{"id":"https://openalex.org/W4398191820","doi":"https://doi.org/10.48550/arxiv.2405.11236","title":"TriLoRA: Integrating SVD for Advanced Style Personalization in Text-to-Image Generation","display_name":"TriLoRA: Integrating SVD for Advanced Style Personalization in Text-to-Image Generation","publication_year":2024,"publication_date":"2024-05-18","ids":{"openalex":"https://openalex.org/W4398191820","doi":"https://doi.org/10.48550/arxiv.2405.11236"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2405.11236","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.11236","pdf_url":"https://arxiv.org/pdf/2405.11236","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2405.11236","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100593771","display_name":"Chengcheng Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Feng, Chengcheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100527954","display_name":"Mu He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Mu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101363851","display_name":"Qiuyu Tian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tian, Qiuyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101297049","display_name":"Haojie Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yin, Haojie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100750789","display_name":"Xiaofang Zhao","orcid":"https://orcid.org/0000-0002-8865-9250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Xiaofang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109937461","display_name":"Hongwei Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Hongwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5113223457","display_name":"Xingqiang Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Xingqiang","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100593771"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"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/T10028","display_name":"Topic Modeling","score":0.9901000261306763,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9901000261306763,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9884999990463257,"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/T11439","display_name":"Video Analysis and Summarization","score":0.963699996471405,"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/personalization","display_name":"Personalization","score":0.889821469783783},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.7052443027496338},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.6012650728225708},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5991537570953369},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5564810037612915},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4325527846813202},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35006460547447205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32467085123062134},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.29350632429122925},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.13385605812072754},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.06904357671737671}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.889821469783783},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.7052443027496338},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.6012650728225708},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5991537570953369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5564810037612915},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4325527846813202},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35006460547447205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32467085123062134},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29350632429122925},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.13385605812072754},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.06904357671737671}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2405.11236","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.11236","pdf_url":"https://arxiv.org/pdf/2405.11236","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2405.11236","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2405.11236","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2405.11236","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.11236","pdf_url":"https://arxiv.org/pdf/2405.11236","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4398191820.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W4391210591","https://openalex.org/W1582019636","https://openalex.org/W3121932492","https://openalex.org/W1499005795","https://openalex.org/W4232638561","https://openalex.org/W3172493050","https://openalex.org/W4385420271","https://openalex.org/W4312192618"],"abstract_inverted_index":{"As":[0],"deep":[1],"learning":[2],"technology":[3],"continues":[4],"to":[5,55,136],"advance,":[6],"image":[7,87,172],"generation":[8,88,173],"models,":[9],"especially":[10],"models":[11,26],"like":[12],"Stable":[13],"Diffusion,":[14],"are":[15],"finding":[16],"increasingly":[17],"widespread":[18],"application":[19],"in":[20,36,41,171],"visual":[21],"arts":[22],"creation.":[23],"However,":[24],"these":[25,56],"often":[27],"face":[28],"challenges":[29],"such":[30],"as":[31],"overfitting,":[32],"lack":[33],"of":[34,86,105,112,155],"stability":[35,111],"generated":[37],"results,":[38],"and":[39,83,115,130,148,180],"difficulties":[40],"accurately":[42],"capturing":[43],"the":[44,50,70,80,94,103,110,131,144,153,177],"features":[45],"desired":[46],"by":[47],"creators":[48],"during":[49],"fine-tuning":[51,81,138],"process.":[52],"In":[53],"response":[54],"challenges,":[57],"we":[58],"propose":[59],"an":[60],"innovative":[61],"method":[62,98,126,159],"that":[63],"integrates":[64],"Singular":[65],"Value":[66],"Decomposition":[67],"(SVD)":[68],"into":[69],"Low-Rank":[71],"Adaptation":[72],"(LoRA)":[73],"parameter":[74],"update":[75],"strategy,":[76],"aimed":[77],"at":[78],"enhancing":[79],"efficiency":[82,179],"output":[84],"quality":[85,154,174],"models.":[89],"By":[90],"incorporating":[91],"SVD":[92],"within":[93],"LoRA":[95],"framework,":[96],"our":[97,125,140],"not":[99],"only":[100],"effectively":[101],"reduces":[102],"risk":[104],"overfitting":[106],"but":[107],"also":[108],"enhances":[109],"model":[113],"outputs,":[114],"captures":[116],"subtle,":[117],"creator-desired":[118],"feature":[119],"adjustments":[120],"more":[121],"accurately.":[122],"We":[123],"evaluated":[124],"on":[127],"multiple":[128],"datasets,":[129],"results":[132],"show":[133],"that,":[134],"compared":[135],"traditional":[137],"methods,":[139],"approach":[141],"significantly":[142],"improves":[143],"model's":[145],"generalization":[146],"ability":[147],"creative":[149],"flexibility":[150],"while":[151],"maintaining":[152],"generation.":[156],"Moreover,":[157],"this":[158],"maintains":[160],"LoRA's":[161],"excellent":[162],"performance":[163],"under":[164],"resource-constrained":[165],"conditions,":[166],"allowing":[167],"for":[168],"significant":[169],"improvements":[170],"without":[175],"sacrificing":[176],"original":[178],"resource":[181],"advantages.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
