{"id":"https://openalex.org/W3163880943","doi":"https://doi.org/10.1109/icpr48806.2021.9412045","title":"Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation","display_name":"Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3163880943","doi":"https://doi.org/10.1109/icpr48806.2021.9412045","mag":"3163880943"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","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/A5100757234","display_name":"Ziqiang Li","orcid":"https://orcid.org/0000-0001-9484-2310"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqiang Li","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047226398","display_name":"Rentuo Tao","orcid":"https://orcid.org/0000-0002-9023-0066"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rentuo Tao","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056229595","display_name":"Hongjing Niu","orcid":"https://orcid.org/0000-0002-9480-6464"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjing Niu","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mingdao Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I308837","display_name":"Suzhou University of Science and Technology","ror":"https://ror.org/04en8wb91","country_code":"CN","type":"education","lineage":["https://openalex.org/I308837"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingdao Yue","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Suzhou University, Suzhou, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Suzhou University, Suzhou, Anhui, China","institution_ids":["https://openalex.org/I308837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100365157","display_name":"Bin Li","orcid":"https://orcid.org/0000-0002-2332-3959"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Li","raw_affiliation_strings":["CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application Systems, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2864,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58438199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"1942","last_page":"1948"},"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":0.9980999827384949,"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":0.9980999827384949,"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/T10028","display_name":"Topic Modeling","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9843000173568726,"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":0.6219264268875122},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5714784264564514},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5465613603591919},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20233020186424255},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08176040649414062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6219264268875122},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5714784264564514},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5465613603591919},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20233020186424255},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08176040649414062},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412045","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412045","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2941063606","display_name":null,"funder_award_id":"gxgnfx2019049","funder_id":"https://openalex.org/F4320325599","funder_display_name":"University of Science and Technology of China"},{"id":"https://openalex.org/G5725982256","display_name":null,"funder_award_id":"U19B2044,61836011","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"},{"id":"https://openalex.org/F4320325599","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W1915485278","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2187089797","https://openalex.org/W2282821441","https://openalex.org/W2583689529","https://openalex.org/W2610366607","https://openalex.org/W2621350877","https://openalex.org/W2750384547","https://openalex.org/W2764024122","https://openalex.org/W2893749619","https://openalex.org/W2901107321","https://openalex.org/W2952716587","https://openalex.org/W2962760235","https://openalex.org/W2962770929","https://openalex.org/W2962879692","https://openalex.org/W2962975391","https://openalex.org/W2963373020","https://openalex.org/W2963470893","https://openalex.org/W2963767194","https://openalex.org/W2964074081","https://openalex.org/W2979997102","https://openalex.org/W2995801453","https://openalex.org/W3003162010","https://openalex.org/W3034431451","https://openalex.org/W3171399186","https://openalex.org/W4293861836","https://openalex.org/W4294643831","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6639204139","https://openalex.org/W6678815747","https://openalex.org/W6732987123","https://openalex.org/W6735913928","https://openalex.org/W6738224273","https://openalex.org/W6739139180","https://openalex.org/W6745560452","https://openalex.org/W6755312952","https://openalex.org/W6756006421","https://openalex.org/W6765645287","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1],"nets":[2],"(GANs)":[3],"have":[4],"been":[5],"successfully":[6],"applied":[7],"in":[8,43,67,93,129],"many":[9],"fields":[10],"like":[11],"image":[12],"generation,":[13,144],"inpainting,":[14],"super-resolution,":[15],"and":[16,62,145,162],"drug":[17],"discovery,":[18],"etc.":[19],"By":[20],"now,":[21],"the":[22,38,50,57,63,83,91,98,102,116,126,146,159],"inner":[23],"process":[24],"of":[25,41,53,85,105,134],"GANs":[26,54],"is":[27,70,88,151,156],"far":[28],"from":[29],"being":[30],"understood.":[31],"To":[32],"get":[33],"a":[34,46,109],"deeper":[35],"insight":[36],"into":[37],"intrinsic":[39],"mechanism":[40],"GANs,":[42],"this":[44,86],"paper,":[45],"method":[47,155],"for":[48,141],"interpreting":[49],"latent":[51,60,94,99,117,136],"space":[52],"by":[55],"analyzing":[56],"correlation":[58],"between":[59],"variables":[61,92,100,118,137],"corresponding":[64],"semantic":[65,127,148],"contents":[66],"generated":[68,106,130],"images":[69],"proposed.":[71],"Unlike":[72],"previous":[73],"methods":[74],"that":[75],"focus":[76],"on":[77,90,125,158],"dissecting":[78],"models":[79],"via":[80],"feature":[81],"visualization,":[82],"emphasis":[84],"work":[87],"put":[89],"space,":[95],"i.e.":[96],"how":[97],"affect":[101],"quantitative":[103],"analysis":[104],"results.":[107],"Given":[108],"pre-trained":[110],"GAN":[111],"model":[112],"with":[113],"weights":[114],"fixed,":[115],"are":[119],"intervened":[120],"to":[121],"analyze":[122],"their":[123],"effect":[124],"content":[128,143,149],"images.":[131],"A":[132],"set":[133],"controlling":[135],"can":[138],"be":[139],"derived":[140],"specific":[142],"controllable":[147],"manipulation":[150],"achieved.":[152],"The":[153],"proposed":[154],"testified":[157],"datasets":[160],"Fashion-MNIST":[161],"UT":[163],"Zappos50K,":[164],"experiment":[165],"results":[166],"show":[167],"its":[168],"effectiveness.":[169]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
