{"id":"https://openalex.org/W4414535509","doi":"https://doi.org/10.2478/jaiscr-2026-0002","title":"S <sup>3</sup> diff: Semantic Fusion and Structure-Guided Global Generation from a Single Image with Diffusion Models","display_name":"S <sup>3</sup> diff: Semantic Fusion and Structure-Guided Global Generation from a Single Image with Diffusion Models","publication_year":2025,"publication_date":"2025-09-26","ids":{"openalex":"https://openalex.org/W4414535509","doi":"https://doi.org/10.2478/jaiscr-2026-0002"},"language":"en","primary_location":{"id":"doi:10.2478/jaiscr-2026-0002","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2026-0002","pdf_url":"https://sciendo.com/pdf/10.2478/jaiscr-2026-0002","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://sciendo.com/pdf/10.2478/jaiscr-2026-0002","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xianjie Zhang","orcid":"https://orcid.org/0009-0004-6049-8506"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianjie Zhang","raw_affiliation_strings":["Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","1 Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China"],"raw_orcid":"https://orcid.org/0009-0004-6049-8506","affiliations":[{"raw_affiliation_string":"Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"1 Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419849","display_name":"Yong Zhang","orcid":"https://orcid.org/0009-0004-2268-1510"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yusen Zhang","raw_affiliation_strings":["Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","1 Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China"],"raw_orcid":"https://orcid.org/0009-0004-2268-1510","affiliations":[{"raw_affiliation_string":"Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"1 Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062694900","display_name":"Yujie He","orcid":"https://orcid.org/0000-0002-2299-4945"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie He","raw_affiliation_strings":["Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","1 Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China"],"raw_orcid":"https://orcid.org/0000-0002-2299-4945","affiliations":[{"raw_affiliation_string":"Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"1 Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","institution_ids":["https://openalex.org/I4210130660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040771051","display_name":"Min Li","orcid":"https://orcid.org/0000-0002-3009-279X"},"institutions":[{"id":"https://openalex.org/I4210130660","display_name":"Xi'an High Tech University","ror":"https://ror.org/03vt7za95","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210130660"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","1 Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China"],"raw_orcid":"https://orcid.org/0000-0002-3009-279X","affiliations":[{"raw_affiliation_string":"Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","institution_ids":["https://openalex.org/I4210130660"]},{"raw_affiliation_string":"1 Xi\u2019an High-Tech Research Institute , Xi\u2019an, Shaanxi , China","institution_ids":["https://openalex.org/I4210130660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210130660"],"apc_list":null,"apc_paid":null,"fwci":1.0472,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.78199902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"16","issue":"1","first_page":"39","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965000152587891,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9965000152587891,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9948999881744385,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.551800012588501},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5199999809265137},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.5033000111579895},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4627000093460083},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4187000095844269},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3569999933242798},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.3253999948501587},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.3197999894618988}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6657999753952026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5734999775886536},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.5033000111579895},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4627000093460083},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.3197999894618988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3124000132083893},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3073999881744385},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.2842000126838684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2800999879837036},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2612999975681305},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2478/jaiscr-2026-0002","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2026-0002","pdf_url":"https://sciendo.com/pdf/10.2478/jaiscr-2026-0002","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2478/jaiscr-2026-0002","is_oa":true,"landing_page_url":"https://doi.org/10.2478/jaiscr-2026-0002","pdf_url":"https://sciendo.com/pdf/10.2478/jaiscr-2026-0002","source":{"id":"https://openalex.org/S4210223945","display_name":"Journal