{"id":"https://openalex.org/W4307739449","doi":"https://doi.org/10.1109/icip46576.2022.9897334","title":"A Patch-Based Approach for Artistic Style Transfer Via Constrained Multi-Scale Image Matching","display_name":"A Patch-Based Approach for Artistic Style Transfer Via Constrained Multi-Scale Image Matching","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4307739449","doi":"https://doi.org/10.1109/icip46576.2022.9897334"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897334","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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03826671","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045464171","display_name":"Benjamin Samuth","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I194210350","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Ing\u00e9nieurs de Caen","ror":"https://ror.org/01fpqqe90","country_code":"FR","type":"education","lineage":["https://openalex.org/I194210350","https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I98702875","display_name":"Universit\u00e9 de Caen Normandie","ror":"https://ror.org/051kpcy16","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Benjamin Samuth","raw_affiliation_strings":["Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000"],"affiliations":[{"raw_affiliation_string":"Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000","institution_ids":["https://openalex.org/I98702875","https://openalex.org/I194210350","https://openalex.org/I4210139483","https://openalex.org/I4210105918","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081478051","display_name":"David Tschumperl\u00e9","orcid":"https://orcid.org/0000-0003-3454-5079"},"institutions":[{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I98702875","display_name":"Universit\u00e9 de Caen Normandie","ror":"https://ror.org/051kpcy16","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I194210350","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Ing\u00e9nieurs de Caen","ror":"https://ror.org/01fpqqe90","country_code":"FR","type":"education","lineage":["https://openalex.org/I194210350","https://openalex.org/I4210105918"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Tschumperle","raw_affiliation_strings":["Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000"],"affiliations":[{"raw_affiliation_string":"Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000","institution_ids":["https://openalex.org/I98702875","https://openalex.org/I194210350","https://openalex.org/I4210139483","https://openalex.org/I4210105918","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030910160","display_name":"Julien Rabin","orcid":null},"institutions":[{"id":"https://openalex.org/I98702875","display_name":"Universit\u00e9 de Caen Normandie","ror":"https://ror.org/051kpcy16","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I194210350","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Ing\u00e9nieurs de Caen","ror":"https://ror.org/01fpqqe90","country_code":"FR","type":"education","lineage":["https://openalex.org/I194210350","https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I4210139483","display_name":"GREYC","ror":"https://ror.org/043749971","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I4210159245","https://openalex.org/I98702875"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Julien Rabin","raw_affiliation_strings":["Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000"],"affiliations":[{"raw_affiliation_string":"Normandie Univ.,UNICAEN, ENSICAEN, CNRS, GREYC,Caen,France,14000","institution_ids":["https://openalex.org/I98702875","https://openalex.org/I194210350","https://openalex.org/I4210139483","https://openalex.org/I4210105918","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045464171"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I194210350","https://openalex.org/I4210105918","https://openalex.org/I4210139483","https://openalex.org/I98702875"],"apc_list":null,"apc_paid":null,"fwci":0.4794,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.7322829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3490","last_page":"3494"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9955999851226807,"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":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7301297783851624},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6600168347358704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6210546493530273},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6024054288864136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5835943818092346},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5001633167266846},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4834228754043579},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46287113428115845},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4421055316925049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43781739473342896},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.4330877661705017},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41310808062553406},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4106734097003937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34845542907714844},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14913946390151978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7301297783851624},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6600168347358704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6210546493530273},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6024054288864136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5835943818092346},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5001633167266846},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4834228754043579},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46287113428115845},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4421055316925049},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43781739473342896},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.4330877661705017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41310808062553406},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4106734097003937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34845542907714844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14913946390151978},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip46576.2022.9897334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897334","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-03826671v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03826671","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing (ICIP'2022), Oct 2022, Bordeaux, France. &#x27E8;10.1109/ICIP46576.2022.9897334&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03826671v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03826671","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Image Processing (ICIP'2022), Oct 2022, Bordeaux, France. &#x27E8;10.1109/ICIP46576.2022.9897334&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1941325251","https://openalex.org/W1993120651","https://openalex.org/W1999360130","https://openalex.org/W1999504879","https://openalex.org/W2068623560","https://openalex.org/W2069237980","https://openalex.org/W2116013899","https://openalex.org/W2164490837","https://openalex.org/W2292976057","https://openalex.org/W2471440592","https://openalex.org/W2475287302","https://openalex.org/W2520715860","https://openalex.org/W2603777577","https://openalex.org/W2605183293","https://openalex.org/W2615683174","https://openalex.org/W3036774376","https://openalex.org/W3106221724","https://openalex.org/W3158958945","https://openalex.org/W3201557446","https://openalex.org/W3202767484","https://openalex.org/W4213005765","https://openalex.org/W4213289639","https://openalex.org/W4298054669","https://openalex.org/W6637373629","https://openalex.org/W6747806750"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4293226380","https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3176438653","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138"],"abstract_inverted_index":{"Since":[0],"a":[1,25,65,73],"few":[2],"years":[3],"and":[4,98],"the":[5,78,96,103,109,113],"advent":[6],"of":[7,77,87,105,112],"convolutional":[8],"neural":[9,52,99],"networks,":[10],"algorithms":[11,46],"for":[12,69],"artistic":[13],"style":[14,70,88],"transfer":[15],"between":[16],"images":[17],"have":[18],"developed":[19],"considerably.":[20],"However,":[21],"these":[22],"methods":[23],"require":[24],"relatively":[26],"long":[27],"training":[28],"phase":[29],"in":[30,60,108],"order":[31],"to":[32,43,48,94],"succeed.":[33],"This":[34,54],"is":[35],"why":[36],"non-learning":[37],"image":[38,106],"processing":[39],"approaches":[40],"recently":[41],"strove":[42],"propose":[44],"patch-based":[45,67,97],"able":[47],"aesthetically":[49],"compete":[50],"with":[51],"methods.":[53],"paper":[55],"goes":[56],"one":[57],"step":[58],"further":[59],"this":[61],"direction":[62],"by":[63,101],"introducing":[64],"new":[66],"method":[68,91],"transfer,":[71],"using":[72],"constrained":[74],"multi-scale":[75],"version":[76],"fast":[79],"approximate":[80],"nearest-neighbor":[81],"algorithm":[82],"PatchMatch,":[83],"enforcing":[84],"uniform":[85],"sampling":[86],"featurepatch.":[89],"Our":[90],"also":[92],"aims":[93],"mix":[95],"paradigms":[100],"enabling":[102],"embedding":[104],"patches":[107],"feature":[110],"space":[111],"VGG-16":[114],"network.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
