{"id":"https://openalex.org/W7160216471","doi":"https://doi.org/10.48550/arxiv.2605.00517","title":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","display_name":"PhysiGen: Integrating Collision-Aware Physical Constraints for High-Fidelity Human-Human Interaction Generation","publication_year":2026,"publication_date":"2026-05-01","ids":{"openalex":"https://openalex.org/W7160216471","doi":"https://doi.org/10.48550/arxiv.2605.00517"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.00517","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00517","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.00517","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134204346","display_name":"Nan Lei","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lei, Nan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135265455","display_name":"Yuan-Ming Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yuan-Ming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079634733","display_name":"Ling-An Zeng","orcid":"https://orcid.org/0000-0002-8125-8024"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Ling-An","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135119428","display_name":"Liang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123097975","display_name":"Zhi-Wei Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Zhi-Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009577442","display_name":"Huiwen Huang","orcid":"https://orcid.org/0009-0000-2856-3508"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Hui-Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074327829","display_name":"Fa-Ting Hong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hong, Fa-Ting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135132676","display_name":"Wei-Shi Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Wei-Shi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5134204346"],"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":0.5838000178337097,"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":0.5838000178337097,"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":0.0957999974489212,"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":0.07819999754428864,"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/collision","display_name":"Collision","score":0.5375999808311462},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.46549999713897705},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44519999623298645},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4189999997615814},{"id":"https://openalex.org/keywords/human-interaction","display_name":"Human interaction","score":0.4122999906539917},{"id":"https://openalex.org/keywords/geometric-primitive","display_name":"Geometric primitive","score":0.35359999537467957},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3476000130176544},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.33410000801086426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713699996471405},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.5375999808311462},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.46549999713897705},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44519999623298645},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C2987082051","wikidata":"https://www.wikidata.org/wiki/Q223642","display_name":"Human interaction","level":2,"score":0.4122999906539917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4120999872684479},{"id":"https://openalex.org/C181095308","wikidata":"https://www.wikidata.org/wiki/Q1541599","display_name":"Geometric primitive","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3476000130176544},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33820000290870667},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.33410000801086426},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3199999928474426},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C199668693","wikidata":"https://www.wikidata.org/wiki/Q1550329","display_name":"Collision detection","level":3,"score":0.3061999976634979},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C2985684807","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Text generation","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.00517","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00517","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.00517","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.00517","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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Despite":[0],"substantial":[1],"progress":[2],"in":[3],"text-driven":[4],"3D":[5],"human":[6,85,123],"motion":[7],"synthesis,":[8],"generating":[9],"realistic":[10],"multi-person":[11],"interaction":[12,78,124],"sequences":[13],"remains":[14],"challenging.":[15],"Notably,":[16],"body":[17,86],"inter-penetration":[18],"is":[19,114],"a":[20,61],"pervasive":[21],"issue":[22,44],"from":[23],"both":[24],"data":[25],"acquisition":[26],"to":[27,52,70,91,149],"the":[28,34,83,94,103,107,110,150],"generated":[29],"results,":[30],"which":[31],"significantly":[32,141],"undermines":[33],"realism":[35],"and":[36,63,116,129,140,145],"usability.":[37],"Previous":[38],"generative":[39],"models":[40],"either":[41],"ignored":[42],"this":[43,57],"or":[45],"introduced":[46],"computationally":[47,64],"expensive":[48],"mesh-level":[49],"loss":[50],"functions":[51],"alleviate":[53],"inter-body":[54],"collisions.":[55],"In":[56],"paper,":[58],"we":[59,81,101],"propose":[60],"general-purpose":[62],"efficient":[65],"optimization":[66,111],"strategy":[67],"named":[68],"PhysiGen":[69,113],"explicitly":[71],"integrate":[72],"collision-aware":[73],"physical":[74,146],"constraints":[75],"for":[76],"human-human":[77],"generation.":[79],"Specifically,":[80],"simplify":[82],"high-resolution":[84],"mesh":[87],"into":[88,121],"geometric":[89],"primitives":[90],"greatly":[92],"reduce":[93,138],"cost":[95],"of":[96,109],"inter-person":[97],"collision":[98,104],"detection.":[99],"Moreover,":[100],"identify":[102],"regions":[105],"as":[106],"guidance":[108],"directions.":[112],"plug-and-play":[115],"can":[117,136],"be":[118],"readily":[119],"integrated":[120],"existing":[122],"generation":[125],"models.":[126],"Extensive":[127],"cross-dataset":[128],"cross-model":[130],"experiments":[131],"show":[132],"that":[133],"our":[134],"method":[135],"effectively":[137],"interpenetration":[139],"improve":[142],"visual":[143],"coherence":[144],"plausibility":[147],"compared":[148],"state-of-the-art":[151],"methods.":[152]},"counts_by_year":[],"updated_date":"2026-05-05T06:12:25.323381","created_date":"2026-05-05T00:00:00"}