{"id":"https://openalex.org/W4386066388","doi":"https://doi.org/10.1109/cvpr52729.2023.00443","title":"RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion","display_name":"RODIN: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386066388","doi":"https://doi.org/10.1109/cvpr52729.2023.00443"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.00443","doi":"https://doi.org/10.1109/cvpr52729.2023.00443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00443","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2212.06135","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100416152","display_name":"Tengfei Wang","orcid":"https://orcid.org/0000-0002-3435-8110","observed_orcids":["https://orcid.org/0000-0002-3435-8110"]},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tengfei Wang","raw_affiliation_strings":["HKUST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770109","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-8052-782X","observed_orcids":["https://orcid.org/0000-0001-8052-782X","https://orcid.org/0000-0002-9795-4673","https://orcid.org/0009-0002-0171-4905","https://orcid.org/0009-0005-3354-8018"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738839","display_name":"Ting Zhang","orcid":"https://orcid.org/0000-0002-1899-1784","observed_orcids":["https://orcid.org/0000-0002-1899-1784","https://orcid.org/0009-0001-1967-713X","https://orcid.org/0000-0002-5748-9754","https://orcid.org/0009-0009-0822-1469"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting Zhang","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034954588","display_name":"Shuyang Gu","orcid":"https://orcid.org/0000-0003-4535-2280","observed_orcids":["https://orcid.org/0000-0003-4535-2280","https://orcid.org/0009-0009-4953-0989"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shuyang Gu","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101369681","display_name":"Jianmin Bao","orcid":"https://orcid.org/0009-0003-5626-3264","observed_orcids":["https://orcid.org/0009-0003-5626-3264"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianmin Bao","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058610902","display_name":"Tadas Baltru\u0161aitis","orcid":"https://orcid.org/0000-0001-7923-8780","observed_orcids":["https://orcid.org/0000-0001-7923-8780"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tadas Baltrusaitis","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101448467","display_name":"Jingjing Shen","orcid":"https://orcid.org/0000-0003-2811-8994","observed_orcids":["https://orcid.org/0000-0003-2811-8994"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingjing Shen","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319452","display_name":"Dong Chen","orcid":"https://orcid.org/0000-0002-0526-9346","observed_orcids":["https://orcid.org/0000-0002-0526-9346"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Chen","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070617771","display_name":"Fang Wen","orcid":"https://orcid.org/0000-0002-3170-8971","observed_orcids":["https://orcid.org/0000-0002-3170-8971"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fang Wen","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100719529","display_name":"Qifeng Chen","orcid":"https://orcid.org/0000-0003-2199-3948","observed_orcids":["https://orcid.org/0000-0003-2199-3948","https://orcid.org/0000-0003-3439-0521"]},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qifeng Chen","raw_affiliation_strings":["HKUST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"HKUST","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101666011","display_name":"Baining Guo","orcid":"https://orcid.org/0000-0001-8349-8868","observed_orcids":["https://orcid.org/0000-0001-8349-8868"]},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baining Guo","raw_affiliation_strings":["Microsoft Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.8582,"has_fulltext":true,"cited_by_count":258,"citation_normalized_percentile":{"value":0.9932914,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"4563","last_page":"4573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.7910000085830688,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.7910000085830688,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.20509999990463257,"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":0.0026000000070780516,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/3d-diffusion-models","display_name":"three-dimensional