{"id":"https://openalex.org/W4415482177","doi":"https://doi.org/10.1109/tai.2025.3624330","title":"Toward a Unified Framework for Consistency Generative Modeling","display_name":"Toward a Unified Framework for Consistency Generative Modeling","publication_year":2025,"publication_date":"2025-10-23","ids":{"openalex":"https://openalex.org/W4415482177","doi":"https://doi.org/10.1109/tai.2025.3624330"},"language":null,"primary_location":{"id":"doi:10.1109/tai.2025.3624330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3624330","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032456103","display_name":"Hongkun Dou","orcid":"https://orcid.org/0000-0001-6185-5369"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongkun Dou","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6185-5369","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002324478","display_name":"Junzhe Lu","orcid":"https://orcid.org/0000-0002-5780-4574"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junzhe Lu","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5780-4574","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035208189","display_name":"Jinyang Du","orcid":"https://orcid.org/0009-0008-3201-0832"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyang Du","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002132556","display_name":"Chengwei Fu","orcid":"https://orcid.org/0000-0002-2185-0560"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengwei Fu","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-9703-0587","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001047616","display_name":"Wen Yao","orcid":"https://orcid.org/0000-0002-3726-7716"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yao","raw_affiliation_strings":["Chinese Academy of Military Science, Defense Innovation Institute, Beijing, China","Defense Innovation Institute, Chinese Academy of Military Science, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5224-9834","affiliations":[{"raw_affiliation_string":"Chinese Academy of Military Science, Defense Innovation Institute, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]},{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Science, Beijing, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043970469","display_name":"Hongjue Li","orcid":"https://orcid.org/0000-0002-0504-2555"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjue Li","raw_affiliation_strings":["School of Astronautics, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0504-2555","affiliations":[{"raw_affiliation_string":"School of Astronautics, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082404485","display_name":"Yue Deng","orcid":"https://orcid.org/0000-0003-2871-8922"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Deng","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2871-8922","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5032456103"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.38008469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"5","first_page":"2761","last_page":"2773"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14147","display_name":"Innovative Approaches in Technology and Social Development","score":0.8158000111579895,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14147","display_name":"Innovative Approaches in Technology and Social Development","score":0.8158000111579895,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.7770000100135803,"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"}},{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.7031000256538391,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/consistency","display_name":"Consistency (knowledge bases)","score":0.741599977016449},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6445000171661377},{"id":"https://openalex.org/keywords/consistency-model","display_name":"Consistency model","score":0.4876999855041504},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.48660001158714294},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42660000920295715},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.38350000977516174},{"id":"https://openalex.org/keywords/generative-design","display_name":"Generative Design","score":0.36340001225471497},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.34220001101493835}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.741599977016449},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6445000171661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6233000159263611},{"id":"https://openalex.org/C37279795","wikidata":"https://www.wikidata.org/wiki/Q2492305","display_name":"Consistency model","level":3,"score":0.4876999855041504},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.48660001158714294},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42660000920295715},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3847000002861023},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.38350000977516174},{"id":"https://openalex.org/C184408114","wikidata":"https://www.wikidata.org/wiki/Q1502022","display_name":"Generative