{"id":"https://openalex.org/W7161275243","doi":"https://doi.org/10.48550/arxiv.2605.14269","title":"PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation","display_name":"PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation","publication_year":2026,"publication_date":"2026-05-14","ids":{"openalex":"https://openalex.org/W7161275243","doi":"https://doi.org/10.48550/arxiv.2605.14269"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.14269","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14269","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":null,"license_id":null,"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.2605.14269","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136266381","display_name":"Yidong Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Yidong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136202580","display_name":"Zun Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136270012","display_name":"Han Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Han","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136238114","display_name":"Dong-Ki Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Dong-Ki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052169592","display_name":"Shayegan Omidshafiei","orcid":"https://orcid.org/0000-0001-7758-1454"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Omidshafiei, Shayegan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136213716","display_name":"Jaehong Yoon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoon, Jaehong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136247863","display_name":"Jaemin Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cho, Jaemin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136215300","display_name":"Yue Zhang","orcid":"https://orcid.org/0009-0008-3255-6587"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136257263","display_name":"Mohit Bansal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bansal, Mohit","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":0.44290000200271606,"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":0.44290000200271606,"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":0.20499999821186066,"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":0.08829999715089798,"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/motion","display_name":"Motion (physics)","score":0.7423999905586243},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5819000005722046},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41769999265670776},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4115999937057495},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.4059000015258789},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.39649999141693115},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.39559999108314514},{"id":"https://openalex.org/keywords/human-motion","display_name":"Human motion","score":0.390500009059906},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.3887999951839447}],"concepts":[{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.7423999905586243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6690000295639038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.623199999332428},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6150000095367432},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5819000005722046},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4115999937057495},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.4059000015258789},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.39649999141693115},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.39559999108314514},{"id":"https://openalex.org/C2986578859","wikidata":"https://www.wikidata.org/wiki/Q657632","display_name":"Human motion","level":3,"score":0.390500009059906},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.3887999951839447},{"id":"https://openalex.org/C60692881","wikidata":"https://www.wikidata.org/wiki/Q584529","display_name":"Humanoid robot","level":3,"score":0.36959999799728394},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C103910844","wikidata":"https://www.wikidata.org/wiki/Q2631256","display_name":"Video quality","level":3,"score":0.3456000089645386},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.32429999113082886},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.29820001125335693},{"id":"https://openalex.org/C48575856","wikidata":"https://www.wikidata.org/wiki/Q852504","display_name":"Motion perception","level":3,"score":0.29589998722076416},{"id":"https://openalex.org/C20864712","wikidata":"https://www.wikidata.org/wiki/Q667800","display_name":"Biological motion","level":3,"score":0.29010000824928284},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2799000144004822},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C2777036941","wikidata":"https://www.wikidata.org/wiki/Q6917771","display_name":"Motion analysis","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.25529998540878296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.14269","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14269","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.14269","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.14269","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.43171849846839905,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Generating":[0],"realistic":[1],"human":[2,29,64,95,185,228],"motion":[3,30,41,89,103,134,161,171,213],"is":[4],"a":[5,34,86,98,123,150,157],"central":[6],"yet":[7],"unsolved":[8],"challenge":[9],"in":[10,22,97,125],"video":[11,24,44,220,248],"generation.":[12],"While":[13],"reinforcement":[14],"learning":[15],"(RL)-based":[16],"post-training":[17],"has":[18],"driven":[19],"recent":[20],"gains":[21,192],"general":[23],"quality,":[25,162],"extending":[26],"it":[27],"to":[28,71,156,166,195,202],"remains":[31],"bottlenecked":[32],"by":[33],"reward":[35,90,165,189,245],"signal":[36,154],"that":[37,91,179,235],"cannot":[38],"reliably":[39],"score":[40],"realism.":[42],"Existing":[43],"rewards":[45],"primarily":[46],"rely":[47],"on":[48],"2D":[49],"perceptual":[50],"signals,":[51,242],"without":[52],"explicitly":[53],"modeling":[54],"the":[55,126,132,164,236,244],"3D":[56,94],"body":[57,115],"state,":[58],"contact,":[59],"and":[60,66,101,130,141,144,152,204,218,226],"dynamics":[61],"underlying":[62],"articulated":[63],"motion,":[65],"often":[67],"assign":[68],"high":[69],"scores":[70],"videos":[72],"with":[73,184,251],"floating":[74],"bodies":[75],"or":[76,175],"physically":[77,173],"implausible":[78],"movements.":[79],"To":[80],"address":[81],"this,":[82],"we":[83,112],"propose":[84],"PhyMotion,":[85],"structured,":[87],"fine-grained":[88],"grounds":[92],"recovered":[93],"trajectories":[96],"physics":[99,128],"simulator":[100],"evaluates":[102],"quality":[104,250],"along":[105,135],"multiple":[106],"dimensions":[107],"of":[108,160,170],"physical":[109],"feasibility.":[110,146],"Concretely,":[111],"recover":[113],"SMPL":[114],"meshes":[116],"from":[117],"generated":[118],"videos,":[119],"retarget":[120],"them":[121],"onto":[122],"humanoid":[124],"MuJoCo":[127],"simulator,":[129],"evaluate":[131],"resulting":[133],"three":[136,237],"axes:":[137],"kinematic":[138],"plausibility,":[139],"contact":[140],"balance":[142],"consistency,":[143],"dynamic":[145],"Each":[147],"component":[148],"provides":[149],"continuous":[151],"interpretable":[153],"tied":[155],"specific":[158],"aspect":[159],"allowing":[163],"capture":[167],"which":[168],"aspects":[169],"are":[172],"correct":[174],"violated.":[176],"Experiments":[177],"show":[178,234],"PhyMotion":[180,200],"achieves":[181],"stronger":[182],"correlation":[183],"judgments":[186],"than":[187,208],"existing":[188,210],"formulations.":[190],"These":[191],"carry":[193],"over":[194],"RL-based":[196],"post-training,":[197],"where":[198],"optimizing":[199,209],"leads":[201],"larger":[203],"more":[205],"consistent":[206],"improvements":[207],"rewards,":[211],"improving":[212],"realism":[214],"across":[215],"both":[216,223],"autoregressive":[217],"bidirectional":[219],"generators":[221],"under":[222],"automatic":[224],"metrics":[225],"blind":[227],"evaluation":[229],"(+68":[230],"Elo":[231],"gain).":[232],"Ablations":[233],"axes":[238],"provide":[239],"complementary":[240],"supervision":[241],"while":[243],"preserves":[246],"overall":[247],"generation":[249],"only":[252],"modest":[253],"training":[254],"overhead.":[255]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-16T00:00:00"}