],"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/raccoon-remove-add-and-change-video-content","slug":"raccoon-remove-add-and-change-video-content","title":"RACCooN: A Versatile Instructional Video Editing Framework with Auto-Generated Narratives","date":"2024-05-28","arxiv_id":"2405.18406","repositories_listed":2,"syntology":{"n":11,"n_ran":10,"n_constructed":0,"n_ran_checked":6,"n_instrument":4,"n_unverified":1,"n_honours":1,"n_violates":0,"n_no_contract":5,"n_pointer_only":5,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 4 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/raccoon-remove-add-and-change-video-content#ran","syntology_url":"https://syntology.ai/paper/2405.18406","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.18406"}},"official":{"repos":["jaehong31/raccoon"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":1,"n_unverified":0,"ran_from_kinds":["listed","official"]}}},{"url":"/paper/slicedit-zero-shot-video-editing-with-text-to","slug":"slicedit-zero-shot-video-editing-with-text-to","title":"Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal Slices","date":"2024-05-20","arxiv_id":"2405.12211","repositories_listed":1,"syntology":{"n":20,"n_ran":9,"n_constructed":0,"n_ran_checked":3,"n_instrument":6,"n_unverified":11,"n_honours":2,"n_violates":1,"n_no_contract":0,"n_pointer_only":0,"phrase":"9 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 2 honoured, 1 violated, 0 with no contract checked; 6 where Syntology's instrument failed) · 11 unverified","sample_list":"/paper/slicedit-zero-shot-video-editing-with-text-to#ran","syntology_url":"https://syntology.ai/paper/2405.12211","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2405.12211"}},"official":{"repos":["fallenshock/Slicedit"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":11,"ran_from_kinds":["official"]}}},{"url":"/paper/anyv2v-a-plug-and-play-framework-for-any","slug":"anyv2v-a-plug-and-play-framework-for-any","title":"AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks","date":"2024-03-21","arxiv_id":"2403.14468","repositories_listed":1,"syntology":{"n":7,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":5,"n_honours":1,"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; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/anyv2v-a-plug-and-play-framework-for-any#ran","syntology_url":"https://syntology.ai/paper/2403.14468","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.14468"}},"official":{"repos":["tiger-ai-lab/anyv2v"],"state":"official (archive's flag): 2 ran","n_ran":2,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":5,"ran_from_kinds":["official"]}}},{"url":"/paper/mora-enabling-generalist-video-generation-via","slug":"mora-enabling-generalist-video-generation-via","title":"Mora: Enabling Generalist Video Generation via A Multi-Agent Framework","date":"2024-03-20","arxiv_id":"2403.13248","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":4,"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/mora-enabling-generalist-video-generation-via#ran","syntology_url":"https://syntology.ai/paper/2403.13248","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2403.13248"}},"official":{"repos":["lichao-sun/mora"],"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/cross-modal-contextualized-diffusion-models","slug":"cross-modal-contextualized-diffusion-models","title":"Contextualized Diffusion Models for Text-Guided Image and Video Generation","date":"2024-02-26","arxiv_id":"2402.16627","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/cross-modal-contextualized-diffusion-models#ran","syntology_url":"https://syntology.ai/paper/2402.16627","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2402.16627"}},"official":{"repos":["yangling0818/contextdiff"],"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/lumiere-a-space-time-diffusion-model-for","slug":"lumiere-a-space-time-diffusion-model-for","title":"Lumiere: A Space-Time Diffusion Model for Video Generation","date":"2024-01-23","arxiv_id":"2401.12945","repositories_listed":1,"syntology":{"n":3,"n_ran":2,"n_constructed":0,"n_ran_checked":2,"n_instrument":0,"n_unverified":1,"n_honours":0,"n_violates":2,"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: 0 honoured, 2 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/lumiere-a-space-time-diffusion-model-for#ran","syntology_url":"https://syntology.ai/paper/2401.12945","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.12945"}},"official":null}},{"url":"/paper/moonshot-towards-controllable-video","slug":"moonshot-towards-controllable-video","title":"Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions","date":"2024-01-03","arxiv_id":"2401.01827","repositories_listed":2,"syntology":{"n":7,"n_ran":5,"n_constructed":0,"n_ran_checked":0,"n_instrument":5,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":0,"n_pointer_only":1,"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) · 