{"id":"https://openalex.org/W7133312476","doi":"https://doi.org/10.48550/arxiv.2603.00144","title":"Disentangled Hierarchical VAE for 3D Human-Human Interaction Generation","display_name":"Disentangled Hierarchical VAE for 3D Human-Human Interaction Generation","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7133312476","doi":"https://doi.org/10.48550/arxiv.2603.00144"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00144","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00144","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.2603.00144","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102677599","display_name":"Zichen Geng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Geng, Zichen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034636278","display_name":"Zeeshan Hayder","orcid":"https://orcid.org/0009-0009-7421-0311"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hayder, Zeeshan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127873145","display_name":"Bo Miao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miao, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127953283","display_name":"Jian Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127931525","display_name":"Wei Chao Liu","orcid":"https://orcid.org/0009-0003-6802-2740"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127916783","display_name":"Ajmal Mian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mian, Ajmal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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":0.6592000126838684,"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":0.6592000126838684,"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":0.09220000356435776,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.06279999762773514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6934000253677368},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5468999743461609},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.48010000586509705},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4503999948501587},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3930000066757202},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.3889000117778778},{"id":"https://openalex.org/keywords/interaction-model","display_name":"Interaction model","score":0.3799000084400177},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.3467000126838684}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6934000253677368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517999768257141},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5468999743461609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5360000133514404},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.48010000586509705},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4503999948501587},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3930000066757202},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C2780806968","wikidata":"https://www.wikidata.org/wiki/Q6045196","display_name":"Interaction model","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3521000146865845},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.25929999351501465},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00144","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00144","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.2603.00144","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00144","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":[{"display_name":"Reduced inequalities","score":0.7864223122596741,"id":"https://metadata.un.org/sdg/10"}],"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],"3D":[2],"Human-Human":[3],"Interaction":[4],"(HHI)":[5],"requires":[6],"coherent":[7],"modeling":[8],"of":[9,13],"the":[10,14,76,134],"physical":[11,156],"plausibility":[12,157],"agents":[15],"and":[16,38,47,69,80,97,116,155],"their":[17,32],"interaction":[18,78,120,124],"semantics.":[19],"Existing":[20],"methods":[21],"compress":[22],"all":[23],"motion":[24,82,151],"information":[25],"into":[26,84],"a":[27,85,91,113,128,140],"single":[28],"latent":[29,65,87,119,136],"representation,":[30],"limiting":[31],"ability":[33],"to":[34,44,111],"capture":[35],"fine-grained":[36],"actions":[37],"inter-agent":[39],"interactions.":[40],"This":[41],"often":[42],"leads":[43],"semantic":[45],"misalignment":[46],"physically":[48,98,117],"implausible":[49,96],"artifacts,":[50],"such":[51],"as":[52],"penetration":[53],"or":[54],"missed":[55],"contact.":[56],"We":[57],"propose":[58],"Disentangled":[59],"Hierarchical":[60],"Variational":[61],"Autoencoder":[62],"(DHVAE)":[63],"based":[64],"diffusion":[66,130],"for":[67],"structured":[68],"controllable":[70],"HHI":[71],"generation.":[72],"DHVAE":[73,110,126,148],"explicitly":[74],"disentangles":[75],"global":[77],"context":[79],"individual":[81],"patterns":[83],"decoupled":[86],"structure":[88],"by":[89,139],"employing":[90],"CoTransformer":[92],"module.":[93],"To":[94],"mitigate":[95],"inconsistent":[99],"contacts":[100],"in":[101,133],"HHI,":[102],"we":[103],"incorporate":[104],"contrastive":[105],"learning":[106],"constraints":[107],"with":[108,158],"our":[109],"promote":[112],"more":[114],"discriminative":[115],"plausible":[118],"space.":[121],"For":[122],"high-fidelity":[123],"synthesis,":[125],"employs":[127],"DDIM-based":[129],"denoising":[131],"process":[132],"hierarchical":[135],"space,":[137],"enhanced":[138],"skip-connected":[141],"AdaLN-Transformer":[142],"denoiser.":[143],"Extensive":[144],"evaluations":[145],"show":[146],"that":[147],"achieves":[149],"superior":[150],"fidelity,":[152],"text":[153],"alignment,":[154],"greater":[159],"computational":[160],"efficiency.":[161]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-04T00:00:00"}
