{"id":"https://openalex.org/W7164418948","doi":"https://doi.org/10.48550/arxiv.2606.11670","title":"ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation","display_name":"ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation","publication_year":2026,"publication_date":"2026-06-10","ids":{"openalex":"https://openalex.org/W7164418948","doi":"https://doi.org/10.48550/arxiv.2606.11670"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.11670","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11670","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":"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.2606.11670","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138456380","display_name":"Zijie Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Zijie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138412825","display_name":"Jiwen Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jiwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138449420","display_name":"Yufei Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yufei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113394706","display_name":"Chengzhuo Tong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong, Chengzhuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138458536","display_name":"Xiaoqiang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xiaoqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138449414","display_name":"Yuanxing Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Yuanxing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138456151","display_name":"Yulong Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Yulong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138449832","display_name":"Pengfei Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Pengfei","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":0.9247000217437744,"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":0.9247000217437744,"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/T11448","display_name":"Face recognition and analysis","score":0.036400001496076584,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.005400000140070915,"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/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.6632000207901001},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6207000017166138},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6194000244140625},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4465999901294708},{"id":"https://openalex.org/keywords/adapter","display_name":"Adapter (computing)","score":0.36880001425743103},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.33410000801086426}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.6632000207901001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294000148773193},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6207000017166138},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6194000244140625},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4465999901294708},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3799000084400177},{"id":"https://openalex.org/C177284502","wikidata":"https://www.wikidata.org/wiki/Q1005390","display_name":"Adapter (computing)","level":2,"score":0.36880001425743103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3538999855518341},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.3228999972343445},{"id":"https://openalex.org/C2780542009","wikidata":"https://www.wikidata.org/wiki/Q1091147","display_name":"Online identity","level":3,"score":0.31150001287460327},{"id":"https://openalex.org/C2776760603","wikidata":"https://www.wikidata.org/wiki/Q3622471","display_name":"Argus","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29490000009536743},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2533000111579895}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.11670","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11670","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":"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.2606.11670","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.11670","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":"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Subject-preserving":[0],"video":[1,226],"generation":[2],"is":[3,40],"not":[4],"solved":[5],"by":[6,203],"frontal-face":[7],"similarity":[8],"alone:":[9],"a":[10,48,64,82,115,120,159],"generated":[11],"person":[12],"must":[13],"remain":[14],"recognizable":[15],"across":[16],"motion,":[17],"large":[18],"viewpoint":[19],"changes,":[20],"expression":[21],"shifts,":[22],"occlusion,":[23],"scale":[24],"variation,":[25],"and":[26,31,58,94,134,145,163,166,171,189,198,201,205,217],"conflicts":[27],"among":[28],"text,":[29],"first-frame,":[30],"identity":[32,46,79,108,132,215],"references.":[33],"We":[34,61,155],"argue":[35],"that":[36,213],"the":[37,41,87,90,209],"central":[38],"bottleneck":[39],"point-reference":[42],"paradigm,":[43],"which":[44],"collapses":[45],"into":[47,81,119],"single":[49,116],"static":[50],"observation":[51],"entangled":[52],"with":[53,89],"pose,":[54],"accessories,":[55],"lighting,":[56],"background,":[57],"camera":[59],"statistics.":[60],"introduce":[62,164],"Argus,":[63],"Wan-based":[65],"framework":[66],"centered":[67],"on":[68,178],"Stacked":[69],"Multi-View":[70],"Identity":[71,128,143],"Mosaic":[72],"Injection":[73],"(SMII).":[74],"SMII":[75],"converts":[76],"MLLM-selected":[77],"image/video":[78],"evidence":[80],"3*3":[83],"stacked":[84],"mosaic,":[85],"synchronizes":[86],"mosaic":[88],"current":[91],"diffusion":[92],"time,":[93],"injects":[95],"it":[96],"as":[97],"negative-time":[98],"read-only":[99],"memory":[100,216],"in":[101],"Wan's":[102],"native":[103],"token":[104],"space.":[105],"This":[106],"turns":[107],"from":[109],"an":[110,126],"external":[111],"clean":[112],"adapter":[113],"or":[114],"reference":[117],"image":[118],"compact":[121],"dynamic":[122,214],"distribution.":[123],"Around":[124],"SMII,":[125],"MLLM":[127],"Director":[129],"selects":[130],"informative":[131],"moments":[133],"resolves":[135],"condition":[136],"conflicts,":[137],"while":[138],"no-cross-pair":[139],"counterfactual":[140,219],"training,":[141],"Temporal":[142],"Annealing,":[144],"Adaptive":[146],"Self-Likeness":[147],"Guidance":[148],"improve":[149],"robustness":[150],"without":[151],"paired":[152],"subject-video":[153],"supervision.":[154],"further":[156],"release":[157],"HardID-Celeb,":[158,193],"public-figure":[160],"identity-stress":[161],"benchmark,":[162],"YawScore":[165,200],"OccScore":[167,202],"to":[168],"probe":[169],"large-yaw":[170],"first-frame-occlusion":[172],"robustness.":[173],"Argus":[174,194],"achieves":[175],"state-of-the-art":[176],"results":[177],"OpenS2V-Eval":[179],"Human-Domain,":[180],"reaching":[181],"64.38":[182],"Total":[183],"Score,":[184],"71.86":[185],"FaceSim,":[186],"51.62":[187],"NexusScore,":[188],"79.14":[190],"NaturalScore.":[191],"On":[192],"obtains":[195],"76.80":[196],"FaceSim":[197],"improves":[199],"12.60":[204],"15.10":[206],"points":[207],"over":[208],"strongest":[210],"baselines,":[211],"demonstrating":[212],"large-scale":[218],"self-supervision":[220],"are":[221],"highly":[222],"effective":[223],"for":[224],"subject-preserving":[225],"generation.":[227]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-12T00:00:00"}