{"id":"https://openalex.org/W7155539399","doi":"https://doi.org/10.48550/arxiv.2604.21689","title":"StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognition","display_name":"StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognition","publication_year":2026,"publication_date":"2026-04-23","ids":{"openalex":"https://openalex.org/W7155539399","doi":"https://doi.org/10.48550/arxiv.2604.21689"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.21689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21689","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":null,"license_id":null,"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.2604.21689","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134554572","display_name":"Kwan Yun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yun, Kwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001911765","display_name":"Changmin Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Changmin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134518423","display_name":"Ayeong Jeong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeong, Ayeong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134548656","display_name":"Youngseo Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Youngseo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056669082","display_name":"Seungmi Lee","orcid":"https://orcid.org/0009-0008-1516-379X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Seungmi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134495095","display_name":"Junyong Noh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noh, Junyong","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/T11448","display_name":"Face recognition and analysis","score":0.40290001034736633,"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/T11448","display_name":"Face recognition and analysis","score":0.40290001034736633,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.26489999890327454,"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":0.18799999356269836,"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/identity","display_name":"Identity (music)","score":0.5942999720573425},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.49959999322891235},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4708000123500824},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4593000113964081},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43810001015663147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4311000108718872},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.385699987411499},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.3449999988079071},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.34450000524520874}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6844000220298767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6599000096321106},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5942999720573425},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.49959999322891235},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4708000123500824},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4593000113964081},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43810001015663147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4311000108718872},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.385699987411499},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3508000075817108},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.34450000524520874},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.3434999883174896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33180001378059387},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.32420000433921814},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.30889999866485596},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.28769999742507935},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.27950000762939453},{"id":"https://openalex.org/C161657702","wikidata":"https://www.wikidata.org/wiki/Q529895","display_name":"Face perception","level":3,"score":0.27619999647140503},{"id":"https://openalex.org/C2777179996","wikidata":"https://www.wikidata.org/wiki/Q911222","display_name":"Mistake","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.21689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21689","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.21689","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.21689","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.41551730036735535}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Creative":[0],"face":[1],"stylization":[2,113],"aims":[3],"to":[4,53,65,143],"render":[5],"portraits":[6],"in":[7,43],"diverse":[8],"visual":[9],"idioms":[10],"such":[11],"as":[12],"cartoons,":[13],"sketches,":[14],"and":[15,29,67,74,87,111,118,153,168,181],"paintings":[16],"while":[17],"retaining":[18],"recognizable":[19],"identity.":[20],"However,":[21],"current":[22],"identity":[23,49,69,92],"encoders,":[24],"which":[25],"are":[26,184],"typically":[27],"trained":[28],"calibrated":[30,159],"on":[31],"natural":[32],"photographs,":[33],"exhibit":[34],"severe":[35],"brittleness":[36],"under":[37,93],"stylization.":[38,94],"They":[39],"often":[40],"mistake":[41],"changes":[42],"texture":[44],"or":[45,51],"color":[46],"palette":[47],"for":[48,90,171],"drift":[50],"fail":[52],"detect":[54],"geometric":[55],"exaggerations.":[56],"This":[57],"reveals":[58],"the":[59],"lack":[60],"of":[61,177],"a":[62,83,101,121],"style-agnostic":[63],"framework":[64,89],"evaluate":[66],"supervise":[68],"consistency":[70],"across":[71,109,151],"varying":[72],"styles":[73,152],"strengths.":[75,154],"To":[76],"address":[77],"this":[78],"gap,":[79],"we":[80,138],"introduce":[81],"StyleID,":[82],"human":[84,105,149,166],"perception-aware":[85],"dataset":[86],"evaluation":[88],"facial":[91],"StyleID":[95],"comprises":[96],"two":[97],"datasets:":[98],"(i)":[99],"StyleBench-H,":[100],"benchmark":[102],"that":[103,157],"captures":[104],"same-different":[106],"verification":[107],"judgments":[108,167],"diffusion-":[110],"flow-matching-based":[112],"at":[114,187],"multiple":[115],"style":[116],"strengths,":[117],"(ii)":[119],"StyleBench-S,":[120,137],"supervision":[122],"set":[123],"derived":[124],"from":[125],"psychometric":[126],"recognition-strength":[127],"curves":[128],"obtained":[129],"through":[130],"controlled":[131],"two-alternative":[132],"forced-choice":[133],"(2AFC)":[134],"experiments.":[135],"Leveraging":[136],"fine-tune":[139],"existing":[140],"semantic":[141],"encoders":[142],"align":[144],"their":[145],"similarity":[146],"orderings":[147],"with":[148,165],"perception":[150],"Experiments":[155],"demonstrate":[156],"our":[158,178],"models":[160,183],"yield":[161],"significantly":[162],"higher":[163],"correlation":[164],"enhanced":[169],"robustness":[170],"out-of-domain,":[172],"artist":[173],"drawn":[174],"portraits.":[175],"All":[176],"datasets,":[179],"code,":[180],"pretrained":[182],"publicly":[185],"available":[186],"https://kwanyun.github.io/StyleID_page/":[188]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-25T00:00:00"}