{"id":"https://openalex.org/W4393970722","doi":"https://doi.org/10.1145/3640543.3645141","title":"SwipeGANSpace: Swipe-to-Compare Image Generation via Efficient Latent Space Exploration","display_name":"SwipeGANSpace: Swipe-to-Compare Image Generation via Efficient Latent Space Exploration","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4393970722","doi":"https://doi.org/10.1145/3640543.3645141"},"language":"en","primary_location":{"id":"doi:10.1145/3640543.3645141","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640543.3645141","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640543.3645141","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3640543.3645141","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078700990","display_name":"Yuto Nakashima","orcid":"https://orcid.org/0009-0004-1446-9667"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yuto Nakashima","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0004-1446-9667","affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068359201","display_name":"Mingzhe Yang","orcid":"https://orcid.org/0009-0004-9030-7838"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mingzhe Yang","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":"https://orcid.org/0009-0004-9030-7838","affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010710732","display_name":"Yukino Baba","orcid":"https://orcid.org/0000-0001-5310-9841"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukino Baba","raw_affiliation_strings":["The University of Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0001-5310-9841","affiliations":[{"raw_affiliation_string":"The University of Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078700990"],"corresponding_institution_ids":["https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.4762,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60101318,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"675","last_page":"685"},"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":0.9997000098228455,"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":0.9997000098228455,"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/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/swipe","display_name":"SwIPe","score":0.9410439729690552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7555723190307617},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5704227089881897},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5467771291732788},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5424594879150391},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5222662091255188},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.4257500171661377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41144776344299316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15105482935905457}],"concepts":[{"id":"https://openalex.org/C2779623668","wikidata":"https://www.wikidata.org/wiki/Q7652842","display_name":"SwIPe","level":2,"score":0.9410439729690552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555723190307617},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5704227089881897},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5467771291732788},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5424594879150391},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5222662091255188},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.4257500171661377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41144776344299316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15105482935905457},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3640543.3645141","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640543.3645141","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640543.3645141","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2404.19693","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2404.19693","pdf_url":"https://arxiv.org/pdf/2404.19693","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3640543.3645141","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640543.3645141","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640543.3645141","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393970722.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1965520710","https://openalex.org/W2096733369","https://openalex.org/W2192203593","https://openalex.org/W2401887447","https://openalex.org/W2519536754","https://openalex.org/W2612063021","https://openalex.org/W2738735766","https://openalex.org/W2751463909","https://openalex.org/W2911600290","https://openalex.org/W2914393402","https://openalex.org/W2961363059","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962927829","https://openalex.org/W2963073614","https://openalex.org/W2964024144","https://openalex.org/W3005750793","https://openalex.org/W3023257870","https://openalex.org/W3034431451","https://openalex.org/W3089419733","https://openalex.org/W3117150885","https://openalex.org/W3122887115","https://openalex.org/W3124688585","https://openalex.org/W3177221875","https://openalex.org/W3207968197","https://openalex.org/W4237823019","https://openalex.org/W4307476004","https://openalex.org/W4312933868"],"related_works":["https://openalex.org/W2398889655","https://openalex.org/W2536378363","https://openalex.org/W2549484948","https://openalex.org/W4205559861","https://openalex.org/W2158820730","https://openalex.org/W1547097662","https://openalex.org/W3202730707","https://openalex.org/W3007448029","https://openalex.org/W1428967323","https://openalex.org/W2546977421"],"abstract_inverted_index":{"Generating":[0],"preferred":[1,33,91,100],"images":[2,34,92,101],"using":[3],"generative":[4],"adversarial":[5],"networks":[6],"(GANs)":[7],"is":[8,86],"challenging":[9],"owing":[10],"to":[11,31,52,68,72,115],"the":[12,40,53,57,70,76,79,94,106,125],"high-dimensional":[13],"nature":[14,127],"of":[15,56,78,108,128],"latent":[16,41,54],"space.":[17],"In":[18],"this":[19],"study,":[20],"we":[21,47],"propose":[22],"a":[23,64],"novel":[24],"approach":[25,134],"that":[26,83],"uses":[27],"simple":[28],"user-swipe":[29],"interactions":[30],"generate":[32],"for":[35],"users.":[36],"To":[37],"effectively":[38],"explore":[39],"space":[42,55],"with":[43],"only":[44],"swipe":[45],"interactions,":[46],"apply":[48],"principal":[49],"component":[50],"analysis":[51],"StyleGAN,":[58],"creating":[59],"meaningful":[60],"subspaces.":[61],"We":[62],"use":[63],"multi-armed":[65],"bandit":[66],"algorithm":[67],"decide":[69],"dimensions":[71],"explore,":[73],"focusing":[74],"on":[75],"preferences":[77],"user.":[80],"Experiments":[81],"show":[82],"our":[84,132],"method":[85],"more":[87],"efficient":[88],"in":[89,99],"generating":[90],"than":[93],"baseline":[95],"methods.":[96],"Furthermore,":[97],"changes":[98],"during":[102],"image":[103,111],"generation":[104],"or":[105],"display":[107],"entirely":[109],"different":[110],"styles":[112],"were":[113],"observed":[114],"provide":[116],"new":[117],"inspirations,":[118],"subsequently":[119],"altering":[120],"user":[121,129],"preferences.":[122],"This":[123],"highlights":[124],"dynamic":[126],"preferences,":[130],"which":[131],"proposed":[133],"recognizes":[135],"and":[136],"enhances.":[137]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-01-25T23:04:38.658462","created_date":"2025-10-10T00:00:00"}
