{"id":"https://openalex.org/W7151211932","doi":"https://doi.org/10.1109/tpami.2026.3680535","title":"DreamFuse: Toward Realistic and Seamless Image Fusion Across Diverse Scenarios","display_name":"DreamFuse: Toward Realistic and Seamless Image Fusion Across Diverse Scenarios","publication_year":2026,"publication_date":"2026-04-07","ids":{"openalex":"https://openalex.org/W7151211932","doi":"https://doi.org/10.1109/tpami.2026.3680535","pmid":"https://pubmed.ncbi.nlm.nih.gov/41945831"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2026.3680535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3680535","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5069576355","display_name":"Junjia Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjia Huang","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-2914-6232","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133127027","display_name":"Pengxiang Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Pengxiang Yan","raw_affiliation_strings":["ByteDance Intelligent Creation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance Intelligent Creation, Beijing, China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071511255","display_name":"Jiyang Liu","orcid":"https://orcid.org/0000-0003-3699-1646"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiyang Liu","raw_affiliation_strings":["ByteDance Intelligent Creation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance Intelligent Creation, Beijing, China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133096541","display_name":"Jie Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":["ByteDance Intelligent Creation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance Intelligent Creation, Beijing, China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775049","display_name":"Zhongyu Wang","orcid":"https://orcid.org/0000-0001-9314-4799"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhao Wang","raw_affiliation_strings":["ByteDance Intelligent Creation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance Intelligent Creation, Beijing, China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374822","display_name":"Yufei Wang","orcid":"https://orcid.org/0000-0002-2317-9010"},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yitong Wang","raw_affiliation_strings":["ByteDance Intelligent Creation, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ByteDance Intelligent Creation, Beijing, China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133068932","display_name":"Xinglong Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153682","display_name":"Intelligent Health (United Kingdom)","ror":"https://ror.org/0576zak10","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210153682"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xinglong Wu","raw_affiliation_strings":["ByteDance Intelligent Creation, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-5860-5941","affiliations":[{"raw_affiliation_string":"ByteDance Intelligent Creation, Beijing, China","institution_ids":["https://openalex.org/I4210153682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092355007","display_name":"Liang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2248-3755","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133068293","display_name":"Guanbin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanbin Li","raw_affiliation_strings":["School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4805-0926","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39735171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":"8","first_page":"9502","last_page":"9518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.692300021648407,"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":0.692300021648407,"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/T11019","display_name":"Image Enhancement Techniques","score":0.17589999735355377,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.02800000086426735,"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/image-fusion","display_name":"Image fusion","score":0.532800018787384},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4025999903678894},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3889999985694885},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.3659000098705292},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3628999888896942},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.358599990606308},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.3529999852180481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6909999847412109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6384000182151794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5685999989509583},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.532800018787384},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4025999903678894},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.3659000098705292},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3628999888896942},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.358599990606308},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31949999928474426},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2856999933719635},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.2849999964237213},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2842000126838684}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2026.3680535","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2026.3680535","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:41945831","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41945831","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5716986656188965}],"awards":[{"id":"https://openalex.org/G4751043524","display_name":null,"funder_award_id":"62322608","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Image":[0],"fusion":[1,49],"seeks":[2],"to":[3,100,143],"seamlessly":[4],"integrate":[5],"foreground":[6],"objects":[7,22],"with":[8,56],"background":[9],"scenes,":[10],"producing":[11],"realistic":[12],"and":[13,25,30,72,102,121,146],"harmonious":[14],"fused":[15],"images.":[16],"While":[17],"existing":[18,57],"methods":[19],"often":[20],"insert":[21],"directly,":[23],"adaptive":[24],"interactive":[26],"fusion-requiring":[27],"contextual":[28],"adaptation":[29],"foreground-background":[31,104],"interplay-remains":[32],"a":[33,44,61,80,114],"challenging":[34],"yet":[35],"critical":[36],"task.":[37],"To":[38],"address":[39],"this,":[40,76],"we":[41,59,77,112,130],"first":[42],"propose":[43],"pipeline":[45],"for":[46,106],"generating":[47],"high-quality":[48],"data.":[50],"By":[51],"combining":[52],"iterative":[53],"in-context":[54],"learning":[55],"tools,":[58],"curate":[60],"diverse":[62,126],"cross-scene":[63],"dataset":[64],"supporting":[65,125],"three":[66],"core":[67],"tasks:":[68],"object":[69],"integration,":[70],"replacement,":[71],"attribute-referenced":[73],"editing.":[74],"Leveraging":[75],"introduce":[78],"DreamFuse,":[79],"unified":[81],"diffusion-based":[82],"approach":[83],"that":[84],"jointly":[85],"optimizes":[86],"these":[87],"capabilities.":[88],"DreamFuse":[89],"exploits":[90],"the":[91,138],"Diffusion":[92],"Transformer":[93],"(DiT)":[94],"architecture,":[95],"using":[96],"its":[97],"attention":[98],"mechanism":[99],"extract":[101],"align":[103],"features":[105],"coherent":[107],"fusion.":[108,128],"For":[109],"flexible":[110],"control,":[111],"incorporate":[113],"Positional":[115],"Affine":[116],"mechanism,":[117],"enabling":[118],"precise":[119],"spatial":[120],"scale":[122],"adjustments":[123],"while":[124],"text-driven":[127],"Furthermore,":[129],"employ":[131],"Localized":[132],"Direct":[133],"Preference":[134],"Optimization":[135],"(L-DPO),":[136],"refining":[137],"model":[139],"via":[140],"human":[141],"feedback":[142],"enhance":[144],"harmony":[145],"consistency.":[147],"Extensive":[148],"experimental":[149],"results":[150],"demonstrate":[151],"DreamFuse's":[152],"superiority":[153],"over":[154],"state-of-the-art":[155],"approaches":[156],"across":[157],"multiple":[158],"metrics.":[159]},"counts_by_year":[],"updated_date":"2026-07-07T06:14:10.401900","created_date":"2026-04-08T00:00:00"}