Design","level":3,"score":0.36340001225471497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33410000801086426},{"id":"https://openalex.org/C31388003","wikidata":"https://www.wikidata.org/wiki/Q7624548","display_name":"Strong consistency","level":3,"score":0.32580000162124634},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2833999991416931},{"id":"https://openalex.org/C122377713","wikidata":"https://www.wikidata.org/wiki/Q4422799","display_name":"Weak consistency","level":4,"score":0.28299999237060547},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27619999647140503},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.25459998846054077},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2025.3624330","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2025.3624330","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4613763696","display_name":null,"funder_award_id":"62031001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G645526940","display_name":null,"funder_award_id":"62325101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6644097784","display_name":null,"funder_award_id":"62405014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1985506636","https://openalex.org/W2013035813","https://openalex.org/W2102166818","https://openalex.org/W2209882149","https://openalex.org/W2962785568","https://openalex.org/W2989221291","https://openalex.org/W2997591727","https://openalex.org/W3034600949","https://openalex.org/W3093985743","https://openalex.org/W3176823897","https://openalex.org/W3177242545","https://openalex.org/W4206471589","https://openalex.org/W4220971618","https://openalex.org/W4221144097","https://openalex.org/W4233762729","https://openalex.org/W4242067627","https://openalex.org/W4312933868","https://openalex.org/W4386047807","https://openalex.org/W4386065883","https://openalex.org/W4387968164","https://openalex.org/W4394698426","https://openalex.org/W4394711270","https://openalex.org/W4401210376","https://openalex.org/W4402217687","https://openalex.org/W4402263220","https://openalex.org/W4408883834","https://openalex.org/W7133185417","https://openalex.org/W7133193464","https://openalex.org/W7133244780"],"related_works":[],"abstract_inverted_index":{"Consistency":[0,106,111],"modeling,":[1,50],"a":[2,44,62,78],"novel":[3,74,103],"generative":[4,49,133,154],"paradigm":[5],"inspired":[6],"by":[7],"diffusion":[8,56],"models,":[9],"has":[10],"gained":[11],"traction":[12],"for":[13,47,93],"its":[14,24,31],"capacity":[15],"to":[16,53,144],"facilitate":[17],"real-time":[18],"generation":[19,96,160],"through":[20],"single-step":[21],"sampling.":[22],"While":[23],"advantages":[25],"are":[26],"evident,":[27],"the":[28,54,68,91,116,123,130,138,159,174,177],"understanding":[29],"of":[30,119,132,140,161,176],"underlying":[32],"principles":[33,139],"and":[34,89,109,153,163],"effective":[35],"algorithmic":[36],"enhancements":[37],"remain":[38],"elusive.":[39],"In":[40,98],"response,":[41],"we":[42,76,100,136],"present":[43],"unified":[45],"framework":[46],"consistency":[48,81,87,95,148],"without":[51],"resorting":[52],"predefined":[55],"process.":[57],"Instead,":[58],"it":[59],"directly":[60],"constructs":[61],"probability":[63],"density":[64],"path":[65],"that":[66,84],"bridges":[67],"two":[69,102],"distributions.":[70],"Building":[71],"upon":[72],"this":[73],"perspective,":[75],"introduce":[77,101],"more":[79],"general":[80],"training":[82],"objective":[83],"encapsulates":[85],"previous":[86],"models":[88],"paves":[90],"way":[92],"innovative,":[94],"techniques.":[97],"particular,":[99],"models:":[104],"Poisson":[105],"Models":[107,112],"(PCMs)":[108],"Coupling":[110],"(CCMs),":[113],"which":[114],"extend":[115],"prior":[117],"distribution":[118],"latent":[120],"variables":[121],"beyond":[122],"Gaussian":[124],"form.":[125],"This":[126],"extension":[127],"significantly":[128],"augments":[129],"flexibility":[131],"modeling.":[134],"Furthermore,":[135],"harness":[137],"Optimal":[141],"Transport":[142],"(OT)":[143],"mitigate":[145],"variance":[146],"during":[147],"training,":[149],"substantially":[150],"improving":[151],"convergence":[152],"quality.":[155],"Extensive":[156],"experiments":[157],"on":[158],"synthetic":[162],"real-world":[164],"datasets,":[165],"as":[166,168],"well":[167],"image-to-image":[169],"translation":[170],"tasks":[171],"(I2I),":[172],"demonstrate":[173],"effectiveness":[175],"proposed":[178],"approaches.":[179],"The":[180],"code":[181],"is":[182],"available":[183],"at":[184],"<uri":[185],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[186],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/deng-ai-lab/UniCM</uri>.":[187]},"counts_by_year":[],"updated_date":"2026-05-05T06:06:40.768181","created_date":"2025-10-23T00:00:00"}
