{"id":"https://openalex.org/W4286616002","doi":"https://doi.org/10.1145/3528223.3530079","title":"NIMBLE","display_name":"NIMBLE","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4286616002","doi":"https://doi.org/10.1145/3528223.3530079"},"language":"en","primary_location":{"id":"doi:10.1145/3528223.3530079","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3528223.3530079","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3528223.3530079","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3528223.3530079","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100331380","display_name":"Yuwei Li","orcid":"https://orcid.org/0000-0001-7606-9096"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuwei Li","raw_affiliation_strings":["ShanghaiTech University, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044492786","display_name":"Longwen Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longwen Zhang","raw_affiliation_strings":["ShanghaiTech University, China and Deemos Technology, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, China and Deemos Technology, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046875669","display_name":"Zesong Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zesong Qiu","raw_affiliation_strings":["ShanghaiTech University, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033831274","display_name":"Yingwenqi Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingwenqi Jiang","raw_affiliation_strings":["ShanghaiTech University, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042198120","display_name":"Nianyi Li","orcid":"https://orcid.org/0000-0002-4172-4940"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nianyi Li","raw_affiliation_strings":["Clemson University"],"affiliations":[{"raw_affiliation_string":"Clemson University","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102015139","display_name":"Yuexin Ma","orcid":"https://orcid.org/0000-0001-7237-988X"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuexin Ma","raw_affiliation_strings":["ShanghaiTech University, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100654429","display_name":"Yuyao Zhang","orcid":"https://orcid.org/0000-0001-6706-4867"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyao Zhang","raw_affiliation_strings":["ShanghaiTech University, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777698","display_name":"Lan Xu","orcid":"https://orcid.org/0000-0002-8807-7787"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Xu","raw_affiliation_strings":["Shanghaitech University, China"],"affiliations":[{"raw_affiliation_string":"Shanghaitech University, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101500646","display_name":"Jingyi Yu","orcid":"https://orcid.org/0000-0001-9198-6853"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Yu","raw_affiliation_strings":["ShanghaiTech University, China"],"affiliations":[{"raw_affiliation_string":"ShanghaiTech University, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100331380"],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":4.1859,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.95364214,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"41","issue":"4","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9987999796867371,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.7626005411148071},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.7253890037536621},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6113883256912231},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6103017330169678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5280340909957886},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4866824746131897},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48033180832862854},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.45117679238319397},{"id":"https://openalex.org/keywords/human-skeleton","display_name":"Human skeleton","score":0.43777748942375183},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43160784244537354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7626005411148071},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.7253890037536621},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6113883256912231},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6103017330169678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5280340909957886},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4866824746131897},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48033180832862854},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.45117679238319397},{"id":"https://openalex.org/C2777846634","wikidata":"https://www.wikidata.org/wiki/Q9621","display_name":"Human skeleton","level":2,"score":0.43777748942375183},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43160784244537354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3528223.3530079","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3528223.3530079","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3528223.3530079","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3528223.3530079","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3528223.3530079","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3528223.3530079","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1481951333","display_name":null,"funder_award_id":"2015F0203-000-06","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G8223180055","display_name":null,"funder_award_id":"61976138, 61977047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8600505247","display_name":null,"funder_award_id":"2018YFB2100500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4286616002.pdf","grobid_xml":"https://content.openalex.org/works/W4286616002.