{"id":"https://openalex.org/W4308235784","doi":"https://doi.org/10.1109/icip46576.2022.9897728","title":"Revisiting Artistic Style Transfer for Data Augmentation in A Real-Case Scenario","display_name":"Revisiting Artistic Style Transfer for Data Augmentation in A Real-Case Scenario","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308235784","doi":"https://doi.org/10.1109/icip46576.2022.9897728"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897728","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03921565","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5105939401","display_name":"Stefano D\u2019Angelo","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Stefano D'Angelo","raw_affiliation_strings":["Université Côte d’Azur,CNRS, Inria, I3S","Scalable and Pervasive softwARe and Knowledge Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d’Azur,CNRS, Inria, I3S","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Scalable and Pervasive softwARe and Knowledge Systems","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005307040","display_name":"F\u0155ed\u0301eric Precioso","orcid":"https://orcid.org/0000-0001-8712-1443"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederic Precioso","raw_affiliation_strings":["Université Côte d’Azur,CNRS, Inria, I3S","Scalable and Pervasive softwARe and Knowledge Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d’Azur,CNRS, Inria, I3S","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Scalable and Pervasive softwARe and Knowledge Systems","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044946197","display_name":"Fabien Gandon","orcid":"https://orcid.org/0000-0003-0543-1232"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabien Gandon","raw_affiliation_strings":["Université Côte d’Azur,Inria, CNRS, I3S","Scalable and Pervasive softwARe and Knowledge Systems","Web-Instrumented Man-Machine Interactions, Communities and Semantics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Université Côte d’Azur,Inria, CNRS, I3S","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Scalable and Pervasive softwARe and Knowledge Systems","institution_ids":[]},{"raw_affiliation_string":"Web-Instrumented Man-Machine Interactions, Communities and Semantics","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1326498283"],"apc_list":null,"apc_paid":null,"fwci":0.2774,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.61308999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"4178","last_page":"4182"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9830999970436096,"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/style","display_name":"Style (visual arts)","score":0.7260099649429321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5735055804252625},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.421718567609787},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38254234194755554},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.19724416732788086},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.16705653071403503},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.06360286474227905}],"concepts":[{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.7260099649429321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5735055804252625},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.421718567609787},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38254234194755554},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.19724416732788086},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.16705653071403503},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.06360286474227905}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip46576.2022.9897728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897728","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03921565v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03921565","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE ICIP 2022 - 29th IEEE International Conference on Image Processing, Oct 2022, Bordeaux, France. pp.4178-4182, ⟨10.1109/ICIP46576.2022.9897728⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03921565v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03921565","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE ICIP 2022 - 29th IEEE International Conference on Image Processing, Oct 2022, Bordeaux, France. pp.4178-4182, ⟨10.1109/ICIP46576.2022.9897728⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2275363859","https://openalex.org/W2604721644","https://openalex.org/W2611605760","https://openalex.org/W2910439676","https://openalex.org/W2937552151","https://openalex.org/W2962750014","https://openalex.org/W2962793481","https://openalex.org/W2963920537","https://openalex.org/W2966492512","https://openalex.org/W3005007232","https://openalex.org/W4221025151"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"A":[0],"tremendous":[1],"number":[2],"of":[3,23,35,78,96],"techniques":[4,19,37],"have":[5],"been":[6],"proposed":[7],"to":[8,15,29,47,75,106,118,126,143,146],"transfer":[9,120],"artistic":[10],"style":[11,77,122],"from":[12,25,123],"one":[13],"image":[14],"another.":[16],"In":[17,60],"particular,":[18],"exploiting":[20],"neural":[21],"representation":[22],"data;":[24],"Convolutional":[26],"Neural":[27],"Networks":[28],"Generative":[30],"Adversarial":[31],"Networks.":[32],"However,":[33],"most":[34],"these":[36],"do":[38],"not":[39],"accurately":[40],"account":[41],"for":[42],"the":[43,48,76,79,93,108,121,124],"semantic":[44,113,132],"information":[45],"related":[46],"objects":[49],"present":[50],"in":[51],"both":[52,116],"images":[53,117],"or":[54],"require":[55],"a":[56,65,127],"considerable":[57],"training":[58,86],"set.":[59],"this":[61,103],"paper,":[62],"we":[63],"provide":[64],"data":[66],"augmentation":[67],"technique":[68],"that":[69],"is":[70,136],"as":[71,73,84,88,90],"faithful":[72],"possible":[74],"reference":[80],"artist,":[81],"while":[82,129],"requiring":[83],"few":[85],"samples":[87],"possible,":[89],"artworks":[91],"containing":[92],"same":[94],"semantics":[95],"an":[97],"artist":[98],"are":[99],"usually":[100],"rare.":[101],"Hence,":[102],"paper":[104],"aims":[105],"improve":[107],"state-of-the-art":[109],"by":[110],"first":[111],"applying":[112],"segmentation":[114],"on":[115,138],"then":[119],"painting":[125],"photo":[128],"preserving":[130],"common":[131],"regions.":[133],"The":[134],"method":[135],"exemplified":[137],"Van":[139],"Gogh\u2019s":[140],"paintings,":[141],"shown":[142],"be":[144],"challenging":[145],"segment.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}