{"id":"https://openalex.org/W3206018546","doi":"https://doi.org/10.1145/3474085.3475293","title":"Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations","display_name":"Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3206018546","doi":"https://doi.org/10.1145/3474085.3475293","mag":"3206018546"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3475293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475293","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":"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/A5006031277","display_name":"Guanyue Li","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanyue Li","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330616","display_name":"Yi Liu","orcid":"https://orcid.org/0000-0003-1335-7626"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Liu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064127656","display_name":"Xiwen Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiwen Wei","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354835","display_name":"Yang Zhang","orcid":"https://orcid.org/0009-0004-2096-1164"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070982537","display_name":"Si Wu","orcid":"https://orcid.org/0000-0003-4022-0852"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Wu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010277066","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0001-7183-3155"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014196059","display_name":"Hau\u2212San Wong","orcid":"https://orcid.org/0000-0002-1530-7529"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hau-San Wong","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5006031277"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.5764,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68818627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1562","last_page":"1570"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9822999835014343,"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":0.6750210523605347},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6098716259002686},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5568060278892517},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4803639352321625},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.4546234905719757},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.451330304145813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4410621225833893},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.43907031416893005},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.43456557393074036},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3982763886451721},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32698774337768555},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2721465826034546},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.2284908890724182},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.08235034346580505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6750210523605347},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6098716259002686},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5568060278892517},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4803639352321625},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.4546234905719757},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.451330304145813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4410621225833893},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.43907031416893005},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.43456557393074036},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3982763886451721},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32698774337768555},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2721465826034546},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2284908890724182},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.08235034346580505},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3475293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3475293","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":14,"referenced_works":["https://openalex.org/W2219771564","https://openalex.org/W2603777577","https://openalex.org/W2943840534","https://openalex.org/W2948139120","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2963426391","https://openalex.org/W3003162010","https://openalex.org/W3034431451","https://openalex.org/W3035486830","https://openalex.org/W3035574324","https://openalex.org/W3035687950","https://openalex.org/W3127419657","https://openalex.org/W3177221875"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"Generative":[0],"adversarial":[1],"network":[2],"(GAN)-based":[3],"models":[4],"possess":[5],"superior":[6],"capability":[7],"of":[8,17,26,49,151,168],"high-fidelity":[9],"image":[10],"synthesis.":[11],"There":[12],"are":[13,35,67,88,105,139],"a":[14,50,91,96,113,149],"wide":[15],"range":[16],"semantically":[18],"meaningful":[19,36],"directions":[20,66,81],"in":[21,40,73,107],"the":[22,30,41,46,71,77,80,137,142],"latent":[23,32,51,65,86,102,162],"representation":[24],"space":[25,33,103,163],"well-trained":[27],"GANs,":[28],"and":[29,165],"corresponding":[31],"walks":[34,104],"for":[37],"semantic":[38],"controllability":[39],"synthesized":[42,169],"images.":[43],"To":[44,122],"explore":[45],"underlying":[47],"organization":[48],"space,":[52],"we":[53,94,127],"propose":[54],"an":[55],"unsupervised":[56],"Density-Preserving":[57],"Latent":[58],"Semantics":[59],"Exploration":[60],"model":[61],"(DP-LaSE).":[62],"The":[63],"important":[64],"determined":[68],"by":[69],"maximizing":[70],"variations":[72],"intermediate":[74,132],"features,":[75],"while":[76],"correlation":[78],"between":[79],"is":[82,157],"minimized.":[83],"Considering":[84],"that":[85,136,155],"codes":[87],"sampled":[89],"from":[90],"prior":[92],"distribution,":[93],"adopt":[95],"density-preserving":[97],"regularization":[98],"approach":[99],"to":[100,112,118,141,159],"ensure":[101],"maintained":[106],"iso-density":[108],"regions,":[109],"since":[110],"moving":[111],"higher/lower":[114],"density":[115],"region":[116],"tends":[117],"cause":[119],"unexpected":[120],"transformations.":[121],"further":[123],"refine":[124],"semantics-specific":[125],"transformations,":[126],"perform":[128],"subspace":[129],"learning":[130],"over":[131],"feature":[133],"channels,":[134],"such":[135],"transformations":[138],"limited":[140],"most":[143],"relevant":[144],"subspaces.":[145],"Extensive":[146],"experiments":[147],"on":[148],"variety":[150],"benchmark":[152],"datasets":[153],"demonstrate":[154],"DP-LaSE":[156],"able":[158],"discover":[160],"interpretable":[161],"walks,":[164],"specific":[166],"properties":[167],"images":[170],"can":[171],"thus":[172],"be":[173],"precisely":[174],"controlled.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}