{"id":"https://openalex.org/W4285412397","doi":"https://doi.org/10.1109/tcsvt.2022.3190875","title":"Poxture: Human Posture Imitation Using Neural Texture","display_name":"Poxture: Human Posture Imitation Using Neural Texture","publication_year":2022,"publication_date":"2022-07-14","ids":{"openalex":"https://openalex.org/W4285412397","doi":"https://doi.org/10.1109/tcsvt.2022.3190875"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3190875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3190875","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/A5100350500","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0003-4496-7849"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Yang","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4496-7849","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000577985","display_name":"Shunyu Yao","orcid":"https://orcid.org/0000-0002-1683-286X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun-Yu Yao","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019065884","display_name":"Zan-Wei Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zan-Wei Zhou","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2222-4016","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021280842","display_name":"Bin Ji","orcid":"https://orcid.org/0000-0002-8981-5251"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Ji","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8981-5251","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064168853","display_name":"Guangtao Zhai","orcid":"https://orcid.org/0000-0001-8165-9322"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang-Tao Zhai","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8165-9322","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048353325","display_name":"Wei Shen","orcid":"https://orcid.org/0000-0002-1235-598X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shen","raw_affiliation_strings":["MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1235-598X","affiliations":[{"raw_affiliation_string":"MoE Key Laboratory of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.6601,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.8057711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"32","issue":"12","first_page":"8537","last_page":"8549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9966999888420105,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9966999888420105,"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/T12290","display_name":"Human Motion and Animation","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.672188401222229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6460315585136414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6313308477401733},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5721905827522278},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.44448399543762207},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4288032650947571},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42323315143585205},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.35421666502952576},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1985676884651184}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.672188401222229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460315585136414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6313308477401733},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5721905827522278},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.44448399543762207},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4288032650947571},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42323315143585205},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.35421666502952576},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1985676884651184}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3190875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3190875","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/G1393589877","display_name":null,"funder_award_id":"21ZR1432200","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G81657677","display_name":null,"funder_award_id":"62176159","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1943191679","https://openalex.org/W1967554269","https://openalex.org/W2117539524","https://openalex.org/W2149321585","https://openalex.org/W2331128040","https://openalex.org/W2339943466","https://openalex.org/W2483862638","https://openalex.org/W2502928967","https://openalex.org/W2573098616","https://openalex.org/W2604375920","https://openalex.org/W2612706635","https://openalex.org/W2750606766","https://openalex.org/W2771558241","https://openalex.org/W2797515701","https://openalex.org/W2798411580","https://openalex.org/W2798478762","https://openalex.org/W2798637590","https://openalex.org/W2798714868","https://openalex.org/W2890816492","https://openalex.org/W2891959861","https://openalex.org/W2942074357","https://openalex.org/W2946584893","https://openalex.org/W2956061722","https://openalex.org/W2962754033","https://openalex.org/W2962765321","https://openalex.org/W2962819541","