{"id":"https://openalex.org/W4404033159","doi":"https://doi.org/10.1109/icccnt61001.2024.10726017","title":"Artistic Transformation Of Architectural Images Using Neural Style Transfer","display_name":"Artistic Transformation Of Architectural Images Using Neural Style Transfer","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404033159","doi":"https://doi.org/10.1109/icccnt61001.2024.10726017"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10726017","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10726017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5111015337","display_name":"P. Natesan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"P Natesan","raw_affiliation_strings":["Kongu Engineering College,Department of Information Technology,Perundurai"],"affiliations":[{"raw_affiliation_string":"Kongu Engineering College,Department of Information Technology,Perundurai","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065664539","display_name":"M. Harini","orcid":"https://orcid.org/0000-0001-9538-2440"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M Harini","raw_affiliation_strings":["Kongu Engineering College,Department of Information Technology,Perundurai"],"affiliations":[{"raw_affiliation_string":"Kongu Engineering College,Department of Information Technology,Perundurai","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055380946","display_name":"Chitrasena Nehru Kasthuri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chitrasena Nehru Kasthuri","raw_affiliation_strings":["Kongu Engineering College,Department of Information Technology,Perundurai"],"affiliations":[{"raw_affiliation_string":"Kongu Engineering College,Department of Information Technology,Perundurai","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105019595","display_name":"G. Deepankumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G Deepankumar","raw_affiliation_strings":["Kongu Engineering College,Department of Information Technology,Perundurai"],"affiliations":[{"raw_affiliation_string":"Kongu Engineering College,Department of Information Technology,Perundurai","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5111015337"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20263998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.8299000263214111,"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"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.8299000263214111,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6627662181854248},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.6510944962501526},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6351028680801392},{"id":"https://openalex.org/keywords/architectural-style","display_name":"Architectural style","score":0.45865580439567566},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4504399001598358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.445607990026474},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3693239688873291},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.17322388291358948},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.12109974026679993},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.12029927968978882}],"concepts":[{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6627662181854248},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.6510944962501526},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6351028680801392},{"id":"https://openalex.org/C2777364373","wikidata":"https://www.wikidata.org/wiki/Q32880","display_name":"Architectural style","level":3,"score":0.45865580439567566},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4504399001598358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.445607990026474},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3693239688873291},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.17322388291358948},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.12109974026679993},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.12029927968978882},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10726017","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10726017","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2275363859","https://openalex.org/W2475287302","https://openalex.org/W2962750014","https://openalex.org/W2963920537","https://openalex.org/W3003414974","https://openalex.org/W3133355501","https://openalex.org/W6640174519","https://openalex.org/W6694129886"],"related_works":["https://openalex.org/W2356229341","https://openalex.org/W2349768204","https://openalex.org/W4313326281","https://openalex.org/W574867512","https://openalex.org/W2387271333","https://openalex.org/W581389233","https://openalex.org/W2361120309","https://openalex.org/W632157940","https://openalex.org/W2378579648","https://openalex.org/W3114554215"],"abstract_inverted_index":{"In":[0,130],"recent":[1],"years,":[2],"the":[3,26,34,93,96,99,118,150,165,182,190,218,223,242,248],"convergence":[4],"of":[5,29,36,56,95,114,136,152,169],"computational":[6],"artistry":[7],"and":[8,31,44,87,92,140,161,167,177,208,228,247],"architectural":[9,21,45,68,100,123,259],"visualization":[10],"has":[11],"led":[12],"to":[13,41,67,76,83,121,126,148,188,232,240],"innovative":[14],"techniques":[15],"for":[16,214,251,258],"infusing":[17],"artistic":[18,80],"styles":[19],"into":[20],"imagery.":[22],"This":[23],"paper":[24],"explores":[25],"fascinating":[27],"intersection":[28],"art":[30],"architecture":[32],"through":[33],"application":[35,86],"neural":[37],"style":[38,57,65,97,157,195,252],"transfer":[39,58,66,196,253],"algorithms":[40],"urban":[42],"landscapes":[43],"compositions.":[46,129],"Traditional":[47],"image":[48],"editing":[49],"procedures":[50],"or":[51],"hand":[52],"painting":[53],"represent":[54],"examples":[55],"methods":[59],"with":[60],"severe":[61],"limitations.":[62],"When":[63],"applying":[64],"images,":[69,184],"structural":[70],"details":[71],"may":[72,109],"be":[73],"lost":[74],"due":[75],"an":[77],"overemphasis":[78],"on":[79,164,181],"style,":[81],"leading":[82,125],"unrealistic":[84],"texture":[85],"visual":[88,209],"incoherence.":[89],"Color":[90],"distortion":[91],"risk":[94],"overpowering":[98],"content":[101,159,200],"further":[102],"compound":[103],"these":[104,175,235],"challenges.":[105],"Additionally,":[106],"inadequate":[107],"hyperparameters":[108,142,176,250],"result":[110],"in":[111],"a":[112],"loss":[113],"contextual":[115],"understanding,":[116],"where":[117],"algorithm":[119],"fails":[120],"grasp":[122],"significance,":[124],"visually":[127],"confusing":[128],"this":[131,185],"work,":[132],"various":[133],"pre-trained":[134,244],"models":[135],"CNN(Convolutional":[137],"Neural":[138],"Network)":[139],"their":[141,179],"are":[143,211,230,255],"compared.":[144],"The":[145,237],"study":[146],"aims":[147,187],"evaluate":[149],"impact":[151],"different":[153],"hyperparameters,":[154],"such":[155],"as":[156],"weight,":[158,160],"learning":[162],"rate,":[163],"quality":[166,210],"fidelity":[168,197],"stylized":[170],"images.":[171,260],"By":[172],"systematically":[173],"varying":[174],"analyzing":[178],"effects":[180],"output":[183],"research":[186,238],"identify":[189],"optimal":[191],"combination":[192],"that":[193,254],"maximizes":[194],"while":[198],"preserving":[199],"details.":[201],"Content":[202],"preservation,":[203],"geometric":[204],"distortion,":[205],"artifact":[206],"reduction,":[207],"important":[212],"criteria":[213],"comparison.":[215],"Metrics":[216],"like":[217],"Peak":[219],"Signal-to-Noise":[220],"Ratio":[221],"(PSNR),":[222],"Structural":[224],"Similarity":[225],"Index":[226],"(SSI),":[227],"others":[229],"used":[231],"statistically":[233],"assess":[234],"properties.":[236],"attempts":[239],"determine":[241],"best":[243,249],"CNN":[245],"model":[246],"most":[256],"suitable":[257]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}