{"id":"https://openalex.org/W7134825567","doi":"https://doi.org/10.48550/arxiv.2603.06688","title":"Narrative Weaver: Towards Controllable Long-Range Visual Consistency with Multi-Modal Conditioning","display_name":"Narrative Weaver: Towards Controllable Long-Range Visual Consistency with Multi-Modal Conditioning","publication_year":2026,"publication_date":"2026-03-04","ids":{"openalex":"https://openalex.org/W7134825567","doi":"https://doi.org/10.48550/arxiv.2603.06688"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.06688","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124128498","display_name":"Zhengjian Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Zhengjian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128659151","display_name":"Yongzhi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yongzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101899852","display_name":"Xinyuan Gao","orcid":"https://orcid.org/0009-0007-2831-3956"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Xinyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128676251","display_name":"Quan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Quan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128655325","display_name":"Peng Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128674579","display_name":"Yanye Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Yanye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30518155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7684999704360962,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.7684999704360962,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.19370000064373016,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.0052999998442828655,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.7612000107765198},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.637499988079071},{"id":"https://openalex.org/keywords/storyboard","display_name":"Storyboard","score":0.5227000117301941},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.47380000352859497},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44699999690055847},{"id":"https://openalex.org/keywords/closed-captioning","display_name":"Closed captioning","score":0.4375},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4309000074863434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829999923706055},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.7612000107765198},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.637499988079071},{"id":"https://openalex.org/C2777080924","wikidata":"https://www.wikidata.org/wiki/Q334667","display_name":"Storyboard","level":2,"score":0.5227000117301941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4966000020503998},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.47380000352859497},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44699999690055847},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.4375},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4309000074863434},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42969998717308044},{"id":"https://openalex.org/C2780878386","wikidata":"https://www.wikidata.org/wiki/Q1659648","display_name":"Visual language","level":2,"score":0.3939000070095062},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37720000743865967},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3628999888896942},{"id":"https://openalex.org/C68389820","wikidata":"https://www.wikidata.org/wiki/Q932586","display_name":"Filmmaking","level":3,"score":0.3409999907016754},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C105842133","wikidata":"https://www.wikidata.org/wiki/Q1899679","display_name":"Visual communication","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2741999924182892}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.06688","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.06688","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06688","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.06688","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"\"Narrative":[2],"Weaver\",":[3],"a":[4,9,47,83,94,100,114],"novel":[5,95],"framework":[6],"that":[7,66,104,119],"addresses":[8],"fundamental":[10],"challenge":[11],"in":[12],"generative":[13],"AI:":[14],"achieving":[15,125],"multi-modal":[16],"controllable,":[17],"long-range,":[18],"and":[19,40,56,77,142,180],"consistent":[20],"visual":[21,32,41,106],"content":[22,194],"generation.":[23],"While":[24],"existing":[25,122],"models":[26],"excel":[27],"at":[28],"generating":[29],"high-fidelity":[30],"short-form":[31],"content,":[33],"they":[34],"struggle":[35],"to":[36],"maintain":[37],"narrative":[38,75,91,166],"coherence":[39],"consistency":[42],"across":[43,171],"extended":[44],"sequences":[45],"-":[46,151],"critical":[48],"limitation":[49],"for":[50,89,156,192],"real-world":[51],"applications":[52],"such":[53],"as":[54],"filmmaking":[55],"e-commerce":[57,181],"advertising.":[58],"Narrative":[59],"Weaver":[60],"introduces":[61],"the":[62,134,144,152],"first":[63,153],"holistic":[64],"solution":[65],"seamlessly":[67],"integrates":[68],"three":[69,172],"essential":[70],"capabilities:":[71],"fine-grained":[72,96],"control,":[73],"automatic":[74],"planning,":[76],"long-range":[78],"coherence.":[79],"Our":[80],"architecture":[81],"combines":[82],"Multimodal":[84],"Large":[85],"Language":[86],"Model":[87],"(MLLM)":[88],"high-level":[90],"planning":[92],"with":[93,129,164],"control":[97],"module":[98],"featuring":[99],"dynamic":[101],"Memory":[102],"Bank":[103],"prevents":[105],"drift.":[107],"To":[108],"enable":[109],"practical":[110],"deployment,":[111],"we":[112,140,183],"develop":[113],"progressive,":[115],"multi-stage":[116],"training":[117,131],"strategy":[118],"efficiently":[120],"leverages":[121],"pre-trained":[123],"models,":[124],"state-of-the-art":[126],"performance":[127],"even":[128],"limited":[130],"data.":[132],"Recognizing":[133],"absence":[135],"of":[136],"suitable":[137],"evaluation":[138],"benchmarks,":[139],"construct":[141],"release":[143],"E-commerce":[145],"Advertising":[146],"Video":[147],"Storyboard":[148],"Dataset":[149],"(EAVSD)":[150],"comprehensive":[154],"dataset":[155],"this":[157],"task,":[158],"containing":[159],"over":[160],"330K":[161],"high-quality":[162],"images":[163],"rich":[165],"annotations.":[167],"Through":[168],"extensive":[169],"experiments":[170],"distinct":[173],"scenarios":[174],"(controllable":[175],"multi-scene":[176],"generation,":[177],"autonomous":[178],"storytelling,":[179],"advertising),":[182],"demonstrate":[184],"our":[185],"method's":[186],"superiority":[187],"while":[188],"opening":[189],"new":[190],"possibilities":[191],"AI-driven":[193],"creation.":[195]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2026-03-11T00:00:00"}