{"id":"https://openalex.org/W7162814944","doi":"https://doi.org/10.48550/arxiv.2605.29509","title":"KGEdit: Ambiguity-Aware Knowledge Graphs for Training-Free Precise Video Generation and Editing","display_name":"KGEdit: Ambiguity-Aware Knowledge Graphs for Training-Free Precise Video Generation and Editing","publication_year":2026,"publication_date":"2026-05-28","ids":{"openalex":"https://openalex.org/W7162814944","doi":"https://doi.org/10.48550/arxiv.2605.29509"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.29509","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.29509","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.29509","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121332523","display_name":"Mingshu Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Mingshu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137323608","display_name":"Miao Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Miao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137376019","display_name":"Chenghe Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Chenghe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137309323","display_name":"Yixuan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yixuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137379104","display_name":"Osamu Yoshie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoshie, Osamu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5005421825","display_name":"Yuya Ieiri","orcid":"https://orcid.org/0000-0001-7112-5036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ieiri, Yuya","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.3321000039577484,"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":0.3321000039577484,"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":0.32899999618530273,"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/T11439","display_name":"Video Analysis and Summarization","score":0.08550000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.5584999918937683},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5245000123977661},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4733000099658966},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4560000002384186},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.44609999656677246},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4447999894618988},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4431999921798706},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.38109999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8241000175476074},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.5584999918937683},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5245000123977661},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4733000099658966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45910000801086426},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4560000002384186},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.44609999656677246},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37869998812675476},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.320499986410141},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.31859999895095825},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C103692084","wikidata":"https://www.wikidata.org/wiki/Q1765824","display_name":"Semantic grid","level":3,"score":0.296999990940094},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.2840000092983246},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2687000036239624}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.29509","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.29509","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.29509","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.29509","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"In":[0,100],"recent":[1],"years,":[2],"training-free":[3],"video":[4],"generation":[5],"has":[6],"progressed":[7],"remarkably.":[8],"However,":[9],"when":[10],"handling":[11],"complex":[12],"textual":[13],"instructions,":[14],"existing":[15,136],"methods":[16,137],"still":[17],"suffer":[18],"from":[19],"semantic":[20,37,80,87,98,106,113,126],"ambiguity,":[21],"incorrect":[22],"concept":[23],"binding,":[24],"and":[25,56,72,128,141,148],"cross-frame":[26],"inconsistency.":[27],"To":[28],"address":[29],"these":[30,86],"issues,":[31],"we":[32,46,102],"propose":[33],"KGEdit,":[34],"a":[35,78,104],"structured":[36,67,79],"control":[38,107],"framework":[39],"for":[40],"text-to-video":[41],"(T2V)":[42],"diffusion":[43,94],"models.":[44],"Specifically,":[45],"first":[47],"construct":[48],"an":[49],"ambiguity-aware":[50],"knowledge":[51],"graph":[52],"(AAKG)":[53],"to":[54,84,116],"disentangle":[55],"disambiguate":[57],"the":[58,93,117,121],"input":[59],"prompt,":[60],"converting":[61],"it":[62],"into":[63,89],"four":[64],"types":[65],"of":[66,92,120],"semantics:":[68],"identity,":[69],"relation,":[70],"attribute,":[71],"negative":[73],"constraints.":[74],"We":[75],"then":[76],"design":[77],"injection":[81],"module":[82,109],"(SSIM)":[83],"inject":[85],"signals":[88],"key":[90],"layers":[91],"Transformer,":[95],"enabling":[96],"fine-grained":[97],"control.":[99],"addition,":[101],"introduce":[103],"temporal-aware":[105],"(TASC)":[108],"that":[110,133],"dynamically":[111],"schedules":[112],"objectives":[114],"according":[115],"stage-wise":[118],"characteristics":[119],"denoising":[122],"process,":[123],"further":[124],"improving":[125],"alignment":[127],"temporal":[129,142],"consistency.":[130],"Experiments":[131],"show":[132],"KGEdit":[134],"outperforms":[135],"in":[138,150],"editing":[139],"precision":[140],"stability,":[143],"while":[144],"offering":[145],"higher":[146],"efficiency":[147],"controllability":[149],"text-driven":[151],"interaction":[152],"scenarios.":[153]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-30T00:00:00"}