{"id":"https://openalex.org/W7162460585","doi":"https://doi.org/10.1109/tcss.2026.3692562","title":"GA-Avatar: Geometry-Aware Human Avatar Modeling Based on Gaussian Splatting From Monocular Videos","display_name":"GA-Avatar: Geometry-Aware Human Avatar Modeling Based on Gaussian Splatting From Monocular Videos","publication_year":2026,"publication_date":"2026-05-26","ids":{"openalex":"https://openalex.org/W7162460585","doi":"https://doi.org/10.1109/tcss.2026.3692562"},"language":null,"primary_location":{"id":"doi:10.1109/tcss.2026.3692562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2026.3692562","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137016970","display_name":"Lei Shi","orcid":"https://orcid.org/0009-0008-1095-1295"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Shi","raw_affiliation_strings":["Beijing Normal-Hong Kong Baptist University"],"raw_orcid":"https://orcid.org/0009-0008-1095-1295","affiliations":[{"raw_affiliation_string":"Beijing Normal-Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112905071","display_name":"Sen Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sen Peng","raw_affiliation_strings":["Beijing Normal-Hong Kong Baptist University"],"raw_orcid":"https://orcid.org/0009-0001-3886-2998","affiliations":[{"raw_affiliation_string":"Beijing Normal-Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069290428","display_name":"Zhiyang Deng","orcid":"https://orcid.org/0000-0002-1299-6314"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhiyang Deng","raw_affiliation_strings":["Beijing Normal-Hong Kong Baptist University"],"raw_orcid":"https://orcid.org/0009-0005-5105-1400","affiliations":[{"raw_affiliation_string":"Beijing Normal-Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407206","display_name":"Wenjing Zhang","orcid":"https://orcid.org/0000-0002-5011-1951"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjing Zhang","raw_affiliation_strings":["Zhejiang A&F University"],"raw_orcid":"https://orcid.org/0000-0001-8060-3845","affiliations":[{"raw_affiliation_string":"Zhejiang A&F University","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069394608","display_name":"Rong Jin","orcid":"https://orcid.org/0000-0002-8797-4646"},"institutions":[{"id":"https://openalex.org/I127339247","display_name":"California State University System","ror":"https://ror.org/020qm1538","country_code":"US","type":"education","lineage":["https://openalex.org/I127339247"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rong Jin","raw_affiliation_strings":["California State University"],"raw_orcid":"https://orcid.org/0000-0003-1789-236X","affiliations":[{"raw_affiliation_string":"California State University","institution_ids":["https://openalex.org/I127339247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012644714","display_name":"Xiao Dong","orcid":"https://orcid.org/0000-0003-4365-0575"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiao Dong","raw_affiliation_strings":["Beijing Normal-Hong Kong Baptist University"],"raw_orcid":"https://orcid.org/0000-0003-4365-0575","affiliations":[{"raw_affiliation_string":"Beijing Normal-Hong Kong Baptist University","institution_ids":["https://openalex.org/I141568987"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.51146262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"4","first_page":"4641","last_page":"4652"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.19519999623298645,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.19519999623298645,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.09459999948740005,"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/T11448","display_name":"Face recognition and analysis","score":0.08340000361204147,"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/avatar","display_name":"Avatar","score":0.45680001378059387},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.41260001063346863},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3402999937534332},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.3230000138282776},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.27639999985694885}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7985000014305115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7056999802589417},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6940000057220459},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.45680001378059387},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3650999963283539},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3402999937534332},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3230000138282776},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25209999084472656},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2026.3692562","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2026.3692562","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