{"id":"https://openalex.org/W7161712023","doi":"https://doi.org/10.48550/arxiv.2605.16696","title":"Face inpainting with Identity Preserving Latent Diffusion Models","display_name":"Face inpainting with Identity Preserving Latent Diffusion Models","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161712023","doi":"https://doi.org/10.48550/arxiv.2605.16696"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16696","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16696","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.2605.16696","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136501494","display_name":"Joao Eduardo Guarnetti dos Santos","orcid":"https://orcid.org/0000-0002-8564-1098"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Santos, Jo\u00e3o","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136455783","display_name":"Carlos Santiago","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Santiago, Carlos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136455233","display_name":"Manuel Marques","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marques, Manuel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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":0.6926000118255615,"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":0.6926000118255615,"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":0.2904999852180481,"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/T11094","display_name":"Face Recognition and Perception","score":0.0044999998062849045,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inpainting","display_name":"Inpainting","score":0.8695999979972839},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6729999780654907},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6191999912261963},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6021000146865845},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5565999746322632},{"id":"https://openalex.org/keywords/face-hallucination","display_name":"Face hallucination","score":0.5238999724388123},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5005999803543091},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.4223000109195709}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.8695999979972839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.695900022983551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6743999719619751},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6729999780654907},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6191999912261963},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6021000146865845},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5483999848365784},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.5238999724388123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.41130000352859497},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3935999870300293},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.38339999318122864},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.32899999618530273},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.2533999979496002},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16696","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16696","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.2605.16696","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16696","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Face":[0],"inpainting":[1,109,198],"techniques":[2],"recover":[3],"missing":[4],"or":[5,51,88],"occluded":[6,142],"facial":[7,72,97,127,143,148],"regions":[8,144],"in":[9,18,62],"a":[10,23,132,184],"visually":[11],"realistic":[12],"manner,":[13],"but":[14],"preserving":[15],"the":[16,19,75,123,169,173],"identity":[17,45,128,151,157,175,193],"final":[20],"output":[21],"remains":[22],"fundamental":[24],"challenge.":[25],"Identity":[26],"consistency":[27,158],"is":[28],"crucial":[29],"for":[30],"downstream":[31],"applications":[32],"such":[33],"as":[34],"face":[35,108,134,171],"recognition,":[36],"digital":[37],"forensics,":[38],"and":[39,96,150,159,172,182],"human-computer":[40],"interaction,":[41],"where":[42],"even":[43],"subtle":[44],"distortions":[46],"can":[47],"significantly":[48,191],"degrade":[49],"performance":[50,201],"trust.":[52],"Although":[53],"diffusion-based":[54,197],"generative":[55],"models":[56],"have":[57],"recently":[58],"achieved":[59],"remarkable":[60],"progress":[61],"image":[63],"inpainting,":[64],"they":[65],"often":[66],"struggle":[67],"to":[68,92,203],"faithfully":[69],"retain":[70],"individual-specific":[71],"characteristics.":[73],"On":[74],"other":[76],"hand,":[77],"existing":[78],"identity-aware":[79,205],"methods":[80],"typically":[81],"rely":[82],"on":[83,117,126,179,183],"costly":[84],"fine-tuning,":[85],"auxiliary":[86],"supervision,":[87],"exhibit":[89],"limited":[90],"robustness":[91],"diverse":[93],"occlusions,":[94],"poses,":[95],"variations.":[98],"To":[99],"address":[100],"these":[101],"limitations,":[102],"we":[103,154],"propose":[104],"ID-ControlNet,":[105],"an":[106,156],"identity-preserving":[107],"framework":[110],"built":[111],"upon":[112],"latent":[113],"diffusion":[114,124],"models.":[115],"Based":[116],"ControlNet":[118],"architecture,":[119],"our":[120],"approach":[121],"conditions":[122],"process":[125],"embeddings":[129],"extracted":[130],"from":[131],"pretrained":[133],"recognition":[135],"network.":[136],"This":[137],"design":[138],"enables":[139],"reconstruction":[140],"of":[141],"while":[145],"maintaining":[146],"global":[147],"coherence":[149],"fidelity.":[152],"Furthermore,":[153],"introduce":[155],"triplet":[160],"loss":[161],"training":[162],"strategy":[163],"that":[164,189],"explicitly":[165],"enforces":[166],"alignment":[167],"between":[168],"generated":[170],"target":[174],"representation.":[176],"Extensive":[177],"experiments":[178],"CelebA-HQ,":[180],"FFHQ,":[181],"new":[185],"E-Mask":[186],"dataset":[187],"demonstrate":[188],"ID-ControlNet":[190],"improves":[192],"preservation":[194],"over":[195],"standard":[196],"methods,":[199],"achieving":[200],"comparable":[202],"SOTA":[204],"approaches.":[206]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-20T00:00:00"}