{"id":"https://openalex.org/W4403624672","doi":"https://doi.org/10.1145/3680528.3687565","title":"World-Grounded Human Motion Recovery via Gravity-View Coordinates","display_name":"World-Grounded Human Motion Recovery via Gravity-View Coordinates","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4403624672","doi":"https://doi.org/10.1145/3680528.3687565"},"language":"en","primary_location":{"id":"doi:10.1145/3680528.3687565","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680528.3687565","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680528.3687565","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2024 Conference Papers","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3680528.3687565","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014481904","display_name":"Zehong Shen","orcid":"https://orcid.org/0000-0002-7232-793X"},"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":true,"raw_author_name":"Zehong Shen","raw_affiliation_strings":["State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7232-793X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051739016","display_name":"Huaijin Pi","orcid":"https://orcid.org/0000-0001-7076-1321"},"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":"Huaijin Pi","raw_affiliation_strings":["State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7076-1321","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yan Xia","orcid":"https://orcid.org/0009-0003-4927-2189"},"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":"Yan Xia","raw_affiliation_strings":["State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-4927-2189","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109716303","display_name":"Zhi Cen","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":"Zhi Cen","raw_affiliation_strings":["State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0009-0836-1533","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073087748","display_name":"Sida Peng","orcid":"https://orcid.org/0000-0001-6546-4525"},"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":"Sida Peng","raw_affiliation_strings":["State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6546-4525","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102660410","display_name":"Zechen Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726936","display_name":"Deepglint (China)","ror":"https://ror.org/0348v8v06","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726936"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechen Hu","raw_affiliation_strings":["Deep Glint, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-5350-0313","affiliations":[{"raw_affiliation_string":"Deep Glint, Beijing, China","institution_ids":["https://openalex.org/I4401726936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059021869","display_name":"Hujun Bao","orcid":"https://orcid.org/0000-0002-2662-0334"},"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":"Hujun Bao","raw_affiliation_strings":["State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2662-0334","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013892799","display_name":"Ruizhen Hu","orcid":"https://orcid.org/0000-0002-6798-0336"},"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":"Ruizhen Hu","raw_affiliation_strings":["Shenzhen University (SZU), Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6798-0336","affiliations":[{"raw_affiliation_string":"Shenzhen University (SZU), Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101814482","display_name":"Xiaowei Zhou","orcid":"https://orcid.org/0000-0003-1926-5597"},"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":"Xiaowei Zhou","raw_affiliation_strings":["State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1926-5597","affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5014481904"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":4.0473,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95115967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"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":0.9998000264167786,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9993000030517578,"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7120941877365112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6907724142074585},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6899330615997314},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5742632746696472},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5448505878448486},{"id":"https://openalex.org/keywords/coordinate-system","display_name":"Coordinate system","score":0.5410131216049194},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5204627513885498},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5149120092391968},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.4715937376022339},{"id":"https://openalex.org/keywords/motion-field","display_name":"Motion field","score":0.4312494397163391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19382867217063904}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7120941877365112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6907724142074585},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899330615997314},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5742632746696472},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5448505878448486},{"id":"https://openalex.org/C80551277","wikidata":"https://www.wikidata.org/wiki/Q11210","display_name":"Coordinate