{"id":"https://openalex.org/W4416410077","doi":"https://doi.org/10.1109/iccv51701.2025.00994","title":"PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups","display_name":"PINO: Person-Interaction Noise Optimization for Long-Duration and Customizable Motion Generation of Arbitrary-Sized Groups","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4416410077","doi":"https://doi.org/10.1109/iccv51701.2025.00994"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2507.19292","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Sakuya Ota","orcid":null},"institutions":[{"id":"https://openalex.org/I4400009020","display_name":"Institute of Science Tokyo","ror":"https://ror.org/05dqf9946","country_code":null,"type":"education","lineage":["https://openalex.org/I4400009020"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Sakuya Ota","raw_affiliation_strings":["Institute of Science Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science Tokyo","institution_ids":["https://openalex.org/I4400009020"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qing Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qing Yu","raw_affiliation_strings":["LY Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LY Corporation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055111991","display_name":"Kent Fujiwara","orcid":"https://orcid.org/0000-0002-2205-6115"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kent Fujiwara","raw_affiliation_strings":["LY Corporation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LY Corporation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069356829","display_name":"Satoshi Ikehata","orcid":"https://orcid.org/0000-0002-6061-7956"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Ikehata","raw_affiliation_strings":["National Institute of Informatics (NII)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Informatics (NII)","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001716423","display_name":"Ikuro Sato","orcid":null},"institutions":[{"id":"https://openalex.org/I4400009020","display_name":"Institute of Science Tokyo","ror":"https://ror.org/05dqf9946","country_code":null,"type":"education","lineage":["https://openalex.org/I4400009020"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Ikuro Sato","raw_affiliation_strings":["Institute of Science Tokyo"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Science Tokyo","institution_ids":["https://openalex.org/I4400009020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47839445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.7491000294685364,"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":0.7491000294685364,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.08129999786615372,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.02810000069439411,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.728600025177002},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5437999963760376},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5435000061988831},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.49950000643730164},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4341999888420105},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4034000039100647},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.38359999656677246}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.728600025177002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787999868392944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5665000081062317},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5437999963760376},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5435000061988831},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.49950000643730164},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4341999888420105},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4034000039100647},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.36160001158714294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3244999945163727},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3174000084400177},{"id":"https://openalex.org/C145565327","wikidata":"https://www.wikidata.org/wiki/Q852514","display_name":"Motion control","level":3,"score":0.3068000078201294},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.30329999327659607},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.29840001463890076},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C2780909371","wikidata":"https://www.wikidata.org/wiki/Q4801092","display_name":"Artificial noise","level":4,"score":0.27480000257492065},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.25999999046325684}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00994","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00994","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2507.19292","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.19292","pdf_url":"https://arxiv.org/pdf/2507.19292","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2507.19292","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.19292","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"pmh:oai:arXiv.org:2507.19292","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.19292","pdf_url":"https://arxiv.org/pdf/2507.19292","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"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":{"Generating":[0],"realistic":[1,62],"group":[2,14,74,91],"interactions":[3,65,75,144],"involving":[4],"multiple":[5],"characters":[6],"remains":[7],"challenging":[8],"due":[9],"to":[10,42,88],"increasing":[11],"complexity":[12],"as":[13,102],"size":[15],"expands.":[16],"While":[17],"existing":[18],"conditional":[19],"diffusion":[20,86],"models":[21,87],"incrementally":[22,89],"generate":[23],"motions":[24],"by":[25],"conditioning":[26],"on":[27,33],"previously":[28],"generated":[29],"characters,":[30,107],"they":[31],"rely":[32],"single":[34],"shared":[35],"prompts,":[36],"limiting":[37],"nuanced":[38],"control":[39,120],"and":[40,63,81,97,125,141,150],"leading":[41],"overly":[43],"simplified":[44],"interactions.":[45,92],"In":[46],"this":[47],"paper,":[48],"we":[49],"introduce":[50],"Person-Interaction":[51],"Noise":[52],"Optimization":[53],"(PINO),":[54],"a":[55],"novel,":[56],"training-free":[57],"framework":[58],"designed":[59],"for":[60,146],"generating":[61],"customizable":[64],"among":[66],"groups":[67],"of":[68],"arbitrary":[69],"size.":[70],"PINO":[71,108,135],"decomposes":[72],"complex":[73],"into":[76],"semantically":[77],"relevant":[78],"pairwise":[79],"interactions,":[80],"leverages":[82],"pretrained":[83],"two-person":[84],"interaction":[85],"compose":[90],"To":[93],"ensure":[94],"physical":[95],"plausibility":[96],"avoid":[98],"common":[99],"artifacts":[100],"such":[101],"overlapping":[103],"or":[104],"penetration":[105],"between":[106],"employs":[109],"physics-based":[110],"penalties":[111],"during":[112],"noise":[113],"optimization.":[114],"This":[115],"approach":[116],"allows":[117],"precise":[118],"user":[119],"over":[121],"character":[122],"orientation,":[123],"speed,":[124],"spatial":[126],"relationships":[127],"without":[128],"additional":[129],"training.":[130],"Comprehensive":[131],"evaluations":[132],"demonstrate":[133],"that":[134],"generates":[136],"visually":[137],"realistic,":[138],"physically":[139],"coherent,":[140],"adaptable":[142],"multi-person":[143],"suitable":[145],"diverse":[147],"animation,":[148],"gaming,":[149],"robotics":[151],"applications.":[152]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
