{"id":"https://openalex.org/W4292263294","doi":"https://doi.org/10.1109/tcsvt.2022.3199201","title":"A Progressive Quadric Graph Convolutional Network for 3D Human Mesh Recovery","display_name":"A Progressive Quadric Graph Convolutional Network for 3D Human Mesh Recovery","publication_year":2022,"publication_date":"2022-08-17","ids":{"openalex":"https://openalex.org/W4292263294","doi":"https://doi.org/10.1109/tcsvt.2022.3199201"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3199201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3199201","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5100435738","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0001-5990-896X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Wang","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5990-896X","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040953541","display_name":"Xunyu Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunyu Liu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073898438","display_name":"Xiaoliang Ma","orcid":"https://orcid.org/0000-0002-8047-3224"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoliang Ma","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8047-3224","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020429493","display_name":"Jiaji Wu","orcid":"https://orcid.org/0000-0003-3769-0271"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaji Wu","raw_affiliation_strings":["School of Electronic Engineering, Xidian University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0003-3769-0271","affiliations":[{"raw_affiliation_string":"School of Electronic Engineering, Xidian University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705358","display_name":"Jun Cheng","orcid":"https://orcid.org/0000-0002-3131-3275"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Cheng","raw_affiliation_strings":["CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3131-3275","affiliations":[{"raw_affiliation_string":"CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081318069","display_name":"MengChu Zhou","orcid":"https://orcid.org/0000-0002-5408-8752"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengchu Zhou","raw_affiliation_strings":["Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-5408-8752","affiliations":[{"raw_affiliation_string":"Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.111,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95330761,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"33","issue":"1","first_page":"104","last_page":"117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9973000288009644,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.7108259201049805},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.701972484588623},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.5820282697677612},{"id":"https://openalex.org/keywords/t-vertices","display_name":"T-vertices","score":0.5436751842498779},{"id":"https://openalex.org/keywords/morphing","display_name":"Morphing","score":0.5100091695785522},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5039219260215759},{"id":"https://openalex.org/keywords/quadric","display_name":"Quadric","score":0.49220409989356995},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48783138394355774},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4379521608352661},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.435646653175354},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.4245867133140564},{"id":"https://openalex.org/keywords/mesh-generation","display_name":"Mesh generation","score":0.3628655672073364},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3621191382408142},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.28216856718063354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22476783394813538},{"id":"https://openalex.org/keywords/finite-element-method","display_name":"Finite element method","score":0.1752391755580902},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1645239293575287},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.10899224877357483}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7108259201049805},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.701972484588623},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5820282697677612},{"id":"https://openalex.org/C160403270","wikidata":"https://www.wikidata.org/wiki/Q7667943","display_name":"T-vertices","level":4,"score":0.5436751842498779},{"id":"https://openalex.org/C50637493","wikidata":"https://www.wikidata.org/wiki/Q1136781","display_name":"Morphing","level":2,"score":0.5100091695785522},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5039219260215759},{"id":"https://openalex.org/C2779219049","wikidata":"https://www.wikidata.org/wiki/Q852117","display_name":"Quadric","level":2,"score":0.49220409989356995},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48783138394355774},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4379521608352661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.435646653175354},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.4245867133140564},{"id":"https://openalex.org/C181145010","wikidata":"https://www.wikidata.org/wiki/Q4418033","display_name":"Mesh generation","level":3,"score":0.3628655672073364},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3621191382408142},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28216856718063354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22476783394813538},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.1752391755580902},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1645239293575287},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.10899224877357483},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3199201","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3199201","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1297234468","display_name":null,"funder_award_id":"2021A1515012637","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G1881838752","display_name":null,"funder_award_id":"2014DP173025","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"},{"id":"https://openalex.org/G4201149454","display_name":null,"funder_award_id":"[2017] 