{"id":"https://openalex.org/W4415247823","doi":"https://doi.org/10.1109/iccv51701.2025.01318","title":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","display_name":"GUAVA: Generalizable Upper Body 3D Gaussian Avatar","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4415247823","doi":"https://doi.org/10.1109/iccv51701.2025.01318"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.01318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.03351","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101563959","display_name":"Dongbin Zhang","orcid":"https://orcid.org/0000-0002-5699-5217"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongbin Zhang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704151","display_name":"Yunfei Liu","orcid":"https://orcid.org/0000-0003-0725-7258"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunfei Liu","raw_affiliation_strings":["International Digital Economy Academy (IDEA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Digital Economy Academy (IDEA)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100311648","display_name":"Lijian Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lijian Lin","raw_affiliation_strings":["International Digital Economy Academy (IDEA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Digital Economy Academy (IDEA)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018399570","display_name":"Ye Zhu","orcid":"https://orcid.org/0000-0002-5217-493X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye Zhu","raw_affiliation_strings":["International Digital Economy Academy (IDEA)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Digital Economy Academy (IDEA)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460352","display_name":"Li Yang","orcid":"https://orcid.org/0000-0003-4791-1349"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Li","raw_affiliation_strings":["International Digital Economy Academy (IDEA)","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Digital Economy Academy (IDEA)","institution_ids":[]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108889598","display_name":"Minghan Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghan Qin","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112623798","display_name":"Yu\u2010Chuan Li","orcid":"https://orcid.org/0000-0001-6497-4232"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Li","raw_affiliation_strings":["International Digital Economy Academy (IDEA)","Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Digital Economy Academy (IDEA)","institution_ids":[]},{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028229824","display_name":"Haoqian Wang","orcid":"https://orcid.org/0000-0003-2792-8469"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoqian Wang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14205","last_page":"14217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9291999936103821,"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":0.9291999936103821,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9229999780654907,"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/T10114","display_name":"Balance, Gait, and Falls Prevention","score":0.9079999923706055,"subfield":{"id":"https://openalex.org/subfields/3612","display_name":"Physical Therapy, Sports Therapy and Rehabilitation"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.7218999862670898},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5884000062942505},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5572999715805054},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.48899999260902405},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.48429998755455017},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4787999987602234},{"id":"https://openalex.org/keywords/computer-facial-animation","display_name":"Computer facial animation","score":0.46810001134872437},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.4641000032424927},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4075999855995178},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.39719998836517334}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7601000070571899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526999711990356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7354999780654907},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.7218999862670898},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5884000062942505},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5572999715805054},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.48899999260902405},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4787999987602234},{"id":"https://openalex.org/C138591656","wikidata":"https://www.wikidata.org/wiki/Q5157538","display_name":"Computer facial animation","level":4,"score":0.46810001134872437},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4075999855995178},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C98907195","wikidata":"https://www.wikidata.org/wiki/Q5428562","display_name":"Facial motion capture","level":5,"score":0.35339999198913574},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.34769999980926514},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.3472999930381775},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.32019999623298645},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.3003999888896942},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.2922999858856201},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.28290000557899475},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2824000120162964},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.27230000495910645},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2678999900817871},{"id":"https://openalex.org/C2781089380","wikidata":"https://www.wikidata.org/wiki/Q5936753","display_name":"Human-body model","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.25519999861717224},{"id":"https://openalex.org/C193293595","wikidata":"https://www.wikidata.org/wiki/Q23852","display_name":"Human body","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C116108083","wikidata":"https://www.wikidata.org/wiki/Q1940131","display_name":"Ray casting","level":4,"score":0.2515999972820282},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.01318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2505.03351","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.03351","pdf_url":"https://arxiv.org/pdf/2505.03351","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.03351","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.03351","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.03351","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.03351","pdf_url":"https://arxiv.org/pdf/2505.03351","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":[],"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":[],"awards":[{"id":"https://openalex.org/G7636710225","display_name":null,"funder_award_id":"2022YFB36066","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"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/W4415247823.pdf","grobid_xml":"https://content.openalex.org/works/W4415247823.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reconstructing":[0],"a":[1,14,122,131],"high-quality,":[2],"animatable":[3,101],"3D":[4,27,103],"human":[5,28,74],"avatar":[6,29,105],"with":[7,62,151],"expressive":[8,73],"facial":[9,63,79],"and":[10,37,46,82,112,146,159,163],"hand":[11],"motions":[12],"from":[13,121],"single":[15,123],"image":[16],"has":[17],"gained":[18],"significant":[19,148],"attention":[20],"due":[21],"to":[22,77,116],"its":[23],"broad":[24],"application":[25],"potential.":[26],"reconstruction":[30,152],"typically":[31],"requires":[32],"multi-view":[33],"or":[34],"monocular":[35],"videos":[36],"training":[38],"on":[39,57,89],"individual":[40],"IDs,":[41],"which":[42],"is":[43],"both":[44],"complex":[45],"time-consuming.":[47],"Furthermore,":[48],"limited":[49],"by":[50],"SMPLX's":[51],"expressiveness,":[52],"these":[53,67],"methods":[54,142],"often":[55],"focus":[56],"body":[58],"motion":[59],"but":[60],"struggle":[61],"expressions.":[64],"To":[65],"address":[66],"challenges,":[68],"we":[69,93],"first":[70,97],"introduce":[71],"an":[72,84],"model":[75],"(EHM)":[76],"enhance":[78],"expression":[80],"capabilities":[81],"develop":[83],"accurate":[85],"tracking":[86],"method.":[87],"Based":[88],"this":[90],"template":[91],"model,":[92],"propose":[94],"GUAVA,":[95],"the":[96,155],"framework":[98],"for":[99],"fast":[100],"upper-body":[102],"Gaussian":[104],"reconstruction.":[106],"We":[107],"leverage":[108],"inverse":[109],"texture":[110],"mapping":[111],"projection":[113],"sampling":[114],"techniques":[115],"infer":[117],"Ubody":[118],"(upper-body)":[119],"Gaussians":[120],"image.":[124],"The":[125],"rendered":[126],"images":[127],"are":[128],"refined":[129],"through":[130],"neural":[132],"refiner.":[133],"Experimental":[134],"results":[135],"demonstrate":[136],"that":[137],"GUAVA":[138],"significantly":[139],"outperforms":[140],"previous":[141],"in":[143,154],"rendering":[144],"quality":[145],"offers":[147],"speed":[149],"improvements,":[150],"times":[153],"sub-second":[156],"range":[157],"(0.1s),":[158],"supports":[160],"real-time":[161],"animation":[162],"rendering.":[164]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-16T00:00:00"}