2 unverified","sample_list":"/paper/moonshot-towards-controllable-video#ran","syntology_url":"https://syntology.ai/paper/2401.01827","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2401.01827"}},"official":{"repos":["salesforce/lavis"],"state":"official (archive's flag): 5 ran","n_ran":5,"n_constructed":0,"n_ran_no_instrument_failure":0,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/vidtome-video-token-merging-for-zero-shot","slug":"vidtome-video-token-merging-for-zero-shot","title":"VidToMe: Video Token Merging for Zero-Shot Video Editing","date":"2023-12-17","arxiv_id":"2312.10656","repositories_listed":1,"syntology":{"n":16,"n_ran":12,"n_constructed":0,"n_ran_checked":11,"n_instrument":1,"n_unverified":4,"n_honours":1,"n_violates":1,"n_no_contract":9,"n_pointer_only":0,"phrase":"12 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 1 honoured, 1 violated, 9 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/vidtome-video-token-merging-for-zero-shot#ran","syntology_url":"https://syntology.ai/paper/2312.10656","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.10656"}},"official":{"repos":["lixirui142/VidToMe"],"state":"official (archive's flag): 12 ran","n_ran":12,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/rave-randomized-noise-shuffling-for-fast-and","slug":"rave-randomized-noise-shuffling-for-fast-and","title":"RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models","date":"2023-12-07","arxiv_id":"2312.04524","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":1,"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/rave-randomized-noise-shuffling-for-fast-and#ran","syntology_url":"https://syntology.ai/paper/2312.04524","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.04524"}},"official":{"repos":["rehg-lab/rave"],"state":"official (archive's flag): 9 ran","n_ran":9,"n_constructed":0,"n_ran_no_instrument_failure":8,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/bivdiff-a-training-free-framework-for-general","slug":"bivdiff-a-training-free-framework-for-general","title":"BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models","date":"2023-12-05","arxiv_id":"2312.02813","repositories_listed":1,"syntology":{"n":6,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":3,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"3 ran (of which 0 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) · 3 unverified","sample_list":"/paper/bivdiff-a-training-free-framework-for-general#ran","syntology_url":"https://syntology.ai/paper/2312.02813","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.02813"}},"official":{"repos":["mcg-nju/bivdiff"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/dragvideo-interactive-drag-style-video","slug":"dragvideo-interactive-drag-style-video","title":"DragVideo: Interactive Drag-style Video Editing","date":"2023-12-03","arxiv_id":"2312.02216","repositories_listed":1,"syntology":{"n":14,"n_ran":11,"n_constructed":0,"n_ran_checked":11,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":11,"n_pointer_only":14,"phrase":"11 ran (of which 0 constructed an object rather than computing a result; 11 with no instrument failure: 0 honoured, 0 violated, 11 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/dragvideo-interactive-drag-style-video#ran","syntology_url":"https://syntology.ai/paper/2312.02216","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.02216"}},"official":{"repos":["rickyskywalker/dragvideo-official"],"state":"official (archive's flag): 11 ran","n_ran":11,"n_constructed":0,"n_ran_no_instrument_failure":11,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/vmc-video-motion-customization-using-temporal","slug":"vmc-video-motion-customization-using-temporal","title":"VMC: Video Motion Customization using Temporal Attention Adaption for Text-to-Video Diffusion Models","date":"2023-12-01","arxiv_id":"2312.00845","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":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) · 0 unverified","sample_list":"/paper/vmc-video-motion-customization-using-temporal#ran","syntology_url":"https://syntology.ai/paper/2312.00845","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2312.00845"}},"official":{"repos":["HyeonHo99/Video-Motion-Customization"],"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/videoassembler-identity-consistent-video","slug":"videoassembler-identity-consistent-video","title":"MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing","date":"2023-11-29","arxiv_id":"2311.17338","repositories_listed":1,"syntology":{"n":12,"n_ran":10,"n_constructed":0,"n_ran_checked":9,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":2,"n_no_contract":7,"n_pointer_only":12,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 