{"id":"https://openalex.org/W4405303762","doi":"https://doi.org/10.1109/tip.2024.3512365","title":"VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image Fusion","display_name":"VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image Fusion","publication_year":2024,"publication_date":"2024-12-12","ids":{"openalex":"https://openalex.org/W4405303762","doi":"https://doi.org/10.1109/tip.2024.3512365","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030526"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3512365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3512365","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101814526","display_name":"Yu Shi","orcid":"https://orcid.org/0000-0002-5737-0147"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Shi","raw_affiliation_strings":["Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100618357","display_name":"Y\u00fc Liu","orcid":"https://orcid.org/0000-0003-2211-3535"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029209486","display_name":"Juan Cheng","orcid":"https://orcid.org/0000-0003-1206-1698"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Cheng","raw_affiliation_strings":["Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051587486","display_name":"Z. Jane Wang","orcid":"https://orcid.org/0000-0002-3791-0249"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Z. Jane Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451602","display_name":"Xun Chen","orcid":"https://orcid.org/0000-0002-4922-8116"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Chen","raw_affiliation_strings":["Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101814526"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":15.3438,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.99290176,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"34","issue":null,"first_page":"441","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.6327886581420898},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6011052131652832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5873339176177979},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.509776771068573},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49945950508117676},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44068267941474915},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4291588068008423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4195246398448944}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6327886581420898},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6011052131652832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5873339176177979},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.509776771068573},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49945950508117676},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44068267941474915},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4291588068008423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4195246398448944},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3512365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3512365","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:40030526","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030526","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4796041494","display_name":null,"funder_award_id":"U23A20294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4945367125","display_name":null,"funder_award_id":"62176081","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5399244241","display_name":null,"funder_award_id":"62171176","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":91,"referenced_works":["https://openalex.org/W1563899710","https://openalex.org/W1964641132","https://openalex.org/W1965557194","https://openalex.org/W1994714721","https://openalex.org/W1997480692","https://openalex.org/W1997596006","https://openalex.org/W1999316653","https://openalex.org/W2026651590","https://openalex.org/W2026916126","https://openalex.org/W2034995331","https://openalex.org/W2054273865","https://openalex.org/W2062599688","https://openalex.org/W2068941797","https://openalex.org/W2074907730","https://openalex.org/W2091649119","https://openalex.org/W2108283046","https://openalex.org/W2114207195","https://openalex.org/W2121219287","https://openalex.org/W2133665775","https://openalex.org/W2146353910","https://openalex.org/W2165409093","https://openalex.org/W2281258836","https://openalex.org/W2461851607","https://openalex.org/W2473964400","https://openalex.org/W2532801510","https://openalex.org/W2557682050","https://openalex.org/W2559870345","https://openalex.org/W2746410086","https://openalex.org/W2783573276","https://openalex.org/W2798987894","https://openalex.org/W2808591023","https://openalex.org/W2898653582","https://openalex.org/W2901572775","https://openalex.org/W2912147220","https://openalex.org/W2963787388","https://openalex.org/W2974938852","https://openalex.org/W2978622574","https://openalex