diffusion model","score":0.7620000243186951},{"id":"https://openalex.org/keywords/neural-radiance-fields","display_name":"neural radiance fields","score":0.9959999918937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257757425308228},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6776167154312134},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.5758659243583679},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.48999062180519104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48939600586891174},{"id":"https://openalex.org/C2777897806","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3D modeling","level":2,"score":0.47935038805007935},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.46773940324783325},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4647383689880371},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.4531940221786499},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45309996604919434},{"id":"https://openalex.org/C29081049","wikidata":"https://www.wikidata.org/wiki/Q1364242","display_name":"Image stitching","level":2,"score":0.4194563627243042},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3552231788635254},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3375888168811798},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.29941338300704956},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.19377174973487854},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cvpr52729.2023.00443","doi":"https://doi.org/10.1109/cvpr52729.2023.00443","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00443","pdf_url":null,"source":{"id":"https://openalex.org/S4210176548","display_name":"IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings","issn_l":"1063-6919","issn":["1063-6919","2332-564X","2575-7075"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2212.06135","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.06135","pdf_url":"https://arxiv.org/pdf/2212.06135","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-132370","doi":null,"is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1063-6919&rft.volume=2023-June&rft.issue=&rft.date=2023&rft.spage=4563&rft.aulast=Wang&rft.aufirst=Tengfei&rft.atitle=RODIN%3A+A+Generative+Model+for+Sculpting+3D+Digital+Avatars+Using+Diffusion&rft.title=Proceedings+of+the+IEEE+Computer+Society+Conference+on+Computer+Vision+and+Pattern+Recognition","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"doi:10.48550/arxiv.2212.06135","doi":"https://doi.org/10.48550/arxiv.2212.06135","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2212.06135","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2212.06135","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2212.06135","pdf_url":"https://arxiv.org/pdf/2212.06135","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386066388.pdf","grobid_xml":"https://content.openalex.org/works/W4386066388.grobid-xml"},"referenced_works_count":91,"referenced_works":["https://openalex.org/W2122572959","https://openalex.org/W2331128040","https://openalex.org/W2511691466","https://openalex.org/W2546066744","https://openalex.org/W2784996692","https://openalex.org/W2811426698","https://openalex.org/W2904367110","https://openalex.org/W2909750748","https://openalex.org/W2948978827","https://openalex.org/W2963981733","https://openalex.org/W2964449965","https://openalex.org/W2978506573","https://openalex.org/W3011537551","https://openalex.org/W3034566390","https://openalex.org/W3036167779","https://openalex.org/W3036234074","https://openalex.org/W3096831136","https://openalex.org/W3098510582","https://openalex.org/W3101267796","https://openalex.org/W3103242287","https://openalex.org/W3107517429","https://openalex.org/W3108645709","https://openalex.org/W3109420014","https://openalex.org/W3109585842","https://openalex.org/W3110257065","https://openalex.org/W3111551570","https://openalex.org/W3122887982","https://openalex.org/W3126434301","https://openalex.org/W3128607711","https://openalex.org/W3129576130","https://openalex.org/W3135287914","https://openalex.org/W3135367836","https://openalex.org/W3140373187","https://openalex.org/W3141954417","https://openalex.org/W3157104645","https://openalex.org/W3162926177","https://openalex.org/W3163847416","https://openalex.org/W3175702600","https://openalex.org/W3180196270","https://openalex.org/W3180391059","https://openalex.org/W3184345425","https://openalex.org/W3198213150