0 honoured, 2 violated, 7 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/videoassembler-identity-consistent-video#ran","syntology_url":"https://syntology.ai/paper/2311.17338","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.17338"}},"official":{"repos":["gulucaptain/videoassembler"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/consistent-video-to-video-transfer-using","slug":"consistent-video-to-video-transfer-using","title":"Consistent Video-to-Video Transfer Using Synthetic Dataset","date":"2023-11-01","arxiv_id":"2311.00213","repositories_listed":1,"syntology":{"n":9,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":3,"n_honours":0,"n_violates":2,"n_no_contract":3,"n_pointer_only":0,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 2 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/consistent-video-to-video-transfer-using#ran","syntology_url":"https://syntology.ai/paper/2311.00213","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2311.00213"}},"official":{"repos":["amazon-science/instruct-video-to-video"],"state":"official (archive's flag): 6 ran","n_ran":6,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/lamp-learn-a-motion-pattern-for-few-shot","slug":"lamp-learn-a-motion-pattern-for-few-shot","title":"LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation","date":"2023-10-16","arxiv_id":"2310.10769","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/lamp-learn-a-motion-pattern-for-few-shot#ran","syntology_url":"https://syntology.ai/paper/2310.10769","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.10769"}},"official":{"repos":["RQ-Wu/LAMP"],"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/cross-modal-cognitive-consensus-guided-audio","slug":"cross-modal-cognitive-consensus-guided-audio","title":"Cross-modal Cognitive Consensus guided Audio-Visual Segmentation","date":"2023-10-10","arxiv_id":"2310.06259","repositories_listed":1,"syntology":{"n":12,"n_ran":10,"n_constructed":0,"n_ran_checked":9,"n_instrument":1,"n_unverified":2,"n_honours":0,"n_violates":0,"n_no_contract":9,"n_pointer_only":12,"phrase":"10 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; 1 where Syntology's instrument failed) · 2 unverified","sample_list":"/paper/cross-modal-cognitive-consensus-guided-audio#ran","syntology_url":"https://syntology.ai/paper/2310.06259","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.06259"}},"official":{"repos":["zhaofengshi/avs-c3n"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":9,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/flatten-optical-flow-guided-attention-for","slug":"flatten-optical-flow-guided-attention-for","title":"FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing","date":"2023-10-09","arxiv_id":"2310.05922","repositories_listed":1,"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":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) · 3 unverified","sample_list":"/paper/flatten-optical-flow-guided-attention-for#ran","syntology_url":"https://syntology.ai/paper/2310.05922","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.05922"}},"official":null}},{"url":"/paper/ground-a-video-zero-shot-grounded-video","slug":"ground-a-video-zero-shot-grounded-video","title":"Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models","date":"2023-10-02","arxiv_id":"2310.01107","repositories_listed":1,"syntology":{"n":12,"n_ran":8,"n_constructed":0,"n_ran_checked":6,"n_instrument":2,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":6,"n_pointer_only":12,"phrase":"8 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; 2 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/ground-a-video-zero-shot-grounded-video#ran","syntology_url":"https://syntology.ai/paper/2310.01107","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2310.01107"}},"official":{"repos":["ground-a-video/ground-a-video"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":6,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/stablevideo-text-driven-consistency-aware","slug":"stablevideo-text-driven-consistency-aware","title":"StableVideo: Text-driven Consistency-aware Diffusion Video Editing","date":"2023-08-18","arxiv_id":"2308.09592","repositories_listed":1,"syntology":{"n":11,"n_ran":10,"n_constructed":0,"n_ran_checked":7,"n_instrument":3,"n_unverified":1,"n_honours":1,"n_violates":2,"n_no_contract":4,"n_pointer_only":3,"phrase":"10 ran (of which 0 constructed an object rather than computing a result; 7 with no instrument failure: 1 honoured, 2 