iBet uBet
web content aggregator. Adding the entire web to your favor.
Link to original content:
https://api.openalex.org/works/doi:10.1109/ICCV48922.2021.01434
{"id":"https://openalex.org/W4214496973","doi":"https://doi.org/10.1109/iccv48922.2021.01434","title":"Domain-Aware Universal Style Transfer","display_name":"Domain-Aware Universal Style Transfer","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W4214496973","doi":"https://doi.org/10.1109/iccv48922.2021.01434"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv48922.2021.01434","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.04441","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012379473","display_name":"Kibeom Hong","orcid":"https://orcid.org/0000-0003-2366-6318"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kibeom Hong","raw_affiliation_strings":["Yonsei University,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Computer Science","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051860463","display_name":"Seogkyu Jeon","orcid":"https://orcid.org/0000-0002-3770-0399"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seogkyu Jeon","raw_affiliation_strings":["Yonsei University,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Computer Science","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101953782","display_name":"Huan Yang","orcid":"https://orcid.org/0000-0002-8612-0702"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Huan Yang","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072029041","display_name":"Jianlong Fu","orcid":"https://orcid.org/0000-0002-1025-2012"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianlong Fu","raw_affiliation_strings":["Microsoft Research"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049739329","display_name":"Hyeran Byun","orcid":"https://orcid.org/0000-0002-3082-3214"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeran Byun","raw_affiliation_strings":["Graduate school of AI, Yonsei University","Yonsei University,Department of Computer Science"],"affiliations":[{"raw_affiliation_string":"Yonsei University,Department of Computer Science","institution_ids":["https://openalex.org/I193775966"]},{"raw_affiliation_string":"Graduate school of AI, Yonsei University","institution_ids":["https://openalex.org/I193775966"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.101,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.748913,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks in Image Processing","score":0.9993,"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 in Image Processing","score":0.9993,"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":0.9986,"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/T11105","display_name":"Single Image Super-Resolution Techniques","score":0.9957,"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-transfer","display_name":"Style Transfer","score":0.669335},{"id":"https://openalex.org/keywords/color-transfer","display_name":"Color Transfer","score":0.582769},{"id":"https://openalex.org/keywords/palette","display_name":"Palette (painting)","score":0.44848478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7802257},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.66179013},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.54571295},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48931476},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.47387147},{"id":"https://openalex.org/C2779674283","wikidata":"https://www.wikidata.org/wiki/Q425548","display_name":"Palette (painting)","level":2,"score":0.44848478},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4126115},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34617448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12912399},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"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":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv48922.2021.01434","pdf_url":null,"source":{"id":"https://openalex.org/S4363607764","display_name":"2021 IEEE/CVF International Conference on Computer Vision (ICCV)","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":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2108.04441","pdf_url":"https://arxiv.org/pdf/2108.04441","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2108.04441","pdf_url":"https://arxiv.org/pdf/2108.04441","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.76}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":33,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W2035773017","https://openalex.org/W2125879936","https://openalex.org/W2331128040","https://openalex.org/W2475287302","https://openalex.org/W2572730214","https://openalex.org/W2603777577","https://openalex.org/W2604721644","https://openalex.org/W2617602381","https://openalex.org/W2765407302","https://openalex.org/W2798722152","https://openalex.org/W2899771611","https://openalex.org/W2959891120","https://openalex.org/W2963095605","https://openalex.org/W2963683323","https://openalex.org/W2963789515","https://openalex.org/W2964242696","https://openalex.org/W2964309429","https://openalex.org/W2969803502","https://openalex.org/W2989045104","https://openalex.org/W2990798426","https://openalex.org/W2997418011","https://openalex.org/W3035022492","https://openalex.org/W3035057895","https://openalex.org/W3092713047","https://openalex.org/W3095422700","https://openalex.org/W3102045778","https://openalex.org/W3175006244","https://openalex.org/W3176935213","https://openalex.org/W4298135604","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4234082839","https://openalex.org/W3183827559","https://openalex.org/W3093339210","https://openalex.org/W3015037427","https://openalex.org/W2890578708","https://openalex.org/W2509410833","https://openalex.org/W2384383935","https://openalex.org/W2368237188","https://openalex.org/W2167830588","https://openalex.org/W2004761075"],"abstract_inverted_index":{"Style":[0,100],"transfer":[1,16,85,105,158],"aims":[2],"to":[3,22,50,65,156,163],"reproduce":[4],"content":[5,58],"images":[6,24],"with":[7,152],"the":[8,34,46,55,82,87,108,112,134,138,159,164,169],"styles":[9,21],"from":[10,118,137],"reference":[11,121,144],"images.":[12,145],"Existing":[13],"universal":[14],"style":[15,84,109],"methods":[17,186],"successfully":[18],"deliver":[19],"arbitrary":[20],"original":[23],"either":[25],"in":[26,45,80,187],"an":[27],"artistic":[28,76,194],"or":[29],"a":[30,66,71,96,119,128,149],"photo-realistic":[31,74,196],"way.":[32],"However,":[33],"range":[35],"of":[36,57,114,143,189],"\"arbitrary":[37],"style\"":[38],"defined":[39],"by":[40,168],"existing":[41],"works":[42],"is":[43],"bounded":[44],"particular":[47],"domain":[48,115],"due":[49],"their":[51],"structural":[52,141],"limitation.":[53],"Specifically,":[54],"degrees":[56],"preservation":[59],"and":[60,75,140,161,183,195,200],"stylization":[61],"are":[62,203],"established":[63],"according":[64],"predefined":[67],"target":[68],"domain.":[69,89],"As":[70],"result,":[72],"both":[73,193],"models":[77],"have":[78],"difficulty":[79],"performing":[81],"desired":[83],"for":[86],"other":[88],"To":[90,123],"overcome":[91],"this":[92,124],"limitation,":[93],"we":[94,126,147],"propose":[95],"unified":[97,150],"architecture,":[98],"Domain-aware":[99],"Transfer":[101],"Networks":[102],"(DSTN)":[103],"that":[104,132,176],"not":[106],"only":[107],"but":[110],"also":[111],"property":[113],"(i.e.,":[116],"domainness)":[117],"given":[120],"image.":[122],"end,":[125],"design":[127],"novel":[129],"domainness":[130,135,170],"indicator":[131],"captures":[133],"value":[136],"texture":[139],"features":[142],"Moreover,":[146],"introduce":[148],"framework":[151],"domainaware":[153],"skip":[154],"connection":[155],"adaptively":[157],"stroke":[160],"palette":[162],"input":[165],"contents":[166],"guided":[167],"indicator.":[171],"Our":[172],"extensive":[173],"experiments":[174],"validate":[175],"our":[177],"model":[178],"produces":[179],"better":[180],"qualitative":[181],"results":[182],"outperforms":[184],"previous":[185],"terms":[188],"proxy":[190],"metrics":[191],"on":[192],"stylizations.":[197],"All":[198],"codes":[199],"pre-trained":[201],"weights":[202],"available":[204],"at":[205],"Kibeom-Hong/Domain-Aware-Style-Transfer.":[206]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4214496973","counts_by_year":[{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":12}],"updated_date":"2024-12-04T04:33:52.730908","created_date":"2022-03-02"}