of Artificial Intelligence and Soft Computing Research","issn_l":"2083-2567","issn":["2083-2567","2449-6499"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317241","host_organization_name":"Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology","host_organization_lineage":["https://openalex.org/P4310317241"],"host_organization_lineage_names":["Polish Neural Network Society, the University of Social Sciences in Lodz & Czestochowa University of Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Artificial Intelligence and Soft Computing Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1169865280","display_name":null,"funder_award_id":"2024M754276","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6248946439","display_name":null,"funder_award_id":"62006240","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"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414535509.pdf","grobid_xml":"https://content.openalex.org/works/W4414535509.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W2097117768","https://openalex.org/W2098904378","https://openalex.org/W2108598243","https://openalex.org/W2115273023","https://openalex.org/W2732026016","https://openalex.org/W2962785568","https://openalex.org/W2982041717","https://openalex.org/W2997095758","https://openalex.org/W3119439276","https://openalex.org/W3127284993","https://openalex.org/W3155072588","https://openalex.org/W3158958945","https://openalex.org/W3181346403","https://openalex.org/W3182555022","https://openalex.org/W3191805365","https://openalex.org/W4221158449","https://openalex.org/W4312293341","https://openalex.org/W4312497550","https://openalex.org/W4313152774","https://openalex.org/W4327945465","https://openalex.org/W4360884927","https://openalex.org/W4377695098","https://openalex.org/W4386076617","https://openalex.org/W4389495105","https://openalex.org/W4390873137","https://openalex.org/W4399241997","https://openalex.org/W4405844927","https://openalex.org/W4406858167","https://openalex.org/W4407900684","https://openalex.org/W4408428281","https://openalex.org/W4411244795"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Single-image":[1],"generation":[2,59,133,196],"models":[3,68],"generate":[4,186],"high-quality":[5,187],"and":[6,26,55,90,111,159,167,173,182,188],"diverse":[7,189],"images":[8,38,89],"by":[9],"learning":[10],"the":[11,21,92,105,113,116,132,138,141,154,160,193],"internal":[12],"distribution":[13],"of":[14,23,108,115,140,157,162],"patches":[15],"within":[16],"a":[17,61,79],"single":[18],"image,":[19,143],"addressing":[20],"issue":[22],"data":[24],"scarcity":[25],"attracting":[27],"increasing":[28],"attention.":[29],"However,":[30],"existing":[31],"methods":[32,172],"are":[33],"unsatisfactory":[34],"when":[35],"dealing":[36],"with":[37,39,65,101,165],"global":[40,58,146,195],"structures,":[41],"such":[42],"as":[43],"animal":[44],"images.":[45,118],"To":[46],"address":[47],"this":[48],"issue,":[49],"we":[50,77,121],"propose":[51],"S":[52,56,62,70],"emantic":[53],"fusion":[54,95],"tructure-guided":[57],"from":[60,87],"ingle":[63],"image":[64,102,109,128],"Diff":[66,72],"usion":[67],"(":[69],"3":[71],").":[73],"Specifically,":[74],"during":[75],"training,":[76],"employ":[78],"semantic":[80,85,94,99,181],"extractor":[81],"to":[82,97,130,135,137],"extract":[83],"high-level":[84],"features":[86,100],"training":[88],"use":[91],"proposed":[93,177],"block":[96],"fuse":[98],"features,":[103],"enhancing":[104],"model\u2019s":[106,194],"understanding":[107],"semantics":[110],"improving":[112,192],"quality":[114],"generated":[117],"During":[119],"sampling,":[120],"apply":[122],"manifold":[123,139],"constrained":[124],"gradient":[125],"based":[126],"on":[127,150],"structure":[129],"enforce":[131],"path":[134],"regress":[136],"original":[142],"preserving":[144],"reasonable":[145,180],"structures.":[147],"Extensive":[148],"experiments":[149],"public":[151],"datasets":[152],"demonstrate":[153],"thorough":[155],"exploration":[156],"hyperparameters":[158],"rationality":[161],"key":[163],"designs,":[164],"quantitative":[166],"qualitative":[168],"comparisons":[169],"against":[170],"baseline":[171],"validating":[174],"that":[175],"our":[176],"method":[178],"preserves":[179],"structural":[183],"relationships,":[184],"can":[185],"images,":[190],"significantly":[191],"capabilities.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}