{"id":"https://openalex.org/W4400033355","doi":"https://doi.org/10.1109/access.2024.3419159","title":"Learning to Generate Urban Design Images From the Conditional Latent Diffusion Model","display_name":"Learning to Generate Urban Design Images From the Conditional Latent Diffusion Model","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400033355","doi":"https://doi.org/10.1109/access.2024.3419159"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3419159","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3419159","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3419159","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104335878","display_name":"Xiaotang Cui","orcid":"https://orcid.org/0009-0001-4793-1844"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaotang Cui","raw_affiliation_strings":["School of Art and Design, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Art and Design, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101506742","display_name":"Xiao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I99434035","display_name":"University of Wales Trinity Saint David","ror":"https://ror.org/05gkzcc88","country_code":"GB","type":"education","lineage":["https://openalex.org/I99434035"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiao Feng","raw_affiliation_strings":["Wales Institute of Science and Art, University of Wales Trinity Saint David, Swansea, U.K"],"raw_orcid":"https://orcid.org/0009-0009-3358-9046","affiliations":[{"raw_affiliation_string":"Wales Institute of Science and Art, University of Wales Trinity Saint David, Swansea, U.K","institution_ids":["https://openalex.org/I99434035"]}]},{"author_position":"last","author":{"id":null,"display_name":"Siwen Sun","orcid":"https://orcid.org/0009-0002-0681-9183"},"institutions":[{"id":"https://openalex.org/I4210092224","display_name":"Heilongjiang Academy of Sciences","ror":"https://ror.org/00hqwyj63","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210092224"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwen Sun","raw_affiliation_strings":["Institute of Intelligent Manufacturing, Heilongjiang Academy of Sciences, Harbin, China"],"raw_orcid":"https://orcid.org/0009-0002-0681-9183","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing, Heilongjiang Academy of Sciences, Harbin, China","institution_ids":["https://openalex.org/I4210092224"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.0622,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92597194,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"89135","last_page":"89143"},"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":0.9965000152587891,"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":0.9965000152587891,"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/T11309","display_name":"Music and Audio Processing","score":0.9276999831199646,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9097999930381775,"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":0.8302421569824219},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.627643883228302},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5585734248161316},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5506871342658997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5490914583206177},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5205817818641663},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5067406296730042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5065733194351196},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4591585397720337},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4432673752307892},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40234190225601196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0886475145816803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8302421569824219},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.627643883228302},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5585734248161316},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5506871342658997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5490914583206177},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5205817818641663},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5067406296730042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5065733194351196},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4591585397720337},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4432673752307892},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40234190225601196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0886475145816803},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3419159","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3419159","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ffc5240bf4c34bab9a037f0ec24e315e","is_oa":true,"landing_page_url":"https://doaj.org/article/ffc5240bf4c34bab9a037f0ec24e315e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 89135-89143 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3419159","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3419159","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G2387618782","display_name":null,"funder_award_id":"2023CYS055","funder_id":"https://openalex.org/F4320318616","funder_display_name":"Henan Office of Philosophy and Social Science"}],"funders":[{"id":"https://openalex.org/F4320318616","display_name":"Henan Office of Philosophy and Social Science","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W2908510526","https://openalex.org/W3121370741","https://openalex.org/W3165517516","https://openalex.org/W3168867926","https://openalex.org/W4312933868","https://openalex.org/W4385245566","https://openalex.org/W4386066781","https://openalex.org/W4386814711","https://openalex.org/W4390873054","https://openalex.org/W4404659949","https://openalex.org/W6679045638","https://openalex.org/W6757817989","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6795288823","https://openalex.org/W6796581206","https://openalex.org/W6811013733","https://openalex.org/W6874990971"],"related_works":["https://openalex.org/W2997567050","https://openalex.org/W1483272040","https://openalex.org/W4283377908","https://openalex.org/W1526712007","https://openalex.org/W1533421371","https://openalex.org/W2003050223","https://openalex.org/W2091777911","https://openalex.org/W2112835755","https://openalex.org/W2766405861","https://openalex.org/W4291951920"],"abstract_inverted_index":{"With":[0],"the":[1,15,44,50,56,71,86,92,97,101,117,124,127,161,169],"rapid":[2],"process":[3,99],"of":[4,100,119,126,173],"computer":[5],"vision":[6],"and":[7,26,122,142,158,165,171],"deep":[8],"learning,":[9],"image":[10],"synthesis":[11],"models,":[12,18],"such":[13],"as":[14],"latent":[16,57,72,128],"diffusion":[17,45,58,73,102,129],"have":[19],"exhibited":[20],"remarkable":[21],"performances":[22],"in":[23,96,160],"producing":[24],"high-quality":[25,133],"realistic":[27],"results.":[28,63],"However,":[29],"achieving":[30],"precise":[31],"layout":[32],"control":[33,52],"through":[34],"adjusting":[35],"text":[36,145],"prompts":[37],"solely":[38],"proves":[39],"to":[40,54,81,149],"be":[41],"challenging":[42],"for":[43,155],"model.":[46,103,130],"Therefore,":[47],"we":[48,90,135],"organize":[49],"conditional":[51],"network":[53],"instruct":[55],"model":[59,74],"towards":[60],"generating":[61],"satisfactory":[62],"Besides,":[64],"direct":[65],"training":[66,88,98,125],"from":[67,140],"scratch":[68],"or":[69],"fine-tuning":[70],"on":[75],"new":[76],"datasets":[77],"is":[78],"non-trivial":[79],"due":[80],"massive":[82],"parameters.":[83],"To":[84,131],"tackle":[85],"troublesome":[87],"problem,":[89],"implement":[91],"low-rank":[93,105],"adaptation":[94,106],"strategy":[95,107],"The":[104],"decomposes":[108],"2-dimensional":[109],"matrices":[110],"into":[111],"1-dimensional":[112],"vectors,":[113],"which":[114],"can":[115],"decrease":[116],"number":[118],"parameters":[120],"greatly":[121],"accelerate":[123],"synthesize":[132],"images,":[134],"collect":[136],"urban":[137],"design":[138],"images":[139],"pinterest":[141],"generate":[143],"homologous":[144],"prompts.":[146],"We":[147],"intend":[148],"make":[150],"this":[151],"dataset":[152],"publicly":[153],"available":[154],"further":[156],"research":[157],"development":[159],"field.":[162],"Both":[163],"qualitative":[164],"quantitative":[166],"evaluations":[167],"demonstrate":[168],"effectiveness":[170],"capacity":[172],"our":[174],"framework.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}