{"id":"https://openalex.org/W4380905910","doi":"https://doi.org/10.1109/tcsvt.2023.3286841","title":"Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion","display_name":"Eliminating Contextual Prior Bias for Semantic Image Editing via Dual-Cycle Diffusion","publication_year":2023,"publication_date":"2023-06-16","ids":{"openalex":"https://openalex.org/W4380905910","doi":"https://doi.org/10.1109/tcsvt.2023.3286841"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2023.3286841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3286841","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-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/A5070814751","display_name":"Zuopeng Yang","orcid":null},"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":"Zuopeng Yang","raw_affiliation_strings":["Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2151-1777","affiliations":[{"raw_affiliation_string":"Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049624839","display_name":"Tianshu Chu","orcid":"https://orcid.org/0000-0002-2711-8098"},"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":"Tianshu Chu","raw_affiliation_strings":["Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2711-8098","affiliations":[{"raw_affiliation_string":"Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105769231","display_name":"Xin Lin","orcid":"https://orcid.org/0009-0008-8868-2478"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Lin","raw_affiliation_strings":["Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030365210","display_name":"Erdun Gao","orcid":"https://orcid.org/0000-0003-1736-2764"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Erdun Gao","raw_affiliation_strings":["School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1736-2764","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101424059","display_name":"Daqing Liu","orcid":"https://orcid.org/0000-0002-8286-0105"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Daqing Liu","raw_affiliation_strings":["JD Explore Academy, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8286-0105","affiliations":[{"raw_affiliation_string":"JD Explore Academy, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100404947","display_name":"Jie Yang","orcid":"https://orcid.org/0000-0003-4801-7162"},"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":"Jie Yang","raw_affiliation_strings":["Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4801-7162","affiliations":[{"raw_affiliation_string":"Department of Automation, Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101701657","display_name":"Chaoyue Wang","orcid":"https://orcid.org/0000-0002-9002-1029"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyue Wang","raw_affiliation_strings":["JD Explore Academy, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9002-1029","affiliations":[{"raw_affiliation_string":"JD Explore Academy, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5070814751"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.6233,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94558843,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"34","issue":"2","first_page":"1316","last_page":"1320"},"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":0.9957000017166138,"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":0.9957000017166138,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9706000089645386,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9391000270843506,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7767100930213928},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.6088518500328064},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.573091447353363},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5195727348327637},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5169041156768799},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4540570080280304},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43758174777030945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4360645115375519},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3690563440322876},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15589582920074463}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767100930213928},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.6088518500328064},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.573091447353363},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5195727348327637},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5169041156768799},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4540570080280304},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43758174777030945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4360645115375519},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3690563440322876},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15589582920074463}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2023.3286841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2023.3286841","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7523228654","display_name":null,"funder_award_id":"61876107","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":38,"referenced_works":["https://openalex.org/W2912407694","https://openalex.org/W2964833232","https://openalex.org/W3035251567","https://openalex.org/W3035316078","https://openalex.org/W3048835936","https://openalex.org/W3112593261","https://openalex.org/W3214985077","https://openalex.org/W3216352822","https://openalex.org/W4214926101","https://openalex.org/W4224035735","https://openalex.org/W4281485151","https://openalex.org/W4283388932","https://openalex.org/W4289785045","https://openalex.org/W4305033769","https://openalex.org/W4307106676","https://openalex.org/W4308163867","https://openalex.org/W4312805760","https://openalex.org/W4312893385","https://openalex.org/W4312911498","https://openalex.org/W4312933868","https://openalex.org/W4313172221","https://openalex.org/W6765775151","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6786375611","https://openalex.org/W6790978476","https://openalex.org/W6791353385","https://openalex.org/W6802987763","https://openalex.org/W6803567076","https://openalex.org/W6809885388","https://openalex.org/W6810590380","https://openalex.org/W6838639034","https://openalex.org/W6839643428","https://openalex.org/W6840155194","https://openalex.org/W6841366371","https://openalex.org/W6846007759","https://openalex.org/W6846655393","https://openalex.org/W6848774630"],"related_works":["https://openalex.org/W4319453795","https://openalex.org/W4205104112","https://openalex.org/W1974870326","https://openalex.org/W2770776392","https://openalex.org/W3176454756","https://openalex.org/W2772330423","https://openalex.org/W4386301887","https://openalex.org/W2888888887","https://openalex.org/W3006381446","https://openalex.org/W3163523050"],"abstract_inverted_index":{"The":[0,72,108,132,178],"recent":[1],"success":[2],"of":[3,17,34,82,101,163],"text-to-image":[4],"generation":[5],"diffusion":[6],"models":[7,40],"has":[8],"also":[9],"revolutionized":[10],"semantic":[11],"image":[12,42,70,102,144,148],"editing,":[13,43],"enabling":[14],"the":[15,31,99,105,112,117,121,125,129,141,146,155,161,164,171],"manipulation":[16],"images":[18],"based":[19],"on":[20],"query/target":[21],"texts.":[22],"Despite":[23],"these":[24],"advancements,":[25],"a":[26,57,76,84,93],"significant":[27],"challenge":[28],"lies":[29],"in":[30,38],"potential":[32],"introduction":[33],"contextual":[35],"prior":[36],"bias":[37],"pre-trained":[39,113],"during":[41,104],"e.g.,":[44],"making":[45],"unexpected":[46],"modifications":[47],"to":[48,68,97,115,128,149,154,176],"inappropriate":[49],"regions.":[50],"To":[51],"address":[52],"this":[53],"issue,":[54],"we":[55],"present":[56],"novel":[58],"approach":[59],"called":[60],"Dual-Cycle":[61],"Diffusion,":[62],"which":[63],"generates":[64],"an":[65,88],"unbiased":[66,133],"mask":[67,134],"guide":[69],"editing.":[71],"proposed":[73,165],"model":[74,114],"incorporates":[75],"Bias":[77],"Elimination":[78],"Cycle":[79,96],"that":[80,151],"consists":[81],"both":[83,152],"forward":[85,109],"path":[86,110,123],"and":[87,145],"inverted":[89,122],"path,":[90],"each":[91],"featuring":[92],"Structural":[94],"Consistency":[95],"ensure":[98,150],"preservation":[100],"content":[103],"editing":[106],"process.":[107],"utilizes":[111],"produce":[116],"edited":[118,147],"image,":[119],"while":[120],"converts":[124],"result":[126],"back":[127],"source":[130,143],"image.":[131],"is":[135],"generated":[136],"by":[137],"comparing":[138],"differences":[139],"between":[140],"processed":[142],"conform":[153],"same":[156],"distribution.":[157],"Our":[158],"experiments":[159],"demonstrate":[160],"effectiveness":[162],"method,":[166],"as":[167],"it":[168],"significantly":[169],"improves":[170],"D-CLIP":[172],"score":[173],"from":[174],"0.272":[175],"0.283.":[177],"code":[179],"will":[180],"be":[181],"available":[182],"at":[183],"<uri":[184],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[185],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/JohnDreamer/DualCycleDiffsion</uri>":[186],".":[187]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":20},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-30T09:04:40.226872","created_date":"2025-10-10T00:00:00"}