{"id":"https://openalex.org/W4389080036","doi":"https://doi.org/10.1145/3610542.3626118","title":"Vector Gradient Stroke Stylized Neural Network Painting","display_name":"Vector Gradient Stroke Stylized Neural Network Painting","publication_year":2023,"publication_date":"2023-11-28","ids":{"openalex":"https://openalex.org/W4389080036","doi":"https://doi.org/10.1145/3610542.3626118"},"language":"en","primary_location":{"id":"doi:10.1145/3610542.3626118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610542.3626118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2023 Posters","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/A5070396468","display_name":"Johnny Lin","orcid":"https://orcid.org/0009-0008-3281-5737"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jia-Shuan Lin","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taipei University of Technology, Taiwan"],"raw_orcid":"https://orcid.org/0009-0008-3281-5737","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taipei University of Technology, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016823313","display_name":"Tung-Ju Hsieh","orcid":"https://orcid.org/0000-0002-8095-4837"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tung-Ju Hsieh","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taipei University of Technology, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-8095-4837","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taipei University of Technology, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070396468"],"corresponding_institution_ids":["https://openalex.org/I118292597"],"apc_list":null,"apc_paid":null,"fwci":0.4943,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76204422,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9958999752998352,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9958999752998352,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9952999949455261,"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":0.9919999837875366,"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":0.7628596425056458},{"id":"https://openalex.org/keywords/scalable-vector-graphics","display_name":"Scalable Vector Graphics","score":0.7588434219360352},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7550157308578491},{"id":"https://openalex.org/keywords/brush","display_name":"Brush","score":0.696880578994751},{"id":"https://openalex.org/keywords/vector-graphics","display_name":"Vector graphics","score":0.6595343351364136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6228969097137451},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6199326515197754},{"id":"https://openalex.org/keywords/vectorization","display_name":"Vectorization (mathematics)","score":0.5647462606430054},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5402588248252869},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.5245668888092041},{"id":"https://openalex.org/keywords/painting","display_name":"Painting","score":0.4790274202823639},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43581920862197876},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.39118197560310364},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.09818056225776672},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.0852031409740448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7628596425056458},{"id":"https://openalex.org/C202629362","wikidata":"https://www.wikidata.org/wiki/Q2078","display_name":"Scalable Vector Graphics","level":2,"score":0.7588434219360352},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7550157308578491},{"id":"https://openalex.org/C16108499","wikidata":"https://www.wikidata.org/wiki/Q1713927","display_name":"Brush","level":2,"score":0.696880578994751},{"id":"https://openalex.org/C59662460","wikidata":"https://www.wikidata.org/wiki/Q170130","display_name":"Vector graphics","level":3,"score":0.6595343351364136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6228969097137451},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6199326515197754},{"id":"https://openalex.org/C41681595","wikidata":"https://www.wikidata.org/wiki/Q7917855","display_name":"Vectorization (mathematics)","level":2,"score":0.5647462606430054},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5402588248252869},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.5245668888092041},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.4790274202823639},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43581920862197876},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.39118197560310364},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.09818056225776672},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0852031409740448},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3610542.3626118","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610542.3626118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2023 Posters","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1120767384","display_name":null,"funder_award_id":"MOST 111-2221-E-027-120-","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4210244968","https://openalex.org/W2046820499","https://openalex.org/W4312267855","https://openalex.org/W4388585877","https://openalex.org/W4392904089","https://openalex.org/W4385283764","https://openalex.org/W2207218846","https://openalex.org/W2097723793","https://openalex.org/W2013852177","https://openalex.org/W2049503325"],"abstract_inverted_index":{"This":[0],"study":[1],"focuses":[2],"on":[3],"the":[4,31,41,89,102,118],"oil":[5],"painting":[6,15,46],"brush":[7,26,104,119,139],"style":[8,14,130,140],"transfer":[9],"in":[10,43,127],"deep":[11],"convolutional":[12],"network-based":[13],"models.":[16],"We":[17],"proposes":[18],"an":[19],"SVG":[20,72],"gradient":[21,79,97,124],"vectorization":[22,73],"process":[23,115],"to":[24],"preserve":[25,117],"stroke":[27,120],"structures":[28],"while":[29],"avoiding":[30],"generation":[32],"of":[33,37,40,91],"a":[34],"large":[35],"number":[36],"paths.":[38],"Most":[39],"images":[42,77],"non-photorealistic":[44,128],"rendering":[45,129],"are":[47,106],"raster":[48],"images,":[49],"suffering":[50],"from":[51],"blurriness":[52],"and":[53,67,95,108,122,135],"quality":[54,137],"degradation":[55],"when":[56],"zoomed":[57],"in,":[58],"whereas":[59],"vector":[60],"graphics":[61],"offer":[62],"advantages":[63],"such":[64],"as":[65],"scalability":[66],"detail":[68],"preservation.":[69],"However,":[70],"existing":[71],"methods":[74],"struggle":[75],"with":[76],"containing":[78],"colors.":[80],"The":[81],"proposed":[82],"method":[83],"involves":[84],"vectorizing":[85],"each":[86],"brush,":[87],"analyzing":[88],"positions":[90],"main":[92],"color":[93,98,125],"tones,":[94],"incorporating":[96],"control":[99],"points.":[100],"Finally,":[101],"vectorized":[103],"results":[105,111],"stacked":[107],"merged.":[109],"Experimental":[110],"demonstrate":[112],"that":[113],"this":[114],"can":[116],"structure":[121],"present":[123],"effects":[126],"transfer,":[131],"enhancing":[132],"editing":[133],"flexibility":[134],"printing":[136],"for":[138],"transfer.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}