{"id":"https://openalex.org/W2774183990","doi":"https://doi.org/10.1145/3132787.3132815","title":"Pictory - neural style transfer and editing with coreML","display_name":"Pictory - neural style transfer and editing with coreML","publication_year":2017,"publication_date":"2017-11-27","ids":{"openalex":"https://openalex.org/W2774183990","doi":"https://doi.org/10.1145/3132787.3132815","mag":"2774183990"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132787.3132815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5076333900","display_name":"Sebastian Pasewaldt","orcid":null},"institutions":[],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Pasewaldt","raw_affiliation_strings":["Digital Masterpieces GmbH, Germany"],"affiliations":[{"raw_affiliation_string":"Digital Masterpieces GmbH, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076672226","display_name":"Amir Semmo","orcid":"https://orcid.org/0000-0002-1553-4940"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Amir Semmo","raw_affiliation_strings":["University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"University of Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000214633","display_name":"Mandy Klingbeil","orcid":null},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Mandy Klingbeil","raw_affiliation_strings":["University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"University of Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081246092","display_name":"J\u00fargen D\u00f6llner","orcid":"https://orcid.org/0000-0002-8981-8583"},"institutions":[{"id":"https://openalex.org/I176453806","display_name":"University of Potsdam","ror":"https://ror.org/03bnmw459","country_code":"DE","type":"education","lineage":["https://openalex.org/I176453806"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00fcrgen D\u00f6llner","raw_affiliation_strings":["University of Potsdam, Germany"],"affiliations":[{"raw_affiliation_string":"University of Potsdam, Germany","institution_ids":["https://openalex.org/I176453806"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.12,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.44382,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":75,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9979,"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":0.9979,"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":0.9973,"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":0.9968,"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/image-editing","display_name":"Image editing","score":0.5012274},{"id":"https://openalex.org/keywords/non-photorealistic-rendering","display_name":"Non-photorealistic rendering","score":0.4306203}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8277645},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.79343766},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.53232235},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.5012274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43848652},{"id":"https://openalex.org/C155650255","wikidata":"https://www.wikidata.org/wiki/Q259326","display_name":"Non-photorealistic rendering","level":5,"score":0.4306203},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3626568},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3461011},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.32775047},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26771954},{"id":"https://openalex.org/C138591656","wikidata":"https://www.wikidata.org/wiki/Q5157538","display_name":"Computer facial animation","level":4,"score":0.0},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.0},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3132787.3132815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.43,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"grants":[{"funder":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung","award_id":"01IS15041"}],"datasets":[],"versions":[],"referenced_works_count":9,"referenced_works":["https://openalex.org/W1894512225","https://openalex.org/W2104600947","https://openalex.org/W2230240223","https://openalex.org/W2331128040","https://openalex.org/W2475287302","https://openalex.org/W2613099748","https://openalex.org/W2619736762","https://openalex.org/W2739124023","https://openalex.org/W4241716071"],"related_works":["https://openalex.org/W3109786615","https://openalex.org/W2582295320","https://openalex.org/W2546082010","https://openalex.org/W2538420047","https://openalex.org/W2321393524","https://openalex.org/W2293614998","https://openalex.org/W2148593794","https://openalex.org/W2063390443","https://openalex.org/W2062719745","https://openalex.org/W1994715859"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"advances":[3],"in":[4,69],"the":[5,24,31,47,60,107,114,126],"design":[6],"and":[7,19,26,118,134,142],"implementation":[8],"of":[9,33,40,49,168],"Pictory,":[10],"an":[11,86],"iOS":[12],"app":[13],"for":[14],"artistic":[15,53,92],"neural":[16,34,82],"style":[17,35,115],"transfer":[18],"interactive":[20,119],"image":[21,163],"editing":[22,164],"using":[23,78],"CoreML":[25],"Metal":[27],"APIs.":[28],"Pictory":[29,138],"combines":[30],"benefits":[32],"transfer,":[36],"e.g.,":[37],"high":[38],"degree":[39],"abstraction":[41],"on":[42,55,132],"a":[43,56,70,74,79],"global":[44],"scale,":[45],"with":[46],"interactivity":[48],"GPU-accelerated":[50],"state-of-the-art":[51],"image-based":[52,91],"rendering":[54,93],"local":[57],"scale.":[58],"Thereby,":[59,109],"user":[61,136],"is":[62,76],"empowered":[63],"to":[64,84,104,123,144,158,161],"create":[65],"high-resolution,":[66],"abstracted":[67],"renditions":[68],"two-stage":[71],"approach.":[72],"First,":[73],"photo":[75],"transformed":[77],"pre-trained":[80],"convolutional":[81],"network":[83],"obtain":[85],"intermediate":[87],"stylized":[88],"representation.":[89],"Second,":[90],"techniques":[94],"(e.g.,":[95],"watercolor,":[96],"oil":[97],"paint":[98],"or":[99],"toon":[100],"filtering)":[101],"are":[102,121],"used":[103],"further":[105],"stylize":[106],"image.":[108],"fine-scale":[110],"texture":[111],"noise---introduced":[112],"by":[113,153],"transfer---is":[116],"filtered":[117],"means":[120],"provided":[122],"individually":[124],"adjust":[125],"stylization":[127],"effects":[128],"at":[129,165],"run-time.":[130],"Based":[131],"qualitative":[133],"quantitative":[135],"studies,":[137],"has":[139],"been":[140],"redesigned":[141],"optimized":[143],"support":[145],"casual":[146],"users":[147],"as":[148,150],"well":[149],"mobile":[151],"artists":[152],"providing":[154],"effective,":[155],"yet":[156],"easy":[157],"understand,":[159],"tools":[160],"facilitate":[162],"multiple":[166],"levels":[167],"control.":[169]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2774183990","counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-01-17T08:10:49.092367","created_date":"2017-12-22"}