{"id":"https://openalex.org/W2777736896","doi":"https://doi.org/10.1109/dicta.2017.8227439","title":"Heterogeneous Image Stylization Using Neural Networks","display_name":"Heterogeneous Image Stylization Using Neural Networks","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2777736896","doi":"https://doi.org/10.1109/dicta.2017.8227439","mag":"2777736896"},"language":"en","primary_location":{"id":"doi:10.1109/dicta.2017.8227439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","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/A5056006887","display_name":"Tong Bai","orcid":"https://orcid.org/0000-0001-5612-0675"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tong Bai","raw_affiliation_strings":["School of Electrical and Computer Engineering, Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026054182","display_name":"Gary Overett","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726789","display_name":"Xiaopeng Motors (China)","ror":"https://ror.org/05a5cgn70","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726789"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gary Overett","raw_affiliation_strings":["Intelligent Systems Department, Xiaopeng Motors, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"Intelligent Systems Department, Xiaopeng Motors, Guangzhou, China","institution_ids":["https://openalex.org/I4401726789"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5056006887"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19008824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"7"},"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":0.9980000257492065,"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":0.9980000257492065,"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":0.9966999888420105,"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":0.9937999844551086,"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":0.84572434425354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7427335977554321},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6546977162361145},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6201688051223755},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5640604496002197},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5607112050056458},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49224653840065},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.488398015499115},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4708171486854553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4614464342594147},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4352342486381531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.84572434425354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7427335977554321},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6546977162361145},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6201688051223755},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5640604496002197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5607112050056458},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49224653840065},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.488398015499115},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4708171486854553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4614464342594147},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4352342486381531}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dicta.2017.8227439","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dicta.2017.8227439","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1849277567","https://openalex.org/W1861492603","https://openalex.org/W1915485278","https://openalex.org/W1932624639","https://openalex.org/W1980740976","https://openalex.org/W1999360130","https://openalex.org/W2031489346","https://openalex.org/W2097117768","https://openalex.org/W2115579991","https://openalex.org/W2116013899","https://openalex.org/W2117539524","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2232702494","https://openalex.org/W2275363859","https://openalex.org/W2331128040","https://openalex.org/W2461455396","https://openalex.org/W2475287302","https://openalex.org/W2545656684","https://openalex.org/W2613718673","https://openalex.org/W2953054324","https://openalex.org/W3102542372","https://openalex.org/W4301103953","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6639204139","https://openalex.org/W6702130928","https://openalex.org/W6785315082"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Automated":[0],"image":[1,73,95],"stylization":[2,68,121],"to":[3,44,70,165],"create":[4],"artistically":[5],"pleasing":[6],"images":[7],"from":[8],"ordinary":[9],"photographs":[10],"is":[11],"an":[12],"interesting":[13],"and":[14,53,93,138,160],"useful":[15],"task":[16],"in":[17,105],"computer":[18],"vision.":[19],"Therefore,":[20],"several":[21],"automated":[22],"styling":[23],"methods":[24,63],"have":[25],"been":[26],"developed":[27],"using":[28],"powerful":[29],"Deep":[30,129],"Neural":[31,131],"Network":[32],"(DNN)":[33],"features.":[34],"They":[35],"typically":[36],"use":[37,125],"a":[38,50,65,103,119,127,145],"carefully":[39],"constructed":[40],"joint":[41],"loss":[42],"function":[43],"separately":[45],"consider":[46,152],"the":[47,54,71,90,100,106,156,162],"similarities":[48],"between":[49],"proposed":[51],"output":[52],"input":[55,91],"content":[56,94,101],"&":[57],"style":[58,92],"images.":[59],"However,":[60],"most":[61],"previous":[62],"apply":[64],"single":[66],"homogeneous":[67],"optimization":[69],"entire":[72],"or":[74,98],"require":[75],"manual":[76],"creation":[77],"of":[78,108,126,158],"segmentation":[79],"masks":[80],"for":[81],"good":[82],"performance.":[83],"These":[84],"systems":[85],"may":[86],"perform":[87],"poorly":[88],"when":[89],"differ":[96],"greatly,":[97],"if":[99],"requires":[102],"difference":[104],"rendering":[107],"certain":[109],"regions":[110],"(e.g.":[111],"facial":[112],"details).":[113],"In":[114],"this":[115],"paper,":[116],"we":[117],"propose":[118],"heterogeneous":[120,148],"system":[122],"making":[123],"full":[124],"Segmentation":[128],"Convolution":[130],"Network,":[132],"which":[133,153],"produces":[134],"hierarchical":[135],"semantic":[136],"information":[137],"performs":[139],"feature":[140],"extraction":[141],"simultaneously.":[142],"This":[143],"allows":[144],"semantically":[146],"guided":[147],"stylization.":[149],"We":[150],"also":[151],"factors":[154],"influence":[155],"quality":[157],"stylization,":[159],"visualize":[161],"networks'":[163],"capacity":[164],"render":[166],"desired":[167],"details":[168],"effectively.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