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/stablevideo-text-driven-consistency-aware#ran","syntology_url":"https://syntology.ai/paper/2308.09592","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.09592"}},"official":{"repos":["rese1f/stablevideo"],"state":"official (archive's flag): 10 ran","n_ran":10,"n_constructed":0,"n_ran_no_instrument_failure":7,"n_unverified":1,"ran_from_kinds":["official"]}}},{"url":"/paper/dynamic-3d-gaussians-tracking-by-persistent","slug":"dynamic-3d-gaussians-tracking-by-persistent","title":"Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesis","date":"2023-08-18","arxiv_id":"2308.09713","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/dynamic-3d-gaussians-tracking-by-persistent#ran","syntology_url":"https://syntology.ai/paper/2308.09713","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.09713"}},"official":{"repos":["JonathonLuiten/Dynamic3DGaussians"],"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/edit-temporal-consistent-videos-with-image","slug":"edit-temporal-consistent-videos-with-image","title":"Edit Temporal-Consistent Videos with Image Diffusion Model","date":"2023-08-17","arxiv_id":"2308.09091","repositories_listed":1,"syntology":{"n":6,"n_ran":3,"n_constructed":0,"n_ran_checked":3,"n_instrument":0,"n_unverified":3,"n_honours":0,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/edit-temporal-consistent-videos-with-image#ran","syntology_url":"https://syntology.ai/paper/2308.09091","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2308.09091"}},"official":{"repos":["mdswyz/TCVE"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":3,"n_unverified":3,"ran_from_kinds":["official"]}}},{"url":"/paper/tokenflow-consistent-diffusion-features-for","slug":"tokenflow-consistent-diffusion-features-for","title":"TokenFlow: Consistent Diffusion Features for Consistent Video Editing","date":"2023-07-19","arxiv_id":"2307.10373","repositories_listed":1,"syntology":{"n":6,"n_ran":5,"n_constructed":0,"n_ran_checked":4,"n_instrument":1,"n_unverified":1,"n_honours":0,"n_violates":1,"n_no_contract":3,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified","sample_list":"/paper/tokenflow-consistent-diffusion-features-for#ran","syntology_url":"https://syntology.ai/paper/2307.10373","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2307.10373"}},"official":null}},{"url":"/paper/dugmatting-decomposed-uncertainty-guided","slug":"dugmatting-decomposed-uncertainty-guided","title":"dugMatting: Decomposed-Uncertainty-Guided Matting","date":"2023-06-02","arxiv_id":"2306.01452","repositories_listed":1,"syntology":{"n":10,"n_ran":5,"n_constructed":0,"n_ran_checked":5,"n_instrument":0,"n_unverified":5,"n_honours":2,"n_violates":0,"n_no_contract":3,"n_pointer_only":0,"phrase":"5 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 2 honoured, 0 violated, 3 with no contract checked; 0 where Syntology's instrument failed) · 5 unverified","sample_list":"/paper/dugmatting-decomposed-uncertainty-guided#ran","syntology_url":"https://syntology.ai/paper/2306.01452","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.01452"}},"official":{"repos":["fire-friend/dugmatting"],"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/fdnerf-semantics-driven-face-reconstruction","slug":"fdnerf-semantics-driven-face-reconstruction","title":"FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models","date":"2023-06-01","arxiv_id":"2306.00783","repositories_listed":2,"syntology":{"n":3,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":0,"n_honours":1,"n_violates":1,"n_no_contract":0,"n_pointer_only":3,"phrase":"3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/fdnerf-semantics-driven-face-reconstruction#ran","syntology_url":"https://syntology.ai/paper/2306.00783","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2306.00783"}},"official":{"repos":["billyxyb/facednerf","billyxyb/fdnerf"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":0,"ran_from_kinds":["official"]}}},{"url":"/paper/controlvideo-adding-conditional-control-for","slug":"controlvideo-adding-conditional-control-for","title":"ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond","date":"2023-05-26","arxiv_id":"2305.17098","repositories_listed":1,"syntology":{"n":11,"n_ran":7,"n_constructed":0,"n_ran_checked":5,"n_instrument":2,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":5,"n_pointer_only":1,"phrase":"7 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; 2 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/controlvideo-adding-conditional-control-for#ran","syntology_url":"https://syntology.ai/paper/2305.17098","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2305.17098"}},"official":{"repos":["thu-ml/controlvideo"],"state":"official (archive's flag): 7 