{"id":"https://openalex.org/W7162287471","doi":"https://doi.org/10.48550/arxiv.2605.23610","title":"EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation","display_name":"EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video Generation","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162287471","doi":"https://doi.org/10.48550/arxiv.2605.23610"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23610","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23610","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.23610","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114438993","display_name":"Jente Vandersanden","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vandersanden, Jente","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123544727","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/A5024812954","display_name":"Chun-hao P. Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Chun-Hao P.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075122736","display_name":"Hyeonho Jeong","orcid":"https://orcid.org/0000-0002-6864-4190"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeong, Hyeonho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000106199","display_name":"Yulia Gryaditskaya","orcid":"https://orcid.org/0000-0002-1951-6475"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gryaditskaya, Yulia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5738000273704529,"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":0.5738000273704529,"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/T11439","display_name":"Video Analysis and Summarization","score":0.14569999277591705,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.08449999988079071,"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":0.661300003528595},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5472999811172485},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4740999937057495},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.3573000133037567},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.3172000050544739},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.31189998984336853},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.30399999022483826},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.2992999851703644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8338000178337097},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.661300003528595},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5472999811172485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5066999793052673},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4740999937057495},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.3573000133037567},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.2992999851703644},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29820001125335693},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.29440000653266907},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2879999876022339},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27889999747276306},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.25929999351501465},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23610","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23610","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.23610","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23610","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":"Preprint"},"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":{"Multi-shot":[0],"video":[1],"generation":[2],"requires":[3],"maintaining":[4],"a":[5,87,95,102,113],"consistent":[6],"appearance":[7,119],"of":[8,57,61,123],"recurring":[9],"entities":[10],"across":[11],"shots":[12],"while":[13,133],"remaining":[14],"faithful":[15],"to":[16,41,75,100],"shot-specific":[17],"text":[18],"prompts.":[19],"Recent":[20],"autoregressive":[21],"methods":[22],"reuse":[23],"previously":[24],"generated":[25],"frames":[26],"as":[27],"memory.":[28,105],"However,":[29],"full-frame":[30],"storage":[31],"entangles":[32],"persistent":[33],"entity":[34,110],"information":[35,43],"with":[36,70,112],"transient":[37],"scene":[38],"context,":[39],"leading":[40],"irrelevant":[42,124],"leakage":[44,122],"and":[45,78,131],"high":[46],"computational":[47,80],"cost.":[48,81],"We":[49,64,92],"propose":[50,94],"an":[51,58],"entity-centric":[52],"memory":[53,97],"in":[54],"the":[55,109],"form":[56],"entity-indexed":[59],"bank":[60],"latent":[62],"patches.":[63],"introduce":[65,86],"sparse":[66],"token":[67],"conditioning":[68],"compatible":[69],"pretrained":[71],"models,":[72],"restricting":[73],"self-attention":[74],"entity-relevant":[76],"tokens":[77],"reducing":[79],"To":[82],"support":[83],"this,":[84],"we":[85,107],"structured":[88],"multi-shot":[89],"script":[90],"format.":[91],"additionally":[93],"budgeted":[96],"update":[98],"strategy":[99],"maintain":[101],"compact,":[103],"evolving":[104],"Finally,":[106],"equip":[108],"representation":[111],"noise-injection":[114],"mechanism":[115],"that":[116],"enables":[117],"fine-grained":[118],"control,":[120],"preventing":[121],"information.":[125],"Our":[126],"method":[127],"improves":[128],"prompt":[129],"adherence":[130],"efficiency":[132],"preserving":[134],"subject":[135],"consistency.":[136]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-26T00:00:00"}