{"id":"https://openalex.org/W4416576446","doi":"https://doi.org/10.1049/ipr2.70252","title":"Semi\u2010Interactive Thangka Floral and Leaf Element Image Generation Network Based on Hand\u2010Drawn Sketches","display_name":"Semi\u2010Interactive Thangka Floral and Leaf Element Image Generation Network Based on Hand\u2010Drawn Sketches","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416576446","doi":"https://doi.org/10.1049/ipr2.70252"},"language":"en","primary_location":{"id":"doi:10.1049/ipr2.70252","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ipr2.70252","pdf_url":null,"source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1049/ipr2.70252","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004442488","display_name":"Da Sun","orcid":"https://orcid.org/0009-0005-6673-2743"},"institutions":[{"id":"https://openalex.org/I20616075","display_name":"Qinghai Normal University","ror":"https://ror.org/03az1t892","country_code":"CN","type":"education","lineage":["https://openalex.org/I20616075"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Sun","raw_affiliation_strings":["School of Computer Science Qinghai Normal University  Xining Qinghai China","The State Key Laboratory of Tibetan Intelligent Information Processing and Application Qinghai Normal University  Xining Qinghai China"],"raw_orcid":"https://orcid.org/0009-0005-6673-2743","affiliations":[{"raw_affiliation_string":"School of Computer Science Qinghai Normal University  Xining Qinghai China","institution_ids":["https://openalex.org/I20616075"]},{"raw_affiliation_string":"The State Key Laboratory of Tibetan Intelligent Information Processing and Application Qinghai Normal University  Xining Qinghai China","institution_ids":["https://openalex.org/I20616075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457256","display_name":"Xiaojuan Zhang","orcid":"https://orcid.org/0000-0002-2194-3257"},"institutions":[{"id":"https://openalex.org/I20616075","display_name":"Qinghai Normal University","ror":"https://ror.org/03az1t892","country_code":"CN","type":"education","lineage":["https://openalex.org/I20616075"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojuan Zhang","raw_affiliation_strings":["School of Computer Science Qinghai Normal University  Xining Qinghai China","The State Key Laboratory of Tibetan Intelligent Information Processing and Application Qinghai Normal University  Xining Qinghai China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science Qinghai Normal University  Xining Qinghai China","institution_ids":["https://openalex.org/I20616075"]},{"raw_affiliation_string":"The State Key Laboratory of Tibetan Intelligent Information Processing and Application Qinghai Normal University  Xining Qinghai China","institution_ids":["https://openalex.org/I20616075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109217397","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0001-5628-6237"},"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"]},{"id":"https://openalex.org/I39774598","display_name":"Hefei University","ror":"https://ror.org/01f5rdf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I39774598"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhao","raw_affiliation_strings":["School of Computer and Information Hefei University of Technology  Hefei China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Hefei University of Technology  Hefei China","institution_ids":["https://openalex.org/I16365422","https://openalex.org/I39774598"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101816362","display_name":"Chunyan Peng","orcid":"https://orcid.org/0009-0001-8289-5092"},"institutions":[{"id":"https://openalex.org/I20616075","display_name":"Qinghai Normal University","ror":"https://ror.org/03az1t892","country_code":"CN","type":"education","lineage":["https://openalex.org/I20616075"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Peng","raw_affiliation_strings":["School of Computer Science Qinghai Normal University  Xining Qinghai China","The State Key Laboratory of Tibetan Intelligent Information Processing and Application Qinghai Normal University  Xining Qinghai China"],"raw_orcid":"https://orcid.org/0009-0001-8289-5092","affiliations":[{"raw_affiliation_string":"School of Computer Science Qinghai Normal University  Xining Qinghai China","institution_ids":["https://openalex.org/I20616075"]},{"raw_affiliation_string":"The State Key Laboratory of Tibetan Intelligent Information Processing and Application Qinghai Normal University  Xining Qinghai China","institution_ids":["https://openalex.org/I20616075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100457256"],"corresponding_institution_ids":["https://openalex.org/I20616075"],"apc_list":{"value":2530,"currency":"USD","value_usd":2530},"apc_paid":{"value":2530,"currency":"USD","value_usd":2530},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27042666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"1","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":0.23909999430179596,"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":0.23909999430179596,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.12690000236034393,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.06759999692440033,"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/discriminator","display_name":"Discriminator","score":0.6080999970436096},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5895000100135803},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5307999849319458},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5059000253677368},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4406000077724457},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.430400013923645},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4239000082015991},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.39430001378059387},{"id":"https://openalex.org/keywords/element","display_name":"Element (criminal law)","score":0.391400009393692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299000024795532},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6254000067710876},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6080999970436096},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5895000100135803},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5307999849319458},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5059000253677368},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.430400013923645},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4239000082015991},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C200288055","wikidata":"https://www.wikidata.org/wiki/Q2621792","display_name":"Element (criminal law)","level":2,"score":0.391400009393692},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3912000060081482},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.37549999356269836},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37139999866485596},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3443000018596649},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3273000121116638},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C60671577","wikidata":"https://www.wikidata.org/wiki/Q210272","display_name":"Cultural heritage","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2903999984264374},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.25929999351501465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1049/ipr2.70252","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ipr2.70252","pdf_url":null,"source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1049/ipr2.70252","is_oa":true,"landing_page_url":"https://doi.org/10.1049/ipr2.70252","pdf_url":null,"source":{"id":"https://openalex.org/S83215360","display_name":"IET Image Processing","issn_l":"1751-9659","issn":["1751-9659","1751-9667"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Image Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3721244096","display_name":null,"funder_award_id":"62272142","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5352017599","display_name":null,"funder_award_id":"62262056)","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G915535852","display_name":null,"funder_award_id":"62441609","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":18,"referenced_works":["https://openalex.org/W1975514318","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963561004","https://openalex.org/W2985068832","https://openalex.org/W3034352949","https://openalex.org/W3035355202","https://openalex.org/W3035574324","https://openalex.org/W3096831136","https://openalex.org/W3176913662","https://openalex.org/W3178406257","https://openalex.org/W3201739204","https://openalex.org/W4285124635","https://openalex.org/W4312933868","https://openalex.org/W4386076001","https://openalex.org/W4390873054","https://openalex.org/W4412442426"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Regong":[1],"Art":[2],"is":[3,21,73,102,108,123,146,198],"one":[4,36],"of":[5,17,31,84,138],"the":[6,27,32,44,64,82,99,128,135,139,150,157,179,188],"world's":[7],"intangible":[8],"cultural":[9],"heritage,":[10],"and":[11,35,47,56,86,115,141,166,173,187],"Thangka,":[12,90],"as":[13],"an":[14],"important":[15],"form":[16],"expression":[18],"within":[19],"it,":[20],"created":[22],"in":[23,89,184,191],"strict":[24],"adherence":[25],"to":[26,43,51,80,98,110,125,148,156],"unique":[28],"compositional":[29,55,136],"principle":[30],"\u2018Three":[33],"sutras":[34],"commentary\u2019.":[37],"Current":[38],"generation":[39,83],"methods,":[40],"when":[41],"applied":[42],"Thangka":[45,171],"floral":[46,85,172],"leaf":[48,87,174],"dataset,":[49],"struggle":[50],"meet":[52],"its":[53,92],"specific":[54],"color":[57],"restoration":[58],"requirements.":[59],"To":[60],"address":[61],"these":[62],"issues,":[63],"adversarial":[65],"ResNet":[66],"with":[67,134],"omni\u2010dimensional":[68,104],"dynamic":[69,105],"convolution\u2010pixel2stylepixel":[70],"(AROD\u2010PSP)":[71],"model":[72,76,180],"proposed.":[74],"This":[75,160],"uses":[77],"hand\u2010drawn":[78],"sketches":[79],"guide":[81],"elements":[88],"restoring":[91],"artistic":[93],"features.":[94],"A":[95],"lightweight":[96],"improvement":[97],"encoder":[100],"network":[101],"made;":[103],"convolution":[106],"(ODConv)":[107],"introduced":[109],"enhance":[111],"feature":[112],"extraction":[113],"capabilities":[114],"increase":[116],"result":[117],"diversity;":[118],"a":[119,142],"latent":[120],"code":[121],"discriminator":[122],"added":[124],"ensure":[126],"that":[127],"generated":[129],"images":[130],"align":[131],"more":[132,154],"closely":[133],"rules":[137],"dataset;":[140],"colour":[143],"correction":[144],"module":[145],"employed":[147],"adjust":[149],"colours,":[151],"making":[152],"them":[153],"similar":[155],"original":[158],"images.":[159],"approach":[161],"successfully":[162],"achieves":[163],"intelligent":[164],"design":[165],"visual":[167],"creation":[168],"tasks":[169],"for":[170],"elements.":[175],"In":[176],"comparative":[177],"experiments,":[178],"achieved":[181],"second\u2010best":[182],"results":[183],"quantitative":[185],"analysis":[186],"best":[189],"performance":[190],"qualitative":[192],"analysis.":[193],"The":[194],"model's":[195],"generalization":[196],"ability":[197],"demonstrated":[199],"using":[200],"two":[201],"public":[202],"datasets.":[203]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-11-25T00:00:00"}