{"id":"https://openalex.org/W3196446418","doi":"https://doi.org/10.1145/3460426.3463611","title":"Image-to-Image Transfer Makes Chaos to Order","display_name":"Image-to-Image Transfer Makes Chaos to Order","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W3196446418","doi":"https://doi.org/10.1145/3460426.3463611","mag":"3196446418"},"language":"en","primary_location":{"id":"doi:10.1145/3460426.3463611","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460426.3463611","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460426.3463611","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3460426.3463611","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009922928","display_name":"Sanbi Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sanbi Luo","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences &amp; University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100786389","display_name":"Tao Guo","orcid":"https://orcid.org/0000-0002-4262-5848"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Guo","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3818,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67106398,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"243"},"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":0.9976000189781189,"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":0.9976000189781189,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9973999857902527,"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":0.9958999752998352,"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":0.7891321182250977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7253048419952393},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6829785704612732},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6729618906974792},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6234167218208313},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6010107398033142},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5923877358436584},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.545656681060791},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.5069823265075684},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.47749871015548706},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.46238890290260315},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.45477908849716187},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44914817810058594},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.286565899848938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7891321182250977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7253048419952393},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6829785704612732},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6729618906974792},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6234167218208313},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6010107398033142},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5923877358436584},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.545656681060791},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.5069823265075684},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.47749871015548706},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.46238890290260315},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.45477908849716187},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44914817810058594},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.286565899848938},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460426.3463611","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460426.3463611","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460426.3463611","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3460426.3463611","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460426.3463611","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460426.3463611","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5248598816","display_name":null,"funder_award_id":"2018YFC0806900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3196446418.pdf","grobid_xml":"https://content.openalex.org/works/W3196446418.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1903029394","https://openalex.org/W2116013899","https://openalex.org/W2292976057","https://openalex.org/W2339754110","https://openalex.org/W2340897893","https://openalex.org/W2547446130","https://openalex.org/W2598591334","https://openalex.org/W2607170299","https://openalex.org/W2625219738","https://openalex.org/W2737258237","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963446520","https://openalex.org/W2963470893","https://openalex.org/W2963521568","https://openalex.org/W2963800363","https://openalex.org/W2963981733","https://openalex.org/W2964295764","https://openalex.org/W2964309882"],"related_works":["https://openalex.org/W4311681673","https://openalex.org/W3217114251","https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W4319453795","https://openalex.org/W4385527149","https://openalex.org/W4375959267","https://openalex.org/W3211124055","https://openalex.org/W4286860012","https://openalex.org/W2772330423"],"abstract_inverted_index":{"GAN-based":[0],"image-to-image":[1,81,225],"transfer":[2,83,226],"tools":[3,46,72],"have":[4],"achieved":[5],"remarkable":[6],"results":[7,152],"in":[8,35,64,99,201,224,254],"image":[9,180],"generation.":[10],"However,":[11],"most":[12],"of":[13,33,80,97,142,148,156,173,189,207,221,240],"the":[14,20,31,44,78,115,126,140,145,154,157,171,182,195,205,211,219,250],"research":[15],"efforts":[16],"focus":[17],"on":[18,132],"changing":[19],"style":[21],"features,":[22,29],"e.g.,":[23,30],"color":[24,174],"and":[25,37,84,181,210,249],"texture.":[26],"The":[27,187,256],"spatial":[28,95,146],"locations":[32],"objects":[34,55,98],"input":[36],"output":[38],"images,":[39],"always":[40],"keep":[41],"consistent.":[42],"If":[43],"above":[45,116],"are":[47],"employed":[48],"to":[49,60,68,93,113,138,169,216],"translate":[50],"locations,":[51],"such":[52],"as":[53,135],"organizing":[54],"from":[56],"a":[57,86,108,119,136,163,177,228],"chaotic":[58,178],"scene":[59,63,179,185,191],"an":[61],"orderly":[62,184,190],"images":[65,101,192,248],"(i.e.,":[66],"chaos":[67],"order),":[69],"can":[70],"these":[71],"work":[73],"well?":[74],"Therefore,":[75],"we":[76,106],"investigate":[77],"issue":[79],"location":[82,127,241],"receive":[85],"preliminary":[87],"conclusion":[88],"that":[89],"it":[90],"is":[91,123,129,167,198,233,258],"hard":[92],"manipulate":[94,144],"features":[96,147],"raw":[100,149],"automatically.":[102],"In":[103],"this":[104,236],"paper,":[105],"propose":[107],"novel":[109],"framework":[110],"called":[111],"LT-GAN":[112,202],"address":[114],"issue.":[117],"Specifically,":[118],"multi-stage":[120,159],"generation":[121,160],"structure":[122],"designed,":[124],"where":[125],"translation":[128],"performed":[130],"based":[131],"semantic":[133,252],"labels":[134,253],"bridge":[137],"enhance":[139],"effect":[141],"automatically":[143],"images.":[150],"Experimental":[151],"demonstrate":[153],"effectiveness":[155],"proposed":[158],"strategy.":[161],"Meanwhile,":[162],"Color":[164,212],"Histogram":[165,213],"Loss":[166],"explored":[168],"evaluate":[170],"similarity":[172],"distribution":[175],"between":[176],"corresponding":[183,251],"image.":[186],"quality":[188],"generated":[193],"by":[194,203],"final":[196],"stage":[197],"improved":[199],"significantly":[200],"using":[204],"combination":[206],"feature":[208],"extraction":[209],"Loss.":[214],"Moreover,":[215],"break":[217],"through":[218],"limitation":[220],"public":[222],"datasets":[223],"tasks,":[227],"new":[229,237],"dataset":[230,257],"named":[231],"M2C":[232],"constructed":[234],"for":[235],"application":[238],"scenario":[239],"transfer,":[242],"including":[243],"more":[244],"than":[245],"15,000":[246],"paired":[247],"total.":[255],"available":[259],"at":[260],"\\urlhttps://drive.google.com/open?id=1amr9ga9wvhnIzeZ48OHbLapHGqOb4-Up":[261]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}
