{"id":"https://openalex.org/W3207474612","doi":"https://doi.org/10.1145/3474085.3475212","title":"Image Re-composition via Regional Content-Style Decoupling","display_name":"Image Re-composition via Regional Content-Style Decoupling","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3207474612","doi":"https://doi.org/10.1145/3474085.3475212","mag":"3207474612"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475212","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102762292","display_name":"Rong Zhang","orcid":"https://orcid.org/0000-0002-4614-7644"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Zhang","raw_affiliation_strings":["Zhejiang University, HangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, HangZhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318189","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-4383-3905"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Inceptio, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inceptio, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100329232","display_name":"Yiqun Zhang","orcid":"https://orcid.org/0000-0002-0328-987X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqun Zhang","raw_affiliation_strings":["Zhejiang University, HangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, HangZhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430255","display_name":"Hong Zhang","orcid":"https://orcid.org/0000-0002-0088-8148"},"institutions":[{"id":"https://openalex.org/I4210128910","display_name":"Group Sense (China)","ror":"https://ror.org/036wd5777","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128910"]},{"id":"https://openalex.org/I4401727009","display_name":"Sensetime (China)","ror":"https://ror.org/049wsmj07","country_code":"CN","type":"company","lineage":["https://openalex.org/I4401727009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhang","raw_affiliation_strings":["SenseTime Group Ltd., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Group Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210128910","https://openalex.org/I4401727009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102927848","display_name":"Jinhui Yu","orcid":"https://orcid.org/0000-0003-3594-7889"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinhui Yu","raw_affiliation_strings":["Zhejiang Unviersity, HangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Unviersity, HangZhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076524203","display_name":"Ruigang Yang","orcid":"https://orcid.org/0000-0001-5296-6307"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruigang Yang","raw_affiliation_strings":["Inceptio, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inceptio, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101844049","display_name":"Weiwei Xu","orcid":"https://orcid.org/0000-0002-3239-0483"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiwei Xu","raw_affiliation_strings":["Zhejiang Unviersity, HangZhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Unviersity, HangZhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"11"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987000226974487,"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":0.9941999912261963,"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/composition","display_name":"Composition (language)","score":0.6994152069091797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6412650942802429},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6148033142089844},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.49395161867141724},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47380489110946655},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.45134279131889343},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.4221258759498596},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4210449457168579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41289931535720825},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18830370903015137},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0829978883266449},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0667026937007904}],"concepts":[{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.6994152069091797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6412650942802429},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6148033142089844},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.49395161867141724},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47380489110946655},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.45134279131889343},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.4221258759498596},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4210449457168579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41289931535720825},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18830370903015137},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0829978883266449},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0667026937007904},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3475212","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475212","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2070604790","https://openalex.org/W2138011018","https://openalex.org/W2141015396","https://openalex.org/W2153709524","https://openalex.org/W2157189144","https://openalex.org/W2164147879","https://openalex.org/W2165633874","https://openalex.org/W2190424233","https://openalex.org/W2296168388","https://openalex.org/W2331128040","https://openalex.org/W2603777577","https://openalex.org/W2904785373","https://openalex.org/W2960974111","https://openalex.org/W2962737447","https://openalex.org/W2962974533","https://openalex.org/W2963073614","https://openalex.org/W2963767194","https://openalex.org/W2963887671","https://openalex.org/W2963890275","https://openalex.org/W2964082390","https://openalex.org/W2965128575","https://openalex.org/W2982975881","https://openalex.org/W2985068832","https://openalex.org/W2989045104","https://openalex.org/W2990269423","https://openalex.org/W2993087067","https://openalex.org/W2997095758","https://openalex.org/W3008540959","https://openalex.org/W3028869078","https://openalex.org/W3034521057","https://openalex.org/W3034600949","https://openalex.org/W3035294798","https://openalex.org/W3035355202","https://openalex.org/W3035574324","https://openalex.org/W3106333289","https://openalex.org/W3210933050","https://openalex.org/W4248413939","https://openalex.org/W4256237128"],"related_works":["https://openalex.org/W2591697403","https://openalex.org/W2944728705","https://openalex.org/W4313561376","https://openalex.org/W2904022177","https://openalex.org/W3103825105","https://openalex.org/W2359348847","https://openalex.org/W3011538607","https://openalex.org/W3027880158","https://openalex.org/W4294432981","https://openalex.org/W2356684049"],"abstract_inverted_index":{"Typical":[0],"image":[1,18,32,38],"composition":[2,19,113],"harmonizes":[3],"regions":[4],"from":[5,48],"different":[6,49,92],"images":[7,50,55],"to":[8,27,51,69,83,101,121],"a":[9,57,71,117,150],"single":[10],"plausible":[11],"image.":[12],"We":[13],"extend":[14],"the":[15,22,29,61,66,79,85,99,112,123,126,132,154],"idea":[16],"of":[17,31,87,91],"by":[20],"introducing":[21],"content-style":[23,74,109,143],"decomposition":[24,62],"and":[25,45,89,106,128,144],"combination":[26],"form":[28],"concept":[30],"re-composition.":[33],"In":[34,60],"other":[35],"words,":[36],"our":[37],"re-composition":[39,80,139],"could":[40],"arbitrarily":[41],"combine":[42],"those":[43],"contents":[44],"styles":[46],"decomposed":[47],"generate":[52],"more":[53,72],"diverse":[54,138],"in":[56,94],"unified":[58],"framework.":[59],"stage,":[63,114],"we":[64,97,115],"incorporate":[65],"whitening":[67],"normalization":[68],"obtain":[70],"thorough":[73],"decoupling,":[75],"which":[76],"substantially":[77],"improves":[78],"results.":[81],"Moreover,":[82],"handle":[84],"variation":[86],"structure":[88],"texture":[90],"objects":[93],"an":[95],"image,":[96],"design":[98],"network":[100,124],"support":[102],"regional":[103],"feature":[104],"representation":[105],"achieve":[107],"region-aware":[108],"decomposition.":[110],"Regarding":[111],"propose":[116],"cycle":[118],"consistency":[119],"loss":[120],"constrain":[122],"preserving":[125],"content":[127],"style":[129],"information":[130],"during":[131],"composition.":[133],"Our":[134,146],"method":[135],"can":[136],"produce":[137],"results,":[140],"including":[141],"content-content,":[142],"style-style.":[145],"experimental":[147],"results":[148],"demonstrate":[149],"large":[151],"improvement":[152],"over":[153],"current":[155],"state-of-the-art":[156],"methods.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}