476","funder_id":"https://openalex.org/F4320327719","funder_display_name":"3D Digital Media Technology Engineering Laboratory"},{"id":"https://openalex.org/G4209066795","display_name":null,"funder_award_id":"61976143","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5258257467","display_name":null,"funder_award_id":"U21A20487","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7816789517","display_name":null,"funder_award_id":"201502","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320327719","display_name":"3D Digital Media Technology Engineering Laboratory","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W1861492603","https://openalex.org/W1967554269","https://openalex.org/W2101032778","https://openalex.org/W2122633688","https://openalex.org/W2135957668","https://openalex.org/W2235901111","https://openalex.org/W2483862638","https://openalex.org/W2501306710","https://openalex.org/W2554247908","https://openalex.org/W2573854917","https://openalex.org/W2797184202","https://openalex.org/W2797515701","https://openalex.org/W2798637590","https://openalex.org/W2883221003","https://openalex.org/W2888934629","https://openalex.org/W2890335171","https://openalex.org/W2895748257","https://openalex.org/W2916798096","https://openalex.org/W2924767204","https://openalex.org/W2947821749","https://openalex.org/W2962711434","https://openalex.org/W2962754033","https://openalex.org/W2963598138","https://openalex.org/W2963907666","https://openalex.org/W2963995996","https://openalex.org/W2965523038","https://openalex.org/W2971856312","https://openalex.org/W2975420824","https://openalex.org/W2978956737","https://openalex.org/W2981637078","https://openalex.org/W2981978060","https://openalex.org/W2984349976","https://openalex.org/W2990270790","https://openalex.org/W2991332406","https://openalex.org/W2991621301","https://openalex.org/W2994220412","https://openalex.org/W3004162361","https://openalex.org/W3035186639","https://openalex.org/W3035492592","https://openalex.org/W3035501466","https://openalex.org/W3035551320","https://openalex.org/W3044683644","https://openalex.org/W3048830973","https://openalex.org/W3105115875","https://openalex.org/W3107167007","https://openalex.org/W3107197814","https://openalex.org/W3107558729","https://openalex.org/W3109877674","https://openalex.org/W3110095664","https://openalex.org/W3154906787","https://openalex.org/W3160149053","https://openalex.org/W3175199633","https://openalex.org/W3175419759","https://openalex.org/W3183467214","https://openalex.org/W3189475686","https://openalex.org/W3201170756","https://openalex.org/W3204956438","https://openalex.org/W3213412677","https://openalex.org/W3213620776","https://openalex.org/W4214493076","https://openalex.org/W4214619583","https://openalex.org/W4214684804","https://openalex.org/W4214770715","https://openalex.org/W4226424937","https://openalex.org/W4281665577","https://openalex.org/W4312874524","https://openalex.org/W6720006811","https://openalex.org/W6726873649","https://openalex.org/W6739901393","https://openalex.org/W6760001035","https://openalex.org/W6760613820","https://openalex.org/W6784476946","https://openalex.org/W6840577584"],"related_works":["https://openalex.org/W221371290","https://openalex.org/W3143630723","https://openalex.org/W2134516207","https://openalex.org/W2392065820","https://openalex.org/W2115829746","https://openalex.org/W156011255","https://openalex.org/W2014307140","https://openalex.org/W2012734129","https://openalex.org/W4246986090","https://openalex.org/W127251908"],"abstract_inverted_index":{"Human":[0],"mesh":[1,45,56,81,105,132,139],"recovery":[2,106,197],"from":[3,16,47,107],"one":[4],"single":[5,109],"image":[6,18,110],"has":[7,185],"achieved":[8],"rapid":[9],"progress":[10],"recently,":[11],"but":[12],"many":[13],"methods":[14,42],"suffer":[15],"the":[17,22,51,55,112,138,172,196,211],"appearance":[19],"overfitting":[20],"since":[21],"training":[23],"data":[24],"are":[25,65],"collected":[26],"along":[27],"with":[28,137],"accurate":[29],"3D":[30,103],"annotations":[31],"in":[32,111],"controlled":[33],"settings":[34],"of":[35,146],"monotonous":[36],"backgrounds":[37],"or":[38],"simple":[39,98],"clothes.":[40],"Some":[41],"regress":[43],"human":[44,80,104,121],"vertices":[46],"poses":[48],"to":[49,73,79,120,135,148],"tackle":[50],"above":[52],"problem.":[53],"However":[54],"topologies":[57],"have":[58,177],"not":[59],"been":[60,179,186],"well":[61],"exploited,":[62],"and":[63,95,99,123,181,192],"artifacts":[64],"often":[66],"generated.":[67],"In":[68],"this":[69,84],"paper,":[70],"we":[71,86,115],"aim":[72],"find":[74],"an":[75,202],"efficient":[76],"low-cost":[77],"solution":[78],"reconstruction.":[82],"To":[83],"end,":[85],"propose":[87],"a":[88,97,108,125,144,162,207],"Progressive":[89],"Quadric":[90],"Graph":[91],"Convolutional":[92],"Network":[93],"(PQ-GCN),":[94],"design":[96,124],"fast":[100],"method":[101,157],"for":[102],"wild.":[113],"Specifically,":[114],"apply":[116],"quadric-based":[117],"surface":[118],"simplification":[119],"meshes":[122],"progressive":[126],"graph":[127],"convolution":[128],"network,":[129],"accompanied":[130],"by":[131,205],"feature":[133],"up-sampling,":[134],"deal":[136],"topologies.":[140],"We":[141],"carry":[142],"out":[143],"series":[145],"studies":[147],"validate":[149],"our":[150,156],"method.":[151],"The":[152],"results":[153],"prove":[154],"that":[155],"achieves":[158],"superior":[159],"performance":[160],"on":[161],"challenging":[163],"in-the-wild":[164],"dataset,":[165],"while":[166],"using":[167],"66%":[168],"fewer":[169],"parameters":[170],"than":[171],"existing":[173],"method,":[174],"Pose2Mesh.":[175],"Artifacts":[176],"also":[178],"eliminated":[180],"better":[182],"visual":[183],"quality":[184],"obtained":[187],"without":[188],"any":[189],"further":[190],"post-processing":[191],"model":[193],"fitting.":[194],"Besides,":[195],"can":[198,214],"be":[199,215],"stopped":[200],"at":[201],"earlier":[203],"stage":[204],"adding":[206],"decoder":[208],"head.":[209],"Consequently,":[210],"computational":[212],"complexity":[213],"reduced":[216],"greatly.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":7}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
