{"id":"https://openalex.org/W3166129411","doi":"https://doi.org/10.1109/icme51207.2021.9428211","title":"Label-Free Regional Consistency for Image-to-Image Translation","display_name":"Label-Free Regional Consistency for Image-to-Image Translation","publication_year":2021,"publication_date":"2021-06-09","ids":{"openalex":"https://openalex.org/W3166129411","doi":"https://doi.org/10.1109/icme51207.2021.9428211","mag":"3166129411"},"language":"en","primary_location":{"id":"doi:10.1109/icme51207.2021.9428211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","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/A5102819560","display_name":"Shaohua Guo","orcid":"https://orcid.org/0000-0001-9075-0929"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaohua Guo","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031210225","display_name":"Qianyu Zhou","orcid":"https://orcid.org/0000-0002-5331-050X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianyu Zhou","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080366019","display_name":"Ye Zhou","orcid":"https://orcid.org/0000-0002-6057-2030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye Zhou","raw_affiliation_strings":["Shanghai CLS Fintech CO., LTD"],"affiliations":[{"raw_affiliation_string":"Shanghai CLS Fintech CO., LTD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020540329","display_name":"Qiqi Gu","orcid":"https://orcid.org/0000-0001-9777-0471"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiqi Gu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045789612","display_name":"Junshu Tang","orcid":"https://orcid.org/0000-0002-6549-5257"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junshu Tang","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008509350","display_name":"Zhengyang Feng","orcid":"https://orcid.org/0000-0001-9096-6877"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyang Feng","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084218062","display_name":"Lizhuang Ma","orcid":"https://orcid.org/0000-0003-1653-4341"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lizhuang Ma","raw_affiliation_strings":["Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5102819560"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.9607,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.77031046,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9945999979972839,"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":0.9945999979972839,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9746000170707703,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.964900016784668,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.878970742225647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.753783106803894},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.6923481225967407},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.6615161895751953},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6259328126907349},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.6234256625175476},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.5422663688659668},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5289029479026794},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4961720407009125},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.449880450963974},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38546931743621826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3609541654586792},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2732047736644745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1915929615497589}],"concepts":[{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.878970742225647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.753783106803894},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.6923481225967407},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.6615161895751953},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6259328126907349},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.6234256625175476},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.5422663688659668},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5289029479026794},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4961720407009125},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.449880450963974},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38546931743621826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3609541654586792},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2732047736644745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1915929615497589},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme51207.2021.9428211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme51207.2021.9428211","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2340897893","https://openalex.org/W2412782625","https://openalex.org/W2431874326","https://openalex.org/W2487365028","https://openalex.org/W2560023338","https://openalex.org/W2798729263","https://openalex.org/W2943322963","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962947361","https://openalex.org/W2962960082","https://openalex.org/W2962974533","https://openalex.org/W2963117157","https://openalex.org/W2963373786","https://openalex.org/W2963890275","https://openalex.org/W2964019233","https://openalex.org/W3034272105","https://openalex.org/W3034305572","https://openalex.org/W3035294798","https://openalex.org/W3096044019","https://openalex.org/W3106941582","https://openalex.org/W3108316907","https://openalex.org/W3110137169","https://openalex.org/W3159890710","https://openalex.org/W4307793802","https://openalex.org/W6637373629","https://openalex.org/W6718379498","https://openalex.org/W6734074887","https://openalex.org/W6746282794","https://openalex.org/W6750298367","https://openalex.org/W6750841658","https://openalex.org/W6755654156","https://openalex.org/W6766150548","https://openalex.org/W6774771697","https://openalex.org/W6776019870","https://openalex.org/W6776081495"],"related_works":["https://openalex.org/W1592998112","https://openalex.org/W1965377399","https://openalex.org/W1510768092","https://openalex.org/W2611003898","https://openalex.org/W4243135923","https://openalex.org/W2540973786","https://openalex.org/W3109545856","https://openalex.org/W4288069866","https://openalex.org/W3155045749","https://openalex.org/W4389232935"],"abstract_inverted_index":{"Image-to-Image":[0],"translation":[1,79],"aims":[2],"to":[3,9,66,75,86,102,109,137,148],"translate":[4],"images":[5,16,132],"from":[6],"one":[7],"domain":[8],"another.":[10],"Existing":[11],"approaches":[12],"mainly":[13],"stylize":[14],"the":[15,19,31,55,77,88,104,115,129,162],"globally,":[17],"while":[18],"local":[20,153],"consistency":[21,33,91,99,147],"between":[22,54],"regions":[23,49,139],"has":[24,63],"been":[25,64],"under-explored.":[26],"Some":[27],"instance-aware":[28],"methods":[29,164],"capture":[30],"regional":[32,90,97,116],"but":[34,107],"heavily":[35],"depend":[36],"on":[37],"well-annotated":[38],"labels":[39],"of":[40,123,131],"a":[41,111,134,150,166],"large-scale":[42],"dataset.":[43],"Besides,":[44],"we":[45,84,127],"observe":[46],"that":[47,158],"content-alike":[48],"should":[50],"have":[51],"similar":[52,141],"style":[53],"target":[56],"and":[57],"translated":[58],"images,":[59],"however,":[60],"little":[61],"attention":[62],"paid":[65],"explore":[67,87],"such":[68],"intrinsic":[69],"property":[70],"as":[71,133],"explicit":[72],"prior":[73,136],"knowledge":[74],"guide":[76],"image":[78,124],"process.":[80],"In":[81],"this":[82],"paper,":[83],"aim":[85],"label-free":[89],"for":[92],"image-to-image":[93],"translation.":[94],"We":[95,143],"propose":[96],"relation":[98],"not":[100],"only":[101],"maintain":[103],"global":[105],"structure":[106],"also":[108],"keep":[110],"close":[112],"look":[113],"at":[114],"consistency,":[117],"thus":[118],"achieving":[119],"more":[120,151],"rigorous":[121],"preservation":[122],"contents.":[125],"Moreover,":[126],"employ":[128],"phase":[130],"semantic":[135],"select":[138],"with":[140,165],"content.":[142],"present":[144],"phase-guided":[145],"amplitude":[146],"perform":[149],"efficient":[152],"stylization.":[154],"Extensive":[155],"experiments":[156],"verify":[157],"our":[159],"approach":[160],"outperforms":[161],"existing":[163],"clear":[167],"margin.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
