{"id":"https://openalex.org/W7138694649","doi":"https://doi.org/10.48550/arxiv.2603.15415","title":"AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation","display_name":"AnyCrowd: Instance-Isolated Identity-Pose Binding for Arbitrary Multi-Character Animation","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138694649","doi":"https://doi.org/10.48550/arxiv.2603.15415"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15415","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15415","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.2603.15415","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101603569","display_name":"Zhenyu Xie","orcid":"https://orcid.org/0000-0001-5588-8201"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xie, Zhenyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078330551","display_name":"Ji Xia","orcid":"https://orcid.org/0009-0000-1418-8065"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Ji","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023225712","display_name":"Michael Kampffmeyer","orcid":"https://orcid.org/0000-0002-7699-0405"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kampffmeyer, Michael","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043898209","display_name":"Panwen Hu","orcid":"https://orcid.org/0000-0001-6183-6598"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Panwen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036060690","display_name":"Zehua Ma","orcid":"https://orcid.org/0000-0002-8153-341X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Zehua","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129721479","display_name":"Yujian Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Yujian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129692306","display_name":"Jing H Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101047421","display_name":"Zheng Chong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chong, Zheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102885567","display_name":"Xujie Zhang","orcid":"https://orcid.org/0000-0002-8293-7539"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xujie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065800739","display_name":"Xianhang Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Xianhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129704903","display_name":"Xiaodan Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang, Xiaodan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129730639","display_name":"Hao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Hao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5101603569"],"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7444000244140625,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7444000244140625,"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/T12290","display_name":"Human Motion and Animation","score":0.16030000150203705,"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":0.024900000542402267,"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/security-token","display_name":"Security token","score":0.6988000273704529},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.6118999719619751},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5220000147819519},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5023000240325928},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45419999957084656},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4512999951839447},{"id":"https://openalex.org/keywords/character-animation","display_name":"Character animation","score":0.3970000147819519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7250999808311462},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6988000273704529},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.6118999719619751},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5220000147819519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517300009727478},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5023000240325928},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45419999957084656},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4512999951839447},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40290001034736633},{"id":"https://openalex.org/C90697248","wikidata":"https://www.wikidata.org/wiki/Q1062896","display_name":"Character animation","level":4,"score":0.3970000147819519},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30709999799728394},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.29019999504089355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.288100004196167},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.27140000462532043}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15415","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15415","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.2603.15415","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15415","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":[{"score":0.5762474536895752,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Controllable":[0],"character":[1,98],"animation":[2,11],"has":[3],"advanced":[4],"rapidly":[5],"in":[6,31,61,149],"recent":[7],"years,":[8],"yet":[9],"multi-character":[10,20],"remains":[12],"underexplored.":[13],"As":[14],"the":[15],"number":[16,84],"of":[17,79,85],"characters":[18],"grows,":[19],"reference":[21,45],"encoding":[22],"becomes":[23,51],"more":[24],"susceptible":[25],"to":[26,56,81,102,105,122,125,145,162],"latent":[27,107],"identity":[28,32,108],"entanglement,":[29],"resulting":[30],"bleeding":[33],"and":[34,40,47,59,139],"reduced":[35],"controllability.":[36],"Moreover,":[37],"learning":[38],"precise":[39],"spatio-temporally":[41],"consistent":[42],"correspondences":[43],"between":[44],"identities":[46,124],"driving":[48,126],"pose":[49],"sequences":[50],"increasingly":[52],"challenging,":[53],"often":[54],"leading":[55],"identity-pose":[57],"mis-binding":[58],"inconsistency":[60],"generated":[62],"videos.":[63],"To":[64],"address":[65],"these":[66],"challenges,":[67],"we":[68,88,115],"propose":[69,117],"AnyCrowd,":[70],"a":[71],"Diffusion":[72],"Transformer":[73],"(DiT)-based":[74],"video":[75],"generation":[76],"framework":[77],"capable":[78],"scaling":[80],"an":[82,91,152],"arbitrary":[83],"characters.":[86],"Specifically,":[87],"first":[89],"introduce":[90],"Instance-Isolated":[92],"Latent":[93],"Representation":[94],"(IILR),":[95],"which":[96],"encodes":[97],"instances":[99],"independently":[100],"prior":[101],"DiT":[103],"processing":[104],"prevent":[106],"entanglement.":[109],"Building":[110],"on":[111],"this":[112],"disentangled":[113],"representation,":[114],"further":[116],"Tri-Stage":[118],"Decoupled":[119],"Attention":[120],"(TSDA)":[121],"bind":[123],"poses":[127],"by":[128],"decomposing":[129],"self-attention":[130],"into:":[131],"(i)":[132],"instance-aware":[133],"foreground":[134],"attention,":[135],"(ii)":[136],"background-centric":[137],"interaction,":[138],"(iii)":[140],"global":[141],"foreground-background":[142],"coordination.":[143],"Furthermore,":[144],"mitigate":[146],"token":[147,169],"ambiguity":[148],"overlapping":[150],"regions,":[151],"Adaptive":[153],"Gated":[154],"Fusion":[155],"(AGF)":[156],"module":[157],"is":[158],"integrated":[159],"within":[160],"TSDA":[161],"predict":[163],"identity-aware":[164],"weights,":[165],"effectively":[166],"fusing":[167],"competing":[168],"groups":[170],"into":[171],"identity-consistent":[172],"representations...":[173]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}