{"id":"https://openalex.org/W4404526144","doi":"https://doi.org/10.1145/3687932","title":"CPoser: An Optimization-after-Parsing Approach for Text-to-Pose Generation Using Large Language Models","display_name":"CPoser: An Optimization-after-Parsing Approach for Text-to-Pose Generation Using Large Language Models","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404526144","doi":"https://doi.org/10.1145/3687932"},"language":"en","primary_location":{"id":"doi:10.1145/3687932","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687932","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687932","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":null,"license_id":null,"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":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3687932","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063811746","display_name":"Yumeng Li","orcid":"https://orcid.org/0009-0007-6558-4165"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumeng Li","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-6558-4165","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047779067","display_name":"Bohong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bohong Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-1036-7737","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102871117","display_name":"Zhong Ren","orcid":"https://orcid.org/0000-0002-6798-3035"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Ren","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6798-3035","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045601793","display_name":"Yao-Xiang Ding","orcid":"https://orcid.org/0000-0001-8580-1103"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao-Xiang Ding","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8580-1103","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038988704","display_name":"Libin Liu","orcid":"https://orcid.org/0000-0003-2280-6817"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libin Liu","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2280-6817","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060286507","display_name":"Tianjia Shao","orcid":"https://orcid.org/0000-0001-5485-3752"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjia Shao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5485-3752","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027671723","display_name":"Kun Zhou","orcid":"https://orcid.org/0000-0003-4243-6112"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhou","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4243-6112","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78861066,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"43","issue":"6","first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9987999796867371,"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":0.9987999796867371,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9955000281333923,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/parsing","display_name":"Parsing","score":0.7914060950279236},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.789415717124939},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6510214805603027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6250671744346619},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.45917773246765137},{"id":"https://openalex.org/keywords/bottom-up-parsing","display_name":"Bottom-up parsing","score":0.4354616403579712},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3492504954338074},{"id":"https://openalex.org/keywords/top-down-parsing","display_name":"Top-down parsing","score":0.34488677978515625}],"concepts":[{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7914060950279236},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.789415717124939},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6510214805603027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6250671744346619},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.45917773246765137},{"id":"https://openalex.org/C60690694","wikidata":"https://www.wikidata.org/wiki/Q894902","display_name":"Bottom-up parsing","level":4,"score":0.4354616403579712},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3492504954338074},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.34488677978515625}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3687932","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687932","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687932","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3687932","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3687932","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3687932","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G2619705720","display_name":null,"funder_award_id":"62322209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3405827317","display_name":null,"funder_award_id":"62421003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5399541287","display_name":null,"funder_award_id":"62206245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404526144.pdf","grobid_xml":"https://content.openalex.org/works/W4404526144.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W2094694112","https://openalex.org/W2163131540","https://openalex.org/W2964076328","https://openalex.org/W3023742835","https://openalex.org/W3048550213","https://openalex.org/W3107825842","https://openalex.org/W3124346429","https://openalex.org/W3153832461","https://openalex.org/W3181695292","https://openalex.org/W4241307704","https://openalex.org/W4286611314","https://openalex.org/W4288079574","https://openalex.org/W4306177961","https://openalex.org/W4312920950","https://openalex.org/W4313047500","https://openalex.org/W4385284180","https://openalex.org/W4386065848","https://openalex.org/W4386076374","https://openalex.org/W4390872595","https://openalex.org/W4390874409","https://openalex.org/W4402716444"],"related_works":["https://openalex.org/W3143982968","https://openalex.org/W3088470625","https://openalex.org/W2952780262","https://openalex.org/W3035970863","https://openalex.org/W2619584063","https://openalex.org/W2804916787","https://openalex.org/W2389755172","https://openalex.org/W2142145894","https://openalex.org/W4320024782","https://openalex.org/W2555549919"],"abstract_inverted_index":{"Text-to-pose":[0],"generation":[1,22],"is":[2,23],"challenging":[3],"due":[4,25],"to":[5,26,54,75,99,171],"the":[6,60,77,153],"complexity":[7],"of":[8,79,111],"natural":[9],"language":[10,17,42],"and":[11,33,44,89,126,148,174],"human":[12],"posture":[13],"semantics.":[14],"Utilizing":[15],"large":[16],"models":[18],"(LLMs)":[19],"for":[20,40,48,59,81,145,188],"text-to-pose":[21,82,193],"appealing":[24],"their":[27],"strong":[28],"capabilities":[29],"in":[30,160],"text":[31,101,186],"understanding":[32],"reasoning.":[34],"However,":[35],"as":[36,123],"LLMs":[37,64,80,98],"are":[38,168],"designed":[39],"general-purpose":[41],"processing":[43],"not":[45],"specifically":[46],"trained":[47],"pose":[49,91,104,120,138,163,189],"generation,":[50,83,190],"it":[51],"remains":[52],"nontrivial":[53],"generate":[55],"precise":[56],"articulation":[57],"targets":[58],"full":[61],"body":[62],"using":[63],"directly.":[65],"To":[66],"this":[67],"end,":[68],"we":[69],"propose":[70],"CPoser,":[71],"a":[72,85,90,109,136,161],"novel":[73],"approach":[74,182],"harness":[76],"power":[78],"featuring":[84],"prompt":[86],"parsing":[87,95],"stage":[88,96,143],"optimization":[92,142,159],"stage.":[93],"The":[94,141,166],"utilizes":[97],"turn":[100],"prompts":[102,187],"into":[103],"intermediate":[105],"representations":[106],"(Pose-IRs)":[107],"through":[108],"set":[110],"predefined":[112],"structured":[113],"queries.":[114],"These":[115],"Pose-IRs":[116],"explicitly":[117],"describe":[118],"specific":[119],"conditions,":[121],"such":[122],"squatting":[124],"depth":[125],"knee":[127],"bending":[128],"angle,":[129],"naturally":[130],"forming":[131],"an":[132],"objective":[133,155],"function":[134,156],"that":[135,180],"target":[137],"should":[139],"satisfy.":[140],"solves":[144],"expressive":[146],"poses":[147],"hand":[149],"gestures":[150],"based":[151],"on":[152],"Pose-IR":[154],"via":[157],"robust":[158],"quantized":[162],"prior":[164],"space.":[165],"results":[167],"further":[169],"refined":[170],"enhance":[172],"naturalness":[173],"incorporate":[175],"facial":[176],"expressions.":[177],"Experiments":[178],"show":[179],"our":[181],"effectively":[183],"understands":[184],"diverse":[185],"surpassing":[191],"existing":[192],"methods.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}