https://openalex.org/W2962982136","https://openalex.org/W2963073614","https://openalex.org/W2963466847","https://openalex.org/W2963590054","https://openalex.org/W2963688992","https://openalex.org/W2963734522","https://openalex.org/W2964002510","https://openalex.org/W2964016027","https://openalex.org/W2978956737","https://openalex.org/W2981514602","https://openalex.org/W2981637078","https://openalex.org/W2982413914","https://openalex.org/W2982480216","https://openalex.org/W2984529706","https://openalex.org/W2988021769","https://openalex.org/W2990974996","https://openalex.org/W2996290406","https://openalex.org/W3008823916","https://openalex.org/W3032180949","https://openalex.org/W3034757648","https://openalex.org/W3034950620","https://openalex.org/W3035291735","https://openalex.org/W3035551320","https://openalex.org/W3040767154","https://openalex.org/W3044769528","https://openalex.org/W3063678635","https://openalex.org/W3094376231","https://openalex.org/W3097792222","https://openalex.org/W3101022589","https://openalex.org/W3106811106","https://openalex.org/W3108325989","https://openalex.org/W3110095664","https://openalex.org/W3110981055","https://openalex.org/W3126541466","https://openalex.org/W3130957736","https://openalex.org/W3135551199","https://openalex.org/W3154906787","https://openalex.org/W3158914867","https://openalex.org/W3174541392","https://openalex.org/W3176412779","https://openalex.org/W3176762345","https://openalex.org/W3202804820","https://openalex.org/W3214985077","https://openalex.org/W4236667477","https://openalex.org/W4288090857","https://openalex.org/W4288325606","https://openalex.org/W4289363224","https://openalex.org/W6637373629","https://openalex.org/W6702130928","https://openalex.org/W6738824914","https://openalex.org/W6743229011","https://openalex.org/W6754560582","https://openalex.org/W6764322716","https://openalex.org/W6767264202","https://openalex.org/W6768910476","https://openalex.org/W6781964600","https://openalex.org/W6786364577","https://openalex.org/W6786946047"],"related_works":["https://openalex.org/W4360784979","https://openalex.org/W2204605857","https://openalex.org/W2044270176","https://openalex.org/W1996489018","https://openalex.org/W2007664797","https://openalex.org/W2120981610","https://openalex.org/W3129669851","https://openalex.org/W2374828682","https://openalex.org/W2151022383","https://openalex.org/W2360759360"],"abstract_inverted_index":{"Human":[0],"pose":[1,132],"imitation,":[2],"which":[3,161],"aims":[4],"to":[5,40,72,107,124,133,175],"generate":[6,134],"an":[7],"image":[8,137],"with":[9,69,129,171,195,215],"a":[10,19,63,82,86,103,130,139],"source":[11,15,87,114,121,126,155,207],"character\u2019s":[12,16,21,156],"appearance,":[13,157],"the":[14,74,109,113,120,125,135,154,176,202,206],"shape,":[17,158],"and":[18,50,93,95,148,159,183,186,198],"target":[20,131],"posture,":[22],"has":[23],"many":[24],"potential":[25],"applications":[26],"in":[27,47,54],"virtual":[28],"reality,":[29,31],"augmented":[30],"games,":[32],"movies,":[33],"etc.":[34],"It":[35,166,190],"is":[36,209],"incredibly":[37],"challenging":[38,223],"due":[39],"non-rigid":[41],"human":[42,52,65,89],"body":[43,90,199],"motions,":[44],"significant":[45],"variations":[46],"clothing":[48],"textures,":[49,173],"self-occluded":[51],"bodies":[53],"2D":[55],"images.":[56],"In":[57],"this":[58,236],"paper,":[59],"we":[60,80,101,118],"propose":[61],"Poxture,":[62],"novel":[64],"posture":[66],"imitation":[67],"method":[68,214,233],"neural":[70,104,122,178],"texture,":[71],"address":[73],"challenges":[75],"mentioned":[76],"above.":[77],"Concretely,":[78],"first,":[79],"build":[81],"dense":[83],"mapping":[84],"between":[85],"SMPL":[88],"model":[91,128],"(shape":[92],"posture)":[94],"its":[96],"corresponding":[97],"texture":[98,105,111,123,204],"(appearance).":[99],"Then,":[100],"apply":[102],"generator":[106],"recover":[108],"complete":[110,203],"of":[112,205],"character.":[115],"At":[116],"last,":[117],"wrap":[119],"SMLP":[127],"desired":[136],"by":[138],"GAN":[140],"model.":[141],"Poxture":[142],"does":[143],"not":[144],"require":[145],"any":[146,230],"annotations,":[147],"our":[149,213,232],"framework":[150],"can":[151,167,191,234],"fully":[152],"disentangle":[153],"pose,":[160],"enjoys":[162],"several":[163],"advantages:":[164],"1)":[165],"synthesize":[168],"high-resolution":[169],"images":[170],"detailed":[172],"thanks":[174],"learned":[177],"textures":[179],"containing":[180],"both":[181],"visible":[182],"invisible":[184],"parts":[185],"high-frequency":[187],"information;":[188],"2)":[189],"imitate":[192],"complex":[193],"actions":[194],"various":[196],"appearances":[197],"figures":[200],"since":[201],"character":[208],"acquired.":[210],"We":[211],"compare":[212],"previous":[216],"methods,":[217],"showing":[218],"state-of-the-art":[219],"results":[220],"on":[221],"two":[222],"benchmarks.":[224],"Extensive":[225],"experiments":[226],"demonstrate":[227],"that,":[228],"given":[229],"character,":[231],"manipulate":[235],"avatar":[237],"imitating":[238],"arbitrary":[239],"posture.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}