4766409397125244}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1573200530","https://openalex.org/W2062192902","https://openalex.org/W2133665775","https://openalex.org/W2810984579","https://openalex.org/W2921616849","https://openalex.org/W2962785568","https://openalex.org/W2963515833","https://openalex.org/W2978956737","https://openalex.org/W3015498676","https://openalex.org/W3035524985","https://openalex.org/W3035581100","https://openalex.org/W3119185462","https://openalex.org/W3153220274","https://openalex.org/W3157519194","https://openalex.org/W3176941685","https://openalex.org/W4200150166","https://openalex.org/W4200502498","https://openalex.org/W4206738554","https://openalex.org/W4232452729","https://openalex.org/W4250595268","https://openalex.org/W4250833804","https://openalex.org/W4281690735","https://openalex.org/W4283770636","https://openalex.org/W4286615883","https://openalex.org/W4310380667","https://openalex.org/W4312253380","https://openalex.org/W4312341890","https://openalex.org/W4312706422","https://openalex.org/W4312710790","https://openalex.org/W4312828520","https://openalex.org/W4312891300","https://openalex.org/W4312925709","https://openalex.org/W4321488206","https://openalex.org/W4385318467","https://openalex.org/W4385489997","https://openalex.org/W4386071693","https://openalex.org/W4386075716","https://openalex.org/W4386075747","https://openalex.org/W4386075804","https://openalex.org/W4386142025","https://openalex.org/W4390874617","https://openalex.org/W4392902795","https://openalex.org/W4400582194","https://openalex.org/W4402713112","https://openalex.org/W4402716022","https://openalex.org/W4402727211","https://openalex.org/W4402727627","https://openalex.org/W4402727655","https://openalex.org/W4402727930","https://openalex.org/W4402733569","https://openalex.org/W4402753521","https://openalex.org/W4402753800","https://openalex.org/W4402754089","https://openalex.org/W4402777641","https://openalex.org/W4404893028","https://openalex.org/W4410089250","https://openalex.org/W4410706186","https://openalex.org/W4410706523"],"related_works":[],"abstract_inverted_index":{"The":[0],"reconstruction":[1,70,198],"of":[2,116,141,182,210],"realistic":[3],"3-D":[4],"digital":[5],"humans":[6],"from":[7],"monocular":[8],"videos":[9],"plays":[10],"a":[11,68,91,121,205],"crucial":[12],"role":[13],"in":[14,26,51,57,94,149,185,215],"socially":[15],"intelligent":[16,216],"systems,":[17],"enabling":[18],"human\u2013machine":[19],"interaction,":[20],"behavioral":[21],"analysis,":[22],"and":[23,33,49,54,75,103,127,132,153,164,170,179,192,194,213],"immersive":[24],"communication":[25],"virtual":[27],"environments.":[28],"However,":[29],"achieving":[30],"geometrically":[31],"consistent":[32],"visually":[34],"faithful":[35],"avatars":[36],"under":[37],"limited":[38],"views":[39],"remains":[40],"challenging.":[41],"Existing":[42],"Gaussian-based":[43],"approaches":[44],"lack":[45],"effective":[46],"geometric":[47,81,106,165],"constraints":[48],"resulting":[50],"structural":[52],"drift":[53],"appearance":[55,76,154,180,212],"degradation":[56],"novel":[58],"poses.":[59,187],"To":[60,136],"address":[61],"the":[62,80,117,138,151,157,176,183],"above":[63],"problems,":[64],"we":[65,89,119,144,160],"propose":[66],"GA-Avatar,":[67],"dual-branch":[69,122],"network":[71,124],"via":[72],"decoupled":[73],"geometry":[74,126,152],"modeling,":[77],"which":[78,173],"improves":[79],"accuracy":[82],"as":[83,85],"well":[84],"rendering":[86],"quality.":[87],"First,":[88],"construct":[90],"high-resolution":[92],"mesh":[93,101],"canonical":[95,114],"space,":[96],"bind":[97],"Gaussian":[98,110],"primitives":[99],"to":[100],"vertices,":[102],"achieve":[104],"personalized":[105],"adjustments":[107],"by":[108],"optimizing":[109],"positions.":[111],"Based":[112],"on":[113,168,200],"features":[115],"Gaussians,":[118],"design":[120],"modeling":[123,139,209],"for":[125,207],"appearance,":[128],"learning":[129],"vertex":[130],"deformation":[131,147],"color":[133],"features,":[134],"respectively.":[135],"improve":[137],"capabilities":[140],"nonrigid":[142],"deformations,":[143],"introduce":[145],"pose-dependent":[146],"modules":[148],"both":[150],"branches.":[155],"In":[156],"optimization":[158,166],"stage,":[159],"proposed":[161],"photometric":[162],"loss":[163],"based":[167],"depth":[169],"normal":[171],"constraints,":[172],"effectively":[174],"enhanced":[175],"structure":[177],"preservation":[178],"consistency":[181],"model":[184],"different":[186],"We":[188],"conduct":[189],"rich":[190],"experiments":[191],"comparisons,":[193],"GA-Avatar":[195,203],"outperforms":[196],"existing":[197],"methods":[199],"multiple":[201],"datasets.":[202],"provides":[204],"foundation":[206],"computational":[208],"human":[211],"behavior":[214],"systems.":[217]},"counts_by_year":[],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2026-05-27T00:00:00"}