{"id":"https://openalex.org/W7154229020","doi":"https://doi.org/10.48550/arxiv.2604.10023","title":"FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer","display_name":"FREE-Switch: Frequency-based Dynamic LoRA Switch for Style Transfer","publication_year":2026,"publication_date":"2026-04-11","ids":{"openalex":"https://openalex.org/W7154229020","doi":"https://doi.org/10.48550/arxiv.2604.10023"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10023","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10023","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":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.2604.10023","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000186521","display_name":"Shenghe Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Shenghe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133593038","display_name":"Minyu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Minyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133562383","display_name":"Tianhao Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Tianhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133619428","display_name":"Hongzhi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Hongzhi","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9430999755859375,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9430999755859375,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.015399999916553497,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.007199999876320362,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.4794999957084656},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4345000088214874},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.34200000762939453},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.3370000123977661},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.3361999988555908},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.33000001311302185},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.3142000138759613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8228999972343445},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4794999957084656},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4345000088214874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4343999922275543},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3370000123977661},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.31200000643730164},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.31200000643730164},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.302700012922287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29330000281333923},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27619999647140503},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27000001072883606},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10023","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10023","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":"doi:10.48550/arxiv.2604.10023","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10023","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.40345022082328796}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,9,100,148,173],"growing":[2],"availability":[3],"of":[4,98,102,176],"open-sourced":[5],"adapters":[6,91,130,165],"trained":[7],"on":[8],"same":[10],"diffusion":[11,56,104],"backbone":[12],"for":[13,34,68,94,109,166],"diverse":[14],"scenes":[15],"and":[16,39,66,158,169],"objects,":[17],"combining":[18],"these":[19],"pretrained":[20],"weights":[21],"enables":[22],"low-cost":[23],"customized":[24,178],"generation.":[25,179],"However,":[26],"most":[27],"existing":[28],"model":[29],"merging":[30],"methods":[31],"are":[32,63,92],"designed":[33],"classification":[35],"or":[36],"text":[37],"generation,":[38,44],"when":[40],"applied":[41],"to":[42,51,83,143],"image":[43],"they":[45],"suffer":[46],"from":[47],"content":[48],"drift":[49],"due":[50],"error":[52],"accumulation":[53],"across":[54,129],"multiple":[55],"steps.":[57],"For":[58],"image-oriented":[59],"methods,":[60],"training-based":[61],"approaches":[62],"computationally":[64],"expensive":[65],"unsuitable":[67],"edge":[69],"deployment,":[70],"while":[71],"training-free":[72],"ones":[73],"use":[74],"uniform":[75],"fusion":[76],"strategies":[77],"that":[78,88,125,153],"ignore":[79],"inter-adapter":[80],"differences,":[81],"leading":[82],"detail":[84,133],"degradation.":[85],"We":[86],"find":[87],"since":[89],"different":[90,96,107,167],"specialized":[93],"generating":[95],"types":[97],"content,":[99],"contribution":[101],"each":[103,110],"step":[105],"carries":[106],"significance":[108],"adapter.":[111],"Accordingly,":[112],"we":[113,123,136],"propose":[114],"a":[115],"frequency-domain":[116],"importance-driven":[117],"dynamic":[118],"LoRA":[119,160],"switch":[120],"method.":[121],"Furthermore,":[122],"observe":[124],"maintaining":[126],"semantic":[127,149],"consistency":[128],"effectively":[131],"mitigates":[132],"loss;":[134],"thus,":[135],"design":[137],"an":[138],"automatic":[139],"Generation":[140],"Alignment":[141],"mechanism":[142],"align":[144],"generation":[145],"intents":[146],"at":[147],"level.":[150],"Experiments":[151],"demonstrate":[152],"our":[154],"FREE-Switch":[155],"(Frequency-based":[156],"Efficient":[157],"Dynamic":[159],"Switch)":[161],"framework":[162],"efficiently":[163],"combines":[164],"objects":[168],"styles,":[170],"substantially":[171],"reducing":[172],"training":[174],"cost":[175],"high-quality":[177]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-15T00:00:00"}