ran","n_ran":7,"n_constructed":0,"n_ran_no_instrument_failure":5,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/fatezero-fusing-attentions-for-zero-shot-text","slug":"fatezero-fusing-attentions-for-zero-shot-text","title":"FateZero: Fusing Attentions for Zero-shot Text-based Video Editing","date":"2023-03-16","arxiv_id":"2303.09535","repositories_listed":1,"syntology":{"n":12,"n_ran":8,"n_constructed":0,"n_ran_checked":4,"n_instrument":4,"n_unverified":4,"n_honours":0,"n_violates":0,"n_no_contract":4,"n_pointer_only":5,"phrase":"8 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; 4 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/fatezero-fusing-attentions-for-zero-shot-text#ran","syntology_url":"https://syntology.ai/paper/2303.09535","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.09535"}},"official":{"repos":["chenyangqiqi/fatezero"],"state":"official (archive's flag): 8 ran","n_ran":8,"n_constructed":0,"n_ran_no_instrument_failure":4,"n_unverified":4,"ran_from_kinds":["official"]}}},{"url":"/paper/a-light-weight-model-for-active-speaker","slug":"a-light-weight-model-for-active-speaker","title":"A Light Weight Model for Active Speaker Detection","date":"2023-03-08","arxiv_id":"2303.04439","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/a-light-weight-model-for-active-speaker#ran","syntology_url":"https://syntology.ai/paper/2303.04439","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2303.04439"}},"official":{"repos":["junhua-liao/light-asd"],"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/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/videoretalking-audio-based-lip","slug":"videoretalking-audio-based-lip","title":"VideoReTalking: Audio-based Lip Synchronization for Talking Head Video Editing In the Wild","date":"2022-11-27","arxiv_id":"2211.14758","repositories_listed":1,"syntology":{"n":9,"n_ran":6,"n_constructed":0,"n_ran_checked":5,"n_instrument":1,"n_unverified":3,"n_honours":0,"n_violates":1,"n_no_contract":4,"n_pointer_only":1,"phrase":"6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 1 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 3 unverified","sample_list":"/paper/videoretalking-audio-based-lip#ran","syntology_url":"https://syntology.ai/paper/2211.14758","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2211.14758"}},"official":null}},{"url":"/paper/deformable-sprites-for-unsupervised-video","slug":"deformable-sprites-for-unsupervised-video","title":"Deformable Sprites for Unsupervised Video Decomposition","date":"2022-04-14","arxiv_id":"2204.07151","repositories_listed":1,"syntology":{"n":11,"n_ran":2,"n_constructed":0,"n_ran_checked":1,"n_instrument":1,"n_unverified":9,"n_honours":1,"n_violates":0,"n_no_contract":0,"n_pointer_only":11,"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) · 9 unverified","sample_list":"/paper/deformable-sprites-for-unsupervised-video#ran","syntology_url":"https://syntology.ai/paper/2204.07151","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.07151"}},"official":null}},{"url":"/paper/text2live-text-driven-layered-image-and-video","slug":"text2live-text-driven-layered-image-and-video","title":"Text2LIVE: Text-Driven Layered Image and Video Editing","date":"2022-04-05","arxiv_id":"2204.02491","repositories_listed":1,"syntology":{"n":5,"n_ran":3,"n_constructed":0,"n_ran_checked":2,"n_instrument":1,"n_unverified":2,"n_honours":1,"n_violates":0,"n_no_contract":1,"n_pointer_only":0,"phrase":"3 ran (of which 0 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) · 2 unverified","sample_list":"/paper/text2live-text-driven-layered-image-and-video#ran","syntology_url":"https://syntology.ai/paper/2204.02491","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2204.02491"}},"official":{"repos":["omerbt/Text2LIVE"],"state":"official (archive's flag): 3 ran","n_ran":3,"n_constructed":0,"n_ran_no_instrument_failure":2,"n_unverified":2,"ran_from_kinds":["official"]}}},{"url":"/paper/layered-neural-atlases-for-consistent-video","slug":"layered-neural-atlases-for-consistent-video","title":"Layered Neural Atlases for Consistent Video Editing","date":"2021-09-23","arxiv_id":"2109.11418","repositories_listed":2,"syntology":{"n":17,"n_ran":13,"n_constructed":0,"n_ran_checked":12,"n_instrument":1,"n_unverified":4,"n_honours":1,"n_violates":0,"n_no_contract":11,"n_pointer_only":1,"phrase":"13 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; 1 where Syntology's instrument failed) · 4 unverified","sample_list":"/paper/layered-neural-atlases-for-consistent-video#ran","syntology_url":"https://syntology.ai/paper/2109.11418","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2109.11418"}},"official":null}}],"record_sha256":"003dcdbc664e3a6543936ecbd2437ce7af1068e08f670774a984931c5555f0cd","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}