{"id":"https://openalex.org/W7131097502","doi":"https://doi.org/10.1109/iccvw69036.2025.00211","title":"Enhancing Identity Preservation in Portrait Generation via Reward Optimization","display_name":"Enhancing Identity Preservation in Portrait Generation via Reward Optimization","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7131097502","doi":"https://doi.org/10.1109/iccvw69036.2025.00211"},"language":null,"primary_location":{"id":"doi:10.1109/iccvw69036.2025.00211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00211","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 Workshops (ICCVW)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100356239","display_name":"Yang Liu","orcid":"https://orcid.org/0009-0007-9978-0842"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["King's College,London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King's College,London","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031746269","display_name":"Hongyu Zang","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Zang","raw_affiliation_strings":["Beijing Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126657098","display_name":"Chao Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124264","display_name":"Sany (China)","ror":"https://ror.org/023jrwe36","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210124264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Xu","raw_affiliation_strings":["Sany Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sany Group","institution_ids":["https://openalex.org/I4210124264"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126604450","display_name":"Baigui Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124264","display_name":"Sany (China)","ror":"https://ror.org/023jrwe36","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210124264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baigui Sun","raw_affiliation_strings":["Sany Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sany Group","institution_ids":["https://openalex.org/I4210124264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012646628","display_name":"Shan Luo","orcid":"https://orcid.org/0000-0003-4760-0372"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shan Luo","raw_affiliation_strings":["King's College,London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King's College,London","institution_ids":["https://openalex.org/I183935753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6555979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2016","last_page":"2025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.21199999749660492,"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":0.21199999749660492,"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":0.1761000007390976,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.039900001138448715,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/overfitting","display_name":"Overfitting","score":0.7159000039100647},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6773999929428101},{"id":"https://openalex.org/keywords/portrait","display_name":"Portrait","score":0.609499990940094},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4821999967098236},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4311000108718872},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4043000042438507},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.39959999918937683},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.39239999651908875}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7159000039100647},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6773999929428101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6259999871253967},{"id":"https://openalex.org/C162462552","wikidata":"https://www.wikidata.org/wiki/Q134307","display_name":"Portrait","level":2,"score":0.609499990940094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774999856948853},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4311000108718872},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4189000129699707},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4043000042438507},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.39239999651908875},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.3862000107765198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38119998574256897},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.37689998745918274},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3747999966144562},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.2955999970436096},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.29499998688697815},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.28949999809265137},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.2775999903678894},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.26840001344680786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccvw69036.2025.00211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvw69036.2025.00211","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 Workshops (ICCVW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2119717200","https://openalex.org/W2736601468","https://openalex.org/W3034552680","https://openalex.org/W3153647143","https://openalex.org/W3166898278","https://openalex.org/W4312933868","https://openalex.org/W4386072096","https://openalex.org/W4386076425","https://openalex.org/W4389539696","https://openalex.org/W4390874002"],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,15,130,134],"tailored":[3],"image":[4],"synthesis":[5],"have":[6],"high-lighted":[7],"the":[8,33,37,68,77,82,102,107,118,135],"remarkable":[9],"capabilities":[10],"of":[11,23,36,43,120],"pre-trained":[12],"text-to-image":[13],"frameworks":[14],"encapsulating":[16],"individual":[17],"identity":[18,45,133],"traits":[19],"from":[20],"a":[21,41,54,72,95,112,127],"collection":[22],"portrait":[24,59],"photographs.":[25],"However,":[26],"these":[27],"solutions":[28],"may":[29],"not":[30],"accurately":[31],"reflect":[32],"key":[34],"characteristics":[35],"input,":[38],"leading":[39],"to":[40,66,90,105,116],"loss":[42],"essential":[44],"traits.":[46],"To":[47],"alleviate":[48],"this":[49],"issue,":[50],"our":[51],"study":[52],"introduces":[53],"new":[55],"framework":[56,62],"for":[57,98],"personalized":[58],"generation.":[60],"This":[61],"leverages":[63],"reward":[64,78],"optimization":[65],"refine":[67],"generation":[69],"process,":[70],"integrating":[71],"face":[73],"recognition":[74],"model":[75],"into":[76],"function.":[79],"It":[80],"assesses":[81],"similarity":[83],"between":[84],"user-provided":[85],"images":[86],"and":[87,110],"synthetic":[88],"portraits":[89],"determine":[91],"rewards.":[92],"We":[93],"utilize":[94],"pathwise":[96],"estimator":[97],"gradient":[99],"estimation,":[100],"employing":[101],"Gumbel-Softmax":[103],"technique":[104],"fulfill":[106],"differentiability":[108],"requirement":[109],"incorporating":[111],"KL":[113],"divergence":[114],"regularizer":[115],"mitigate":[117],"risk":[119],"overfitting":[121],"on":[122],"reward.":[123],"Our":[124],"showcases":[125],"indicate":[126],"marked":[128],"improvement":[129],"preserving":[131],"human":[132],"generated":[136],"portraits.":[137]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-24T00:00:00"}