","https://openalex.org/W3202800860","https://openalex.org/W3205325185","https://openalex.org/W3206804007","https://openalex.org/W3209532394","https://openalex.org/W3215769467","https://openalex.org/W4221165315","https://openalex.org/W4224035735","https://openalex.org/W4226125322","https://openalex.org/W4281485151","https://openalex.org/W4281718656","https://openalex.org/W4286611181","https://openalex.org/W4288099666","https://openalex.org/W4289785045","https://openalex.org/W4298185919","https://openalex.org/W4298187450","https://openalex.org/W4300425011","https://openalex.org/W4303440777","https://openalex.org/W4311806224","https://openalex.org/W4312327212","https://openalex.org/W4312358791","https://openalex.org/W4312388283","https://openalex.org/W4312453532","https://openalex.org/W4312567873","https://openalex.org/W4312933868","https://openalex.org/W4320166487","https://openalex.org/W4320539074","https://openalex.org/W4386065579","https://openalex.org/W4386072096","https://openalex.org/W4387195417","https://openalex.org/W4390874022","https://openalex.org/W6729001083","https://openalex.org/W6748208425","https://openalex.org/W6780879210","https://openalex.org/W6802159354","https://openalex.org/W6802668286","https://openalex.org/W6802987763","https://openalex.org/W6810986357","https://openalex.org/W6839048225","https://openalex.org/W6839481868","https://openalex.org/W6843226767","https://openalex.org/W6843813467","https://openalex.org/W6844603169","https://openalex.org/W6846015844","https://openalex.org/W7133202347","https://openalex.org/W7133202970","https://openalex.org/W7133208595","https://openalex.org/W7133210938","https://openalex.org/W7133220370","https://openalex.org/W7133223716"],"related_works":["https://openalex.org/W4405002951","https://openalex.org/W4402753957","https://openalex.org/W4402713106","https://openalex.org/W7128424260","https://openalex.org/W4390873024","https://openalex.org/W4386555067","https://openalex.org/W4417408815","https://openalex.org/W4415796253","https://openalex.org/W7133729353","https://openalex.org/W4404546506"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,54,69],"3D":[4,10,23,55,92,149,178],"diffusion":[5,24,49,93],"model":[6,57,82,154],"that":[7,26,98],"automatically":[8],"generates":[9],"digital":[11],"avatars":[12,130,150,168],"represented":[13,58],"as":[14,59,185,187],"neural":[15],"radiance":[16],"fields":[17],"(NeRFs).":[18],"A":[19],"significant":[20],"challenge":[21],"for":[22,34],"is":[25],"the":[27,47,89,104,121],"memory":[28],"and":[29,64,131,172],"processing":[30],"costs":[31],"are":[32],"prohibitive":[33],"producing":[35],"high-quality":[36],"results":[37],"with":[38,124,157,169],"rich":[39],"details.":[40,147],"To":[41],"tackle":[42],"this":[43],"problem,":[44],"we":[45,76,140],"propose":[46],"roll-out":[48],"network":[50],"(RODIN),":[51],"which":[52,75],"takes":[53],"NeRF":[56],"multiple":[60],"2D":[61,71,105],"feature":[62,72,122],"maps":[63],"rolls":[65],"out":[66],"them":[67],"onto":[68],"single":[70],"plane":[73,106],"within":[74],"perform":[77],"3D-aware":[78,96],"diffusion.":[79],"The":[80,148],"RODIN":[81],"brings":[83],"much-needed":[84],"computational":[85],"efficiency":[86],"while":[87],"preserving":[88],"integrity":[90],"of":[91],"by":[94,152,160],"using":[95],"convolution":[97],"attends":[99],"to":[100,108,119,128,144],"projected":[101],"features":[102],"in":[103,112],"according":[107],"their":[109],"original":[110],"relationships":[111],"3D.":[113],"We":[114,163,175],"also":[115,176],"use":[116,141],"latent":[117],"conditioning":[118],"orchestrate":[120],"generation":[123,180],"global":[125],"coherence,":[126],"leading":[127],"high-fidelity":[129],"enabling":[132],"semantic":[133],"editing":[134],"based":[135],"on":[136],"text":[137],"prompts.":[138],"Finally,":[139],"hierarchical":[142],"synthesis":[143],"further":[145],"enhance":[146],"generated":[151],"our":[153],"compare":[155],"favorably":[156],"those":[158],"produced":[159],"existing":[161],"techniques.":[162],"can":[164],"generate":[165],"highly":[166],"detailed":[167],"realistic":[170],"hairstyles":[171],"facial":[173],"hair.":[174],"demonstrate":[177],"avatar":[179],"from":[181],"image":[182],"or":[183],"text,":[184],"well":[186],"text-guided":[188],"editability.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":30},{"year":2025,"cited_by_count":87},{"year":2024,"cited_by_count":109},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-08-23T00:00:00"}
