{"id":"https://openalex.org/W7155076981","doi":"https://doi.org/10.48550/arxiv.2604.17623","title":"ViPS: Video-informed Pose Spaces for Auto-Rigged Meshes","display_name":"ViPS: Video-informed Pose Spaces for Auto-Rigged Meshes","publication_year":2026,"publication_date":"2026-04-19","ids":{"openalex":"https://openalex.org/W7155076981","doi":"https://doi.org/10.48550/arxiv.2604.17623"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17623","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17623","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.17623","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134195912","display_name":"Honglin Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chen, Honglin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078005590","display_name":"Karran Pandey","orcid":"https://orcid.org/0000-0002-4144-1705"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pandey, Karran","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134125087","display_name":"Rundi Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Rundi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134099615","display_name":"Matheus Gadelha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gadelha, Matheus","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032768302","display_name":"Yannick Hold-Geoffroy","orcid":"https://orcid.org/0000-0002-1060-6941"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hold-Geoffroy, Yannick","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075797855","display_name":"Ayush Tewari","orcid":"https://orcid.org/0000-0002-3805-4421"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tewari, Ayush","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058170430","display_name":"Niloy J. Mitra","orcid":"https://orcid.org/0000-0002-2597-0914"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mitra, Niloy J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134156368","display_name":"Changxi Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Changxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134124832","display_name":"Paul Guerrero","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guerrero, Paul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5134195912"],"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.7454000115394592,"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":0.7454000115394592,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.08030000329017639,"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/T12290","display_name":"Human Motion and Animation","score":0.05420000106096268,"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/prior-probability","display_name":"Prior probability","score":0.7329999804496765},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.5781000256538391},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5576000213623047},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.48910000920295715},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4569999873638153},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4359999895095825},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42260000109672546},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4059000015258789},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.39480000734329224}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7329999804496765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6341000199317932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6136999726295471},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.5781000256538391},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5576000213623047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5146999955177307},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.48910000920295715},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4359999895095825},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42260000109672546},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4059000015258789},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.39480000734329224},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.34869998693466187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.3276999890804291},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.3082999885082245},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2863999903202057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2786000072956085},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.27140000462532043},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C2779668893","wikidata":"https://www.wikidata.org/wiki/Q2250422","display_name":"Constant curvature","level":3,"score":0.26460000872612},{"id":"https://openalex.org/C17816587","wikidata":"https://www.wikidata.org/wiki/Q1501872","display_name":"Inverse kinematics","level":3,"score":0.2621000111103058},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17623","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17623","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.17623","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17623","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":"article"},"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":{"Kinematic":[0],"rigs":[1],"provide":[2],"a":[3,28,33,65,84,114,141,226],"structured":[4,193],"interface":[5],"for":[6,27,76,153,159,166],"articulating":[7],"3D":[8,173,194],"meshes":[9,78],"but":[10],"lack":[11],"any":[12],"associated":[13],"pose":[14,34,146,174],"space,":[15,35],"i.e.,":[16],"an":[17],"explicit":[18],"representation":[19],"of":[20,24,41,73,104,210],"the":[21,70,118,127,171,186,208],"plausible":[22],"manifold":[23,157],"joint":[25],"configurations":[26],"given":[29,119],"mesh.":[30],"Without":[31],"such":[32,52],"stochastic":[36],"sampling":[37,152],"or":[38,99],"manual":[39,135],"manipulation":[40],"raw":[42],"rig":[43,120],"parameters":[44],"easily":[45],"results":[46],"in":[47,149,219],"semantic":[48,178],"and/or":[49],"geometric":[50,123],"violations,":[51],"as":[53,177,225],"anatomical":[54],"hyperextension":[55],"and":[56,144,162,168,192,222,237],"non-physical":[57],"self-intersections.":[58],"We":[59],"propose":[60],"Video-informed":[61],"Pose":[62],"Spaces":[63],"(ViPS),":[64],"feedforward":[66,138],"framework":[67],"that":[68,92,200],"discovers":[69],"latent":[71],"distribution":[72,116],"valid":[74],"articulations":[75],"auto-rigged":[77],"by":[79],"distilling":[80],"motion":[81],"priors":[82,112,191],"from":[83],"pretrained":[85],"video":[86,110,182,205],"diffusion":[87],"model.":[88],"Unlike":[89],"existing":[90],"methods":[91],"rely":[93],"on":[94,101,214],"scarce,":[95],"artist-authored":[96],"4D":[97,217],"datasets,":[98],"focus":[100],"reconstructing":[102],"instances":[103],"individual":[105],"motions,":[106],"ViPS":[107,229],"transfers":[108],"generative":[109,189],"model":[111,139],"into":[113],"universal":[115,227],"over":[117],"parameterization.":[121],"Differentiable":[122],"validators":[124],"applied":[125],"to":[126,180,234],"skinned":[128],"mesh":[129],"enforce":[130],"shape-specific":[131],"integrity":[132],"without":[133],"requiring":[134],"regularizers.":[136],"Our":[137,197],"reveals":[140],"smooth,":[142],"compact,":[143],"controllable":[145],"space.":[147],"This,":[148],"turn,":[150],"supports":[151],"diverse":[154],"shape":[155],"variations,":[156],"projection":[158],"inverse":[160],"kinematics,":[161],"temporally":[163],"coherent":[164],"trajectories":[165],"animation":[167],"keyframing.":[169],"Further,":[170],"distilled":[172],"samples":[175],"serve":[176],"proxies":[179],"guide":[181],"diffusion,":[183],"effectively":[184],"closing":[185],"loop":[187],"between":[188],"2D":[190],"kinematic":[195],"control.":[196],"evaluations":[198],"show":[199],"ViPS,":[201],"trained":[202,213],"solely":[203],"using":[204],"priors,":[206],"matches":[207],"performance":[209],"state-of-the-art":[211],"models":[212],"synthetic":[215],"artist-created":[216],"data":[218],"both":[220],"plausibility":[221],"diversity.":[223],"Additionally,":[224],"model,":[228],"exhibits":[230],"robust":[231],"zero-shot":[232],"generalization":[233],"out-of-distribution":[235],"species":[236],"unseen":[238],"skeletal":[239],"topologies.":[240]},"counts_by_year":[],"updated_date":"2026-05-23T06:10:36.450269","created_date":"2026-04-22T00:00:00"}