{"id":"https://openalex.org/W4321636706","doi":"https://doi.org/10.1109/wcsp55476.2022.10039309","title":"Attributes and Semantic Constrained GAN for Face Sketch-Photo Synthesis","display_name":"Attributes and Semantic Constrained GAN for Face Sketch-Photo Synthesis","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4321636706","doi":"https://doi.org/10.1109/wcsp55476.2022.10039309"},"language":"en","primary_location":{"id":"doi:10.1109/wcsp55476.2022.10039309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp55476.2022.10039309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","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/A5072474694","display_name":"Jieying Zheng","orcid":"https://orcid.org/0000-0003-4933-4688"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jieying Zheng","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Jiangsu Key Lab on Image Processing & Image Communications,Nanjing,China","Smart Health Big Data Analysis and Location, Nanjing University of Posts and Telecommunications","School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Jiangsu Key Lab on Image Processing & Image Communications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Smart Health Big Data Analysis and Location, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102505079","display_name":"Haoxian Li","orcid":null},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxian Li","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Jiangsu Key Lab on Image Processing & Image Communications,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Jiangsu Key Lab on Image Processing & Image Communications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369354","display_name":"Feng Liu","orcid":"https://orcid.org/0000-0003-2750-0315"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Liu","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Jiangsu Key Lab on Image Processing & Image Communications,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Jiangsu Key Lab on Image Processing & Image Communications,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072474694"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.1008,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41786872,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"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":0.995199978351593,"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":0.995199978351593,"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/T11448","display_name":"Face recognition and analysis","score":0.9919000267982483,"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":0.8696064949035645},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7740840911865234},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6553383469581604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5811173915863037},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5565699934959412},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5412099361419678},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5379489064216614},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5089929103851318},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.46589386463165283},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38679128885269165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34137558937072754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10740819573402405}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8696064949035645},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7740840911865234},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6553383469581604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5811173915863037},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5565699934959412},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5412099361419678},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5379489064216614},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5089929103851318},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.46589386463165283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38679128885269165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34137558937072754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10740819573402405},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wcsp55476.2022.10039309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wcsp55476.2022.10039309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 14th International Conference on Wireless Communications and Signal Processing (WCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6357699058","display_name":null,"funder_award_id":"62177029","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":24,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1980093854","https://openalex.org/W2088900896","https://openalex.org/W2125389028","https://openalex.org/W2141983208","https://openalex.org/W2149481809","https://openalex.org/W2153288431","https://openalex.org/W2325939864","https://openalex.org/W2545239134","https://openalex.org/W2886934227","https://openalex.org/W2891833067","https://openalex.org/W2913044631","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2962931900","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963163163","https://openalex.org/W2963444790","https://openalex.org/W2964323748","https://openalex.org/W3009525597","https://openalex.org/W3034521057","https://openalex.org/W3134430547","https://openalex.org/W3167663447"],"related_works":["https://openalex.org/W2378994405","https://openalex.org/W2385974820","https://openalex.org/W2373478030","https://openalex.org/W2378679551","https://openalex.org/W1545994636","https://openalex.org/W4287064674","https://openalex.org/W3188573563","https://openalex.org/W3201246199","https://openalex.org/W4205183227","https://openalex.org/W3131224690"],"abstract_inverted_index":{"Face":[0],"sketch-photo":[1],"synthesis":[2,169],"aims":[3],"at":[4],"generating":[5],"a":[6,11,93],"facial":[7],"photo":[8],"conditioned":[9],"on":[10],"given":[12],"photo.":[13],"It":[14,145],"has":[15,23],"attracted":[16],"wide":[17],"attention":[18],"in":[19,27,47,88],"computer":[20],"vision":[21],"and":[22,30,58,69,76,91,104,121,125,156,166],"been":[24],"widely":[25],"applied":[26],"law":[28],"enforcement":[29],"entertainment.":[31],"However,":[32],"precisely":[33],"synthesizing":[34],"high-quality":[35,131],"face":[36,48,67,109,149],"photos":[37,150],"is":[38],"still":[39],"challenging":[40],"due":[41],"to":[42,72,129],"the":[43,52,74,85,89,101,114,117,153,162],"missing":[44],"color":[45,168],"information":[46],"sketches.":[49],"To":[50],"alleviate":[51,161],"problem,":[53],"we":[54],"propose":[55],"an":[56],"attribute":[57,68,95,102],"Semantic":[59],"constrained":[60],"Generative":[61],"Adversarial":[62],"Networks":[63],"(ASGAN),":[64],"which":[65],"introduces":[66],"semantic":[70,105],"constraints":[71],"improve":[73],"quality":[75],"accuracy":[77],"of":[78,164],"synthesized":[79],"photos.":[80,132],"Specifically,":[81],"We":[82],"first":[83],"annotate":[84],"key":[86],"attributes":[87],"dataset":[90],"form":[92],"14-dimensional":[94],"vector":[96],"for":[97],"each":[98],"face.":[99],"Then,":[100],"features":[103,106,120],"obtained":[107],"by":[108],"parsing":[110],"are":[111],"fused.":[112],"Finally,":[113],"generator":[115],"takes":[116],"fused":[118],"constrain":[119],"sketches":[122],"as":[123],"input":[124],"constructs":[126],"two-stream":[127],"encoders":[128],"synthesize":[130],"Extensive":[133],"experimental":[134],"results":[135],"demonstrate":[136],"that":[137],"our":[138],"method":[139],"can":[140,146,160],"significantly":[141],"outperform":[142],"state-of-the-art":[143],"methods.":[144],"synthe-size":[147],"higher-quality":[148],"while":[151],"maintaining":[152],"identity,":[154],"attributes,":[155],"structure.":[157],"Meanwhile,":[158],"it":[159],"problem":[163],"background":[165],"skin":[167],"errors.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}