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1930710394","https://openalex.org/W1938204631","https://openalex.org/W1967554269","https://openalex.org/W1991359153","https://openalex.org/W1993962870","https://openalex.org/W2021426959","https://openalex.org/W2048211417","https://openalex.org/W2049462432","https://openalex.org/W2053162587","https://openalex.org/W2053843042","https://openalex.org/W2056316267","https://openalex.org/W2063844760","https://openalex.org/W2064488391","https://openalex.org/W2079512211","https://openalex.org/W2084455417","https://openalex.org/W2109991971","https://openalex.org/W2133059825","https://openalex.org/W2137044594","https://openalex.org/W2141387879","https://openalex.org/W2150457612","https://openalex.org/W2159043019","https://openalex.org/W2161604086","https://openalex.org/W2168376100","https://openalex.org/W2168894544","https://openalex.org/W2227547437","https://openalex.org/W2235136907","https://openalex.org/W2237250383","https://openalex.org/W2276059348","https://openalex.org/W2300200458","https://openalex.org/W2552247836","https://openalex.org/W2552452848","https://openalex.org/W2768683308","https://openalex.org/W2769666294","https://openalex.org/W2791693147","https://openalex.org/W2903416534","https://openalex.org/W2948343307","https://openalex.org/W2960035101","https://openalex.org/W2962778872","https://openalex.org/W2963155035","https://openalex.org/W2963732450","https://openalex.org/W2964211001","https://openalex.org/W2966154984","https://openalex.org/W2968722025","https://openalex.org/W2973857456","https://openalex.org/W3006223838","https://openalex.org/W3042877899","https://openalex.org/W3107167007","https://openalex.org/W3107290753","https://openalex.org/W3107825842","https://openalex.org/W3108094035","https://openalex.org/W3111487461","https://openalex.org/W3166036252","https://openalex.org/W3175926816","https://openalex.org/W3180794345","https://openalex.org/W3183057850","https://openalex.org/W3192415794","https://openalex.org/W4236667477"],"related_works":["https://openalex.org/W1557607869","https://openalex.org/W2366350639","https://openalex.org/W2087496541","https://openalex.org/W2028455732","https://openalex.org/W4313703117","https://openalex.org/W2085564391","https://openalex.org/W2108615321","https://openalex.org/W1984758362","https://openalex.org/W2042049060","https://openalex.org/W2992936613"],"abstract_inverted_index":{"Emerging":[0],"Metaverse":[1],"applications":[2],"demand":[3],"reliable,":[4],"accurate,":[5],"and":[6,37,83,98,108,127,135,147,158,167,172,202,208,218],"photorealistic":[7],"reproductions":[8],"of":[9,28,48,76,115,190],"human":[10,24],"hands":[11,179],"to":[12,72,155,169,180,198,205],"perform":[13],"sophisticated":[14],"operations":[15],"as":[16,118,124,229],"if":[17],"in":[18,233],"the":[19,29,46,49,64,86,111,164,188,234],"physical":[20],"world.":[21],"While":[22],"real":[23],"hand":[25,60,70,91,104,216],"represents":[26],"one":[27],"most":[30],"intricate":[31],"coordination":[32],"between":[33],"bones,":[34],"muscle,":[35],"tendon,":[36],"skin,":[38,191],"state-of-the-art":[39],"techniques":[40],"unanimously":[41],"focus":[42],"on":[43,85],"modeling":[44],"only":[45],"skeleton":[47],"hand.":[50],"In":[51],"this":[52],"paper,":[53],"we":[54,192],"present":[55],"NIMBLE,":[56],"a":[57,73,101,128,148,195,230],"novel":[58],"parametric":[59],"model":[61,71,187,206],"that":[62],"includes":[63],"missing":[65],"key":[66],"components,":[67],"bringing":[68],"3D":[69,178],"new":[74,181],"level":[75],"realism.":[77,185],"We":[78,151],"first":[79],"annotate":[80],"muscles,":[81],"bones":[82,117,166],"skins":[84],"recent":[87],"Magnetic":[88],"Resonance":[89],"Imaging":[90],"(MRI-Hand)":[92],"dataset":[93],"[Li":[94],"et":[95],"al.":[96],"2021]":[97],"then":[99],"register":[100],"volumetric":[102],"template":[103],"onto":[105],"individual":[106],"poses":[107,182],"subjects":[109],"within":[110],"dataset.":[112],"NIMBLE":[113,154,175,212],"consists":[114],"20":[116],"triangular":[119],"meshes,":[120,126],"7":[121],"muscle":[122],"groups":[123],"tetrahedral":[125],"skin":[129],"mesh.":[130],"Via":[131],"iterative":[132],"shape":[133,141,219],"registration":[134],"parameter":[136],"learning,":[137],"it":[138],"further":[139,193],"produces":[140],"blend":[142,145],"shapes,":[143,146],"pose":[144,217],"joint":[149],"regressor.":[150],"demonstrate":[152],"applying":[153],"modeling,":[156],"rendering,":[157],"visual":[159],"inference":[160,235],"tasks.":[161],"By":[162],"enforcing":[163],"inner":[165],"muscles":[168],"match":[170],"anatomic":[171],"kinematic":[173],"rules,":[174],"can":[176],"animate":[177],"at":[183],"unprecedented":[184],"To":[186],"appearance":[189],"construct":[194],"photometric":[196],"HandStage":[197],"acquire":[199],"high-quality":[200],"textures":[201],"normal":[203],"maps":[204],"wrinkles":[207],"palm":[209],"print.":[210],"Finally,":[211],"also":[213],"benefits":[214],"learning-based":[215],"estimation":[220],"by":[221],"either":[222],"synthesizing":[223],"rich":[224],"data":[225],"or":[226],"acting":[227],"directly":[228],"differentiable":[231],"layer":[232],"network.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2022-07-23T00:00:00"}