.org/W2990293450","https://openalex.org/W2998012573","https://openalex.org/W2998529071","https://openalex.org/W3005577541","https://openalex.org/W3011768656","https://openalex.org/W3035441328","https://openalex.org/W3036032447","https://openalex.org/W3039186706","https://openalex.org/W3046194589","https://openalex.org/W3089599917","https://openalex.org/W3105639468","https://openalex.org/W3131111098","https://openalex.org/W3171420223","https://openalex.org/W3216987090","https://openalex.org/W4283732315","https://openalex.org/W4285224173","https://openalex.org/W4285291903","https://openalex.org/W4286361941","https://openalex.org/W4288391270","https://openalex.org/W4289654558","https://openalex.org/W4292553585","https://openalex.org/W4292972089","https://openalex.org/W4307814425","https://openalex.org/W4308235802","https://openalex.org/W4311415873","https://openalex.org/W4312594135","https://openalex.org/W4313267411","https://openalex.org/W4319663739","https://openalex.org/W4360884927","https://openalex.org/W4362496246","https://openalex.org/W4365440911","https://openalex.org/W4367281152","https://openalex.org/W4377079729","https://openalex.org/W4379741379","https://openalex.org/W4381620643","https://openalex.org/W4382119107","https://openalex.org/W4383860444","https://openalex.org/W4384916907","https://openalex.org/W4385752950","https://openalex.org/W4386076504","https://openalex.org/W4386986828","https://openalex.org/W4387682254","https://openalex.org/W4390872797","https://openalex.org/W4391468387","https://openalex.org/W4391952683","https://openalex.org/W4402753825","https://openalex.org/W6679045638","https://openalex.org/W6695277419","https://openalex.org/W6721223673","https://openalex.org/W6774006736","https://openalex.org/W6779823529","https://openalex.org/W6795288823","https://openalex.org/W6851726113","https://openalex.org/W6854608736"],"related_works":["https://openalex.org/W2386346147","https://openalex.org/W2016474688","https://openalex.org/W2392191343","https://openalex.org/W2357430536","https://openalex.org/W3088219559","https://openalex.org/W2992915961","https://openalex.org/W2373946551","https://openalex.org/W2032636564","https://openalex.org/W2350275110","https://openalex.org/W2381578981"],"abstract_inverted_index":{"Image":[0],"fusion":[1,68,123,133,175,185,221],"facilitates":[2],"the":[3,12,34,51,55,61,83,91,95,117,122,126,144,147,152,163,211],"integration":[4],"of":[5,11,36,58,94,172],"information":[6],"from":[7],"various":[8,184,219],"source":[9],"images":[10,80,198],"same":[13],"scene":[14],"into":[15,125],"a":[16,104,135,157,203],"composite":[17],"image,":[18],"thereby":[19,89],"benefiting":[20],"perception,":[21],"analysis,":[22],"and":[23,73,139,174,193],"understanding.":[24],"Recently,":[25],"diffusion":[26,52,87,96,106,127,148],"models":[27,53],"have":[28],"demonstrated":[29],"impressive":[30],"generative":[31],"capabilities":[32],"in":[33,44,50,86,146],"field":[35],"computer":[37],"vision,":[38],"suggesting":[39],"significant":[40],"potential":[41],"for":[42,110,169],"application":[43,93],"image":[45,67,75,111,132,220],"fusion.":[46],"The":[47,223],"forward":[48],"process":[49,129,138],"requires":[54],"gradual":[56],"addition":[57],"noise":[59,145,165,173,190],"to":[60,82,200],"original":[62,84,164],"data.":[63],"However,":[64],"typical":[65],"unsupervised":[66,108],"tasks":[69],"(e.g.,":[70],"infrared-visible,":[71],"medical,":[72],"multi-exposure":[74],"fusion)":[76],"lack":[77],"ground":[78],"truth":[79],"(corresponding":[81],"data":[85],"models),":[88],"preventing":[90],"direct":[92],"models.":[97],"To":[98,150],"address":[99],"this":[100],"problem,":[101],"we":[102,120,155],"propose":[103,156],"versatile":[105],"model-based":[107],"framework":[109,160],"fusion,":[112],"termed":[113],"as":[114,134],"VDMUFusion.":[115],"In":[116],"proposed":[118,212],"method,":[119],"integrate":[121],"problem":[124],"sampling":[128],"by":[130],"formulating":[131],"weighted":[136],"average":[137],"establishing":[140],"appropriate":[141],"assumptions":[142],"about":[143],"model.":[149],"simplify":[151],"training":[153,182,201],"process,":[154],"multi-task":[158],"learning":[159],"that":[161,210],"replaces":[162],"prediction":[166,171,191],"network,":[167],"allowing":[168],"simultaneous":[170],"weights.":[176],"Meanwhile,":[177],"our":[178],"method":[179,213],"employs":[180],"joint":[181],"across":[183,218],"tasks,":[186],"which":[187],"significantly":[188],"improves":[189],"accuracy":[192],"yields":[194],"higher":[195],"quality":[196],"fused":[197],"compared":[199],"on":[202],"single":[204],"task.":[205],"Extensive":[206],"experimental":[207],"results":[208],"demonstrate":[209],"delivers":[214],"very":[215],"competitive":[216],"performance":[217],"tasks.":[222],"code":[224],"is":[225],"available":[226],"at":[227],"https://github.com/yuliu316316/VDMUFusion.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":40}],"updated_date":"2026-03-30T08:08:38.191290","created_date":"2025-10-10T00:00:00"}
