{"id":"https://openalex.org/W7125938410","doi":"https://doi.org/10.1109/smc58881.2025.11343515","title":"Few-shot Font Generation via Adaptive Feature Extraction and Detail Enhancement","display_name":"Few-shot Font Generation via Adaptive Feature Extraction and Detail Enhancement","publication_year":2025,"publication_date":"2025-10-05","ids":{"openalex":"https://openalex.org/W7125938410","doi":"https://doi.org/10.1109/smc58881.2025.11343515"},"language":null,"primary_location":{"id":"doi:10.1109/smc58881.2025.11343515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5124088588","display_name":"Tengchi Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tengchi Lian","raw_affiliation_strings":["Hebei University,School of Cyber Security and Computer and Institute of Intelligence Image and Document Information Processing,Baoding,China"],"affiliations":[{"raw_affiliation_string":"Hebei University,School of Cyber Security and Computer and Institute of Intelligence Image and Document Information Processing,Baoding,China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124067862","display_name":"Fang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Yang","raw_affiliation_strings":["Hebei University,School of Cyber Security and Computer and Institute of Intelligence Image and Document Information Processing,Baoding,China"],"affiliations":[{"raw_affiliation_string":"Hebei University,School of Cyber Security and Computer and Institute of Intelligence Image and Document Information Processing,Baoding,China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124135986","display_name":"Chong Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Zhang","raw_affiliation_strings":["Hebei University,School of Cyber Security and Computer and Institute of Intelligence Image and Document Information Processing,Baoding,China"],"affiliations":[{"raw_affiliation_string":"Hebei University,School of Cyber Security and Computer and Institute of Intelligence Image and Document Information Processing,Baoding,China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5124088588"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.71601708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6160","last_page":"6166"},"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":0.7680000066757202,"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":0.7680000066757202,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.1234000027179718,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.026499999687075615,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/font","display_name":"Font","score":0.7644000053405762},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6381000280380249},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5723999738693237},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.567300021648407},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5127999782562256},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5059000253677368},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.32589998841285706},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.323199987411499}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7645999789237976},{"id":"https://openalex.org/C2777737414","wikidata":"https://www.wikidata.org/wiki/Q4868296","display_name":"Font","level":2,"score":0.7644000053405762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6830000281333923},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6381000280380249},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5723999738693237},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.567300021648407},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5127999782562256},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5059000253677368},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40869998931884766},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.323199987411499},{"id":"https://openalex.org/C21099817","wikidata":"https://www.wikidata.org/wiki/Q7631721","display_name":"Subnet","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C2777146004","wikidata":"https://www.wikidata.org/wiki/Q14949826","display_name":"CLARITY","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc58881.2025.11343515","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc58881.2025.11343515","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.49239635467529297,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2603777577","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2962834855","https://openalex.org/W2963801463","https://openalex.org/W2966926453","https://openalex.org/W2989855043","https://openalex.org/W3034600949","https://openalex.org/W3034839660","https://openalex.org/W3089089712","https://openalex.org/W3098808043","https://openalex.org/W3179392408","https://openalex.org/W3203133880","https://openalex.org/W4312460859","https://openalex.org/W4312866973","https://openalex.org/W4386066434","https://openalex.org/W4393159527","https://openalex.org/W4399813700","https://openalex.org/W4402704510","https://openalex.org/W4403990754","https://openalex.org/W4415798317"],"related_works":[],"abstract_inverted_index":{"Due":[0],"to":[1,70,78,100,117,125,184],"the":[2,22,57,76,131,136,156],"complex":[3],"structures":[4],"of":[5,158],"many":[6],"characters,":[7],"automatic":[8],"font":[9,110,151],"generation":[10],"remains":[11],"a":[12],"challenging":[13],"research":[14],"task.":[15],"Although":[16],"existing":[17,176],"methods":[18],"achieve":[19],"satisfactory":[20],"performance,":[21],"generated":[23,170],"characters":[24,165,171],"still":[25],"suffer":[26],"from":[27,135],"significant":[28],"detail":[29],"loss,":[30,34],"such":[31],"as":[32],"stroke":[33,35],"connection":[36],"issues,":[37],"or":[38],"breakage,":[39],"among":[40],"others.":[41],"To":[42],"address":[43],"this":[44],"issue,":[45],"we":[46],"propose":[47],"an":[48],"approach":[49,140,180],"based":[50],"on":[51,80,130],"Adaptive":[52],"Feature":[53],"Extraction":[54],"(AFE)":[55],"and":[56,66,88,106,121],"Detail":[58],"Enhancement":[59],"Module":[60],"(DEM).":[61],"AFE":[62],"adaptively":[63],"fuses":[64],"local":[65,104],"global":[67,107],"channel":[68],"attention":[69],"enhance":[71,102],"content":[72,137],"feature":[73,98,128,133],"extraction,":[74],"enabling":[75],"network":[77],"focus":[79],"structurally":[81],"important":[82],"features,":[83],"thereby":[84],"improving":[85],"character":[86],"clarity":[87],"consistency.":[89],"DEM":[90],"first":[91],"employs":[92],"multi-scale":[93],"dilated":[94],"depthwise":[95],"convolutions":[96,116],"with":[97,166],"aggregation":[99],"effectively":[101],"both":[103],"details":[105],"contours":[108],"in":[109,149],"structures.":[111],"It":[112],"then":[113],"uses":[114],"deformable":[115],"predict":[118],"displacement":[119],"maps":[120,124,134],"applies":[122],"these":[123],"perform":[126],"geometric":[127],"deformation":[129],"low-level":[132],"encoder.":[138],"This":[139],"improves":[141],"style":[142],"transfer":[143],"accuracy":[144],"while":[145],"preserving":[146],"structural":[147],"consistency":[148],"fine-grained":[150],"generation.":[152,186],"Experimental":[153],"results":[154],"demonstrate":[155],"superiority":[157],"our":[159,179],"method,":[160],"which":[161],"can":[162,181],"generate":[163],"Chinese":[164],"rich":[167],"details.":[168],"The":[169],"outperform":[172],"those":[173],"produced":[174],"by":[175],"methods.":[177],"Furthermore,":[178],"be":[182],"extended":[183],"cross-lingual":[185]},"counts_by_year":[],"updated_date":"2026-01-29T23:17:01.242718","created_date":"2026-01-29T00:00:00"}