system","level":2,"score":0.5410131216049194},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5204627513885498},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5149120092391968},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4715937376022339},{"id":"https://openalex.org/C124774092","wikidata":"https://www.wikidata.org/wiki/Q6917782","display_name":"Motion field","level":3,"score":0.4312494397163391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19382867217063904},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3680528.3687565","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680528.3687565","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680528.3687565","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2024 Conference Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2409.06662","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.06662","pdf_url":"https://arxiv.org/pdf/2409.06662","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":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3680528.3687565","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3680528.3687565","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3680528.3687565","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2024 Conference Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403624672.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1999165127","https://openalex.org/W2101032778","https://openalex.org/W2483862638","https://openalex.org/W2558333741","https://openalex.org/W2612690371","https://openalex.org/W2895748257","https://openalex.org/W2963995996","https://openalex.org/W2971856312","https://openalex.org/W2975420824","https://openalex.org/W2978956737","https://openalex.org/W2981637078","https://openalex.org/W2986708244","https://openalex.org/W2990270790","https://openalex.org/W3035551320","https://openalex.org/W3083132452","https://openalex.org/W3167491448","https://openalex.org/W3174980830","https://openalex.org/W3180730526","https://openalex.org/W3196703792","https://openalex.org/W4200493783","https://openalex.org/W4212774754","https://openalex.org/W4214586188","https://openalex.org/W4214679856","https://openalex.org/W4214770715","https://openalex.org/W4221142859","https://openalex.org/W4312261745","https://openalex.org/W4312518484","https://openalex.org/W4312635677","https://openalex.org/W4312915483","https://openalex.org/W4312979714","https://openalex.org/W4367622621","https://openalex.org/W4385489997","https://openalex.org/W4386071471","https://openalex.org/W4386075709","https://openalex.org/W4386076106","https://openalex.org/W4386076574","https://openalex.org/W4386076655","https://openalex.org/W4388979610","https://openalex.org/W4390873286","https://openalex.org/W4390873292","https://openalex.org/W4390874306","https://openalex.org/W4399563538","https://openalex.org/W4402715826","https://openalex.org/W4403890006","https://openalex.org/W4405786155"],"related_works":["https://openalex.org/W1501297619","https://openalex.org/W2053820737","https://openalex.org/W2120943489","https://openalex.org/W1484667368","https://openalex.org/W1988727984","https://openalex.org/W2130582613","https://openalex.org/W2020088946","https://openalex.org/W2010111660","https://openalex.org/W2026674073","https://openalex.org/W2157486817"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,58,114],"novel":[3,59],"method":[4,136],"for":[5,86],"recovering":[6],"world-grounded":[7,147],"human":[8,55],"motion":[9,40,116,140],"from":[10],"monocular":[11],"video.":[12],"The":[13,76,98,157],"main":[14],"challenge":[15],"lies":[16],"in":[17,41,57,125,141,152],"the":[18,22,68,72,92,106,119,126,143],"ambiguity":[19,93],"of":[20,94],"defining":[21],"world":[23,69,107],"coordinate":[24,62,108],"system,":[25,63],"which":[26,64],"varies":[27],"between":[28],"sequences.":[29],"Previous":[30],"approaches":[31],"attempt":[32],"to":[33,48,105],"alleviate":[34],"this":[35],"issue":[36],"by":[37,67],"predicting":[38],"relative":[39],"an":[42],"autoregressive":[43,127],"manner,":[44],"but":[45],"are":[46],"prone":[47],"accumulating":[49],"errors.":[50],"Instead,":[51],"we":[52],"propose":[53],"estimating":[54],"poses":[56,100],"Gravity-View":[60],"(GV)":[61],"is":[65,80,159],"defined":[66,85],"gravity":[70],"and":[71,83,146,155],"camera":[73,111,144],"view":[74],"direction.":[75],"proposed":[77],"GV":[78],"system":[79,109],"naturally":[81],"gravity-aligned":[82],"uniquely":[84],"each":[87],"video":[88],"frame,":[89],"largely":[90],"reducing":[91],"learning":[95],"image-pose":[96],"mapping.":[97],"estimated":[99],"can":[101],"be":[102],"transformed":[103],"back":[104],"using":[110],"rotations,":[112],"forming":[113],"global":[115],"sequence.":[117],"Additionally,":[118],"per-frame":[120],"estimation":[121],"avoids":[122],"error":[123],"accumulation":[124],"methods.":[128],"Experiments":[129],"on":[130],"in-the-wild":[131],"benchmarks":[132],"demonstrate":[133],"that":[134],"our":[135],"recovers":[137],"more":[138],"realistic":[139],"both":[142,153],"space":[145],"settings,":[148],"outperforming":[149],"state-of-the-art":[150],"methods":[151],"accuracy":[154],"speed.":[156],"code":[158],"available":[160],"at":[161],"https://zju3dv.github.io/gvhmr/.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}