{"id":"https://openalex.org/W7155357787","doi":"https://doi.org/10.48550/arxiv.2604.20157","title":"HumanScore: Benchmarking Human Motions in Generated Videos","display_name":"HumanScore: Benchmarking Human Motions in Generated Videos","publication_year":2026,"publication_date":"2026-04-22","ids":{"openalex":"https://openalex.org/W7155357787","doi":"https://doi.org/10.48550/arxiv.2604.20157"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.20157","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20157","pdf_url":null,"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.20157","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120751838","display_name":"Yusu Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Yusu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134450529","display_name":"Tiange Xiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang, Tiange","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039523706","display_name":"Tian Tan","orcid":"https://orcid.org/0000-0003-4639-8301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Tian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134462799","display_name":"Narayan Schuetz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schuetz, Narayan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134419096","display_name":"Scott Delp","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Delp, Scott","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134388630","display_name":"Li Fei-Fei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei-Fei, Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134455559","display_name":"Ehsan Adeli","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adeli, Ehsan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.46160000562667847,"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":0.46160000562667847,"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":0.3833000063896179,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0333000011742115,"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/kinematics","display_name":"Kinematics","score":0.6597999930381775},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.6596999764442444},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5745000243186951},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5551000237464905},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.5407999753952026},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5085999965667725},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48559999465942383},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4456000030040741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.698199987411499},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.6597999930381775},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.6596999764442444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6589999794960022},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6018999814987183},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5745000243186951},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.5407999753952026},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5085999965667725},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48559999465942383},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4456000030040741},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4431999921798706},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3230000138282776},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.2632000148296356},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C543847140","wikidata":"https://www.wikidata.org/wiki/Q2642826","display_name":"Realism","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.20157","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20157","pdf_url":null,"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.20157","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20157","pdf_url":null,"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","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,13,52],"model":[3,125],"architectures,":[4],"compute,":[5],"and":[6,33,65,89,105,119,122,129],"data":[7],"scale":[8],"have":[9],"driven":[10],"rapid":[11],"progress":[12],"video":[14],"generation,":[15],"producing":[16],"increasingly":[17],"realistic":[18],"content.":[19],"Yet,":[20],"no":[21],"prior":[22],"method":[23],"systematically":[24],"measures":[25],"how":[26],"faithfully":[27],"these":[28],"systems":[29],"render":[30],"human":[31,50],"bodies":[32],"motion":[34,106,120],"dynamics.":[35],"In":[36],"this":[37],"paper,":[38],"we":[39,79],"present":[40],"HumanScore,":[41],"a":[42,81],"systematic":[43],"framework":[44],"to":[45],"evaluate":[46,90],"the":[47],"quality":[48],"of":[49,84],"motions":[51],"AI-generated":[53],"videos.":[54],"HumanScore":[55],"defines":[56],"six":[57],"interpretable":[58],"metrics":[59],"spanning":[60],"kinematic":[61],"plausibility,":[62],"temporal":[63,114],"stability,":[64],"biomechanical":[66,107],"consistency,":[67],"enabling":[68],"fine-grained":[69],"diagnosis":[70],"beyond":[71],"visual":[72],"realism":[73],"alone.":[74],"Through":[75],"carefully":[76],"designed":[77],"prompts,":[78],"elicit":[80],"diverse":[82],"set":[83],"movements":[85],"at":[86],"varying":[87],"intensities":[88],"videos":[91],"generated":[92],"by":[93],"thirteen":[94],"state-of-the-art":[95],"models.":[96],"Our":[97],"analysis":[98],"reveals":[99],"consistent":[100],"gaps":[101],"between":[102],"perceptual":[103],"plausibility":[104],"fidelity,":[108],"identifies":[109],"recurrent":[110],"failure":[111],"modes":[112],"(e.g.,":[113],"jitter,":[115],"anatomically":[116],"implausible":[117],"poses,":[118],"drift),":[121],"produces":[123],"robust":[124],"rankings":[126],"from":[127],"quantitative":[128],"physically":[130],"meaningful":[131],"criteria.":[132]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-24T00:00:00"}
