{"id":"https://openalex.org/W4414978009","doi":"https://doi.org/10.1109/iccv51701.2025.01753","title":"Teleportraits: Training-Free People Insertion Into Any Scene","display_name":"Teleportraits: Training-Free People Insertion Into Any Scene","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4414978009","doi":"https://doi.org/10.1109/iccv51701.2025.01753"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.01753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01753","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/2510.05660","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101698729","display_name":"Juan Gao","orcid":"https://orcid.org/0009-0009-1662-7469"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jialu Gao","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035656808","display_name":"K J Joseph","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"K J Joseph","raw_affiliation_strings":["Adobe Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe Research","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003508045","display_name":"Fernando De la Torre","orcid":"https://orcid.org/0000-0002-5143-3709"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fernando De La Torre","raw_affiliation_strings":["Carnegie Mellon University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":"18866","last_page":"18875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11024","display_name":"Information Systems Theories and Implementation","score":0.2685999870300293,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11024","display_name":"Information Systems Theories and Implementation","score":0.2685999870300293,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12720","display_name":"Multimedia Communication and Technology","score":0.2554999887943268,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11479","display_name":"Smart Cities and Technologies","score":0.2524000108242035,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/task","display_name":"Task (project management)","score":0.5559999942779541},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.551800012588501},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4115000069141388},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.3865000009536743},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36800000071525574},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.30309998989105225}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7656999826431274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6538000106811523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312999725341797},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.3865000009536743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2890999913215637},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.26019999384880066}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.01753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.01753","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:2510.05660","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.05660","pdf_url":"https://arxiv.org/pdf/2510.05660","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2510.05660","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.05660","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.05660","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.05660","pdf_url":"https://arxiv.org/pdf/2510.05660","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414978009.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,29,139],"realistically":[3],"inserting":[4,109],"a":[5,8,12,66,132,154],"human":[6,149],"from":[7,130],"reference":[9,134],"image":[10],"into":[11,111,151],"background":[13],"scene":[14,164],"is":[15],"highly":[16],"challenging,":[17],"requiring":[18,92],"the":[19,24,30,39,83,123,137,144],"model":[20],"to":[21,57,85,146],"(1)":[22],"determine":[23],"correct":[25],"location":[26],"and":[27,32,52,127,157,172],"poses":[28],"person":[31],"(2)":[33],"perform":[34,147],"high-quality":[35,120],"personalization":[36],"conditioned":[37],"on":[38,55],"background.":[40],"Previous":[41],"approaches":[42],"often":[43],"treat":[44],"them":[45],"as":[46],"separate":[47],"problems,":[48],"overlooking":[49],"their":[50],"interconnections,":[51],"typically":[53],"rely":[54],"training":[56],"achieve":[58,158],"high":[59],"performance.":[60],"In":[61],"this":[62],"work,":[63],"we":[64,142],"introduce":[65],"unified":[67],"training-free":[68,155],"pipeline":[69],"that":[70,78],"leverages":[71],"pre-trained":[72],"text-to-image":[73],"diffusion":[74,79],"models.":[75],"We":[76],"show":[77],"models":[80],"inherently":[81],"possess":[82],"knowledge":[84],"place":[86],"people":[87,110],"in":[88,153,161,170],"complex":[89],"scenes":[90,152],"without":[91],"task-specific":[93],"training.":[94],"By":[95],"combining":[96],"inversion":[97],"techniques":[98],"with":[99,166],"classifier-free":[100],"guidance,":[101],"our":[102,114,140],"method":[103],"achieves":[104],"affordance-aware":[105],"global":[106],"editing,":[107],"seamlessly":[108],"scenes.":[112],"Furthermore,":[113],"proposed":[115],"mask-guided":[116],"self-attention":[117],"mechanism":[118],"ensures":[119],"personalization,":[121],"preserving":[122],"subject's":[124],"identity,":[125],"clothing,":[126],"body":[128],"features":[129],"just":[131],"single":[133],"image.":[135],"To":[136],"best":[138],"knowledge,":[141],"are":[143],"first":[145],"realistic":[148],"insertions":[150],"manner":[156],"state-of-the-art":[159],"results":[160],"diverse":[162],"composite":[163],"images":[165],"excellent":[167],"identity":[168],"preservation":[169],"backgrounds":[171],"subjects.":[173]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
