{"id":"https://openalex.org/W4399418862","doi":"https://doi.org/10.1145/3652583.3658019","title":"DualStyle3D: Real-time Exemplar-based Artistic Portrait View Synthesis Based on Radiance Field","display_name":"DualStyle3D: Real-time Exemplar-based Artistic Portrait View Synthesis Based on Radiance Field","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4399418862","doi":"https://doi.org/10.1145/3652583.3658019"},"language":"en","primary_location":{"id":"doi:10.1145/3652583.3658019","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658019","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658019","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658019","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5099043745","display_name":"Runlai Hao","orcid":"https://orcid.org/0009-0007-6067-0670"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Runlai Hao","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0007-6067-0670","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014994658","display_name":"Jinlong Li","orcid":"https://orcid.org/0000-0002-6037-6275"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong Li","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-6037-6275","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071745646","display_name":"Q. Chen","orcid":"https://orcid.org/0009-0001-2859-2488"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuju Chen","raw_affiliation_strings":["School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0001-2859-2488","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605447","display_name":"Huanhuan Chen","orcid":"https://orcid.org/0000-0002-3918-384X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Chen","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0002-3918-384X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5099043745"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06981201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"869","last_page":"877"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9940000176429749,"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/T11448","display_name":"Face recognition and analysis","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/portrait","display_name":"Portrait","score":0.891592264175415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7490493655204773},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6175320148468018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4934920072555542},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.47975099086761475},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.44641080498695374},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4392934739589691},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39495140314102173},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.19899088144302368},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.15000462532043457}],"concepts":[{"id":"https://openalex.org/C162462552","wikidata":"https://www.wikidata.org/wiki/Q134307","display_name":"Portrait","level":2,"score":0.891592264175415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7490493655204773},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6175320148468018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4934920072555542},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.47975099086761475},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.44641080498695374},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4392934739589691},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39495140314102173},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.19899088144302368},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.15000462532043457},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3652583.3658019","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658019","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658019","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3652583.3658019","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3652583.3658019","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3652583.3658019","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Multimedia Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399418862.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2475287302","https://openalex.org/W2603777577","https://openalex.org/W2884585870","https://openalex.org/W2902836694","https://openalex.org/W2962785568","https://openalex.org/W2964309429","https://openalex.org/W2969803502","https://openalex.org/W2969985801","https://openalex.org/W3035398999","https://openalex.org/W3039828778","https://openalex.org/W3141753784","https://openalex.org/W3170544306","https://openalex.org/W3173531806","https://openalex.org/W3176179930","https://openalex.org/W3201739204","https://openalex.org/W3203398299","https://openalex.org/W3211490618","https://openalex.org/W4200150166","https://openalex.org/W4285981758","https://openalex.org/W4289121779","https://openalex.org/W4310379971","https://openalex.org/W4312233178","https://openalex.org/W4312259872","https://openalex.org/W4312453532","https://openalex.org/W4312918802","https://openalex.org/W4312933868","https://openalex.org/W4319299838","https://openalex.org/W4379806248","https://openalex.org/W4380520308","https://openalex.org/W4385287058","https://openalex.org/W4386075744","https://openalex.org/W4386075950","https://openalex.org/W4390872420"],"related_works":["https://openalex.org/W2896728493","https://openalex.org/W2392142157","https://openalex.org/W2043512367","https://openalex.org/W4321518006","https://openalex.org/W2063032739","https://openalex.org/W2360001249","https://openalex.org/W594086971","https://openalex.org/W2315550989","https://openalex.org/W2031725242","https://openalex.org/W2331836163"],"abstract_inverted_index":{"To":[0],"generate":[1],"novel":[2,22,32],"views":[3],"of":[4,62,79,133,136,140],"artistic":[5,82,106,122],"portraits":[6],"from":[7,100,124],"a":[8,13,21,31,68,93],"source":[9],"face":[10,44],"image":[11],"and":[12,46,76,104,138],"reference":[14],"style":[15,61,153],"exemplar":[16],"in":[17],"real-time,":[18,150],"we":[19,29,66,91],"propose":[20,67],"structure,":[23],"namely":[24],"DualStyle3D.":[25],"In":[26],"our":[27,129],"DualStyle3D,":[28],"introduce":[30],"\"encoder-decoder''":[33],"structure":[34,78],"to":[35,58,71,97,108,119],"reduce":[36],"the":[37,52,60,63,73,77,80,116],"generation":[38],"time":[39,117],"cost":[40],"by":[41],"directly":[42],"taking":[43],"images":[45],"exemplars":[47],"as":[48],"inputs":[49],"while":[50],"eliminating":[51],"time-consuming":[53],"3D-GAN":[54,103],"inversion":[55],"process.":[56],"Moreover,":[57],"manage":[59],"generated":[64],"portrait,":[65],"StyleAdaption3D":[69],"module":[70],"control":[72],"color":[74],"tune":[75],"synthesized":[81],"portrait":[83,123,127,152],"based":[84],"on":[85,142],"three":[86],"different":[87],"granular":[88],"features.":[89],"Furthermore,":[90],"employ":[92],"progressive":[94],"training":[95],"strategy":[96],"distill":[98],"knowledge":[99],"both":[101],"pretrained":[102],"2D":[105],"GAN":[107],"achieve":[109],"robust":[110],"convergence.":[111],"Our":[112],"experiments":[113],"demonstrate":[114],"that":[115],"required":[118],"synthesize":[120],"an":[121,125],"input":[126],"using":[128],"DualStyle3D":[130],"is":[131],"0.08%":[132],"CIPS-3D,":[134],"0.16%":[135],"3DAvatarGAN,":[137],"30.56%":[139],"DeformToon3D":[141],"Nvidia":[143],"RTX":[144],"3090,":[145],"showcasing":[146],"its":[147],"potential":[148],"for":[149],"exemplar-based":[151],"transfer.":[154]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
