{"id":"https://openalex.org/W4417032115","doi":"https://doi.org/10.1109/wacv61042.2026.00125","title":"Fully Unsupervised Self-debiasing of Text-to-Image Diffusion Models","display_name":"Fully Unsupervised Self-debiasing of Text-to-Image Diffusion Models","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W4417032115","doi":"https://doi.org/10.1109/wacv61042.2026.00125"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/2512.03749","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120589925","display_name":"Korada Sri Vardhana","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Korada Sri Vardhana","raw_affiliation_strings":["Indian Institute of Science,Bengaluru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Bengaluru","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shrikrishna Lolla","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shrikrishna Lolla","raw_affiliation_strings":["Indian Institute of Science,Bengaluru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Bengaluru","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055091440","display_name":"Soma Biswas","orcid":"https://orcid.org/0000-0002-9068-7023"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soma Biswas","raw_affiliation_strings":["Indian Institute of Science,Bengaluru"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Science,Bengaluru","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02595621,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1221","last_page":"1230"},"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":0.35839998722076416,"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":0.35839998722076416,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.24040000140666962,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.05420000106096268,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5821999907493591},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5807999968528748},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5354999899864197},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5095000267028809},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4936999976634979},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.49230000376701355},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4424000084400177},{"id":"https://openalex.org/keywords/diffusion-map","display_name":"Diffusion map","score":0.4124000072479248},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.4090999960899353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6870999932289124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6147000193595886},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5821999907493591},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5807999968528748},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5095000267028809},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4936999976634979},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.49230000376701355},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4424000084400177},{"id":"https://openalex.org/C55128770","wikidata":"https://www.wikidata.org/wiki/Q5275440","display_name":"Diffusion map","level":4,"score":0.4124000072479248},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.398499995470047},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3831000030040741},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C68710425","wikidata":"https://www.wikidata.org/wiki/Q5275442","display_name":"Diffusion process","level":3,"score":0.3522999882698059},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.33079999685287476},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2833999991416931},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.2524999976158142},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2524000108242035}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv61042.2026.00125","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2512.03749","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03749","pdf_url":"https://arxiv.org/pdf/2512.03749","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2512.03749","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.03749","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":"pmh:oai:arXiv.org:2512.03749","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2512.03749","pdf_url":"https://arxiv.org/pdf/2512.03749","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310071","display_name":"Indian Institute of Science","ror":"https://ror.org/04dese585"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417032115.pdf","grobid_xml":"https://content.openalex.org/works/W4417032115.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Text-to-image":[0],"(T2I)":[1],"diffusion":[2,61,88,139],"models":[3,18,39],"have":[4],"achieved":[5],"widespread":[6],"success":[7],"due":[8],"to":[9,12,59,85,125],"their":[10],"ability":[11],"generate":[13],"high-resolution,":[14],"photorealistic":[15],"images.":[16],"These":[17],"are":[19],"trained":[20,116],"on":[21],"large-scale":[22],"datasets,":[23],"like":[24],"LAION-5B,":[25],"often":[26],"scraped":[27],"from":[28],"the":[29,38,87,93,97,101,160,164],"internet.":[30],"However,":[31],"since":[32],"this":[33],"data":[34],"contains":[35],"numerous":[36],"biases,":[37],"inherently":[40],"learn":[41],"and":[42,81,100,138,145],"reproduce":[43],"them,":[44],"resulting":[45],"in":[46,75],"stereotypical":[47],"outputs.":[48],"We":[49],"introduce":[50],"SelfDebias,":[51],"a":[52,65],"fully":[53],"unsupervised":[54],"test-time":[55],"debiasing":[56],"method":[57],"applicable":[58],"any":[60],"model":[62,140],"that":[63,133],"uses":[64,82],"UNet":[66],"as":[67],"its":[68],"noise":[69],"predictor.":[70],"SelfDebias":[71,107,134],"identifies":[72],"semantic":[73,128],"clusters":[74,84],"an":[76],"image":[77],"encoder\u2019s":[78],"embedding":[79],"space":[80],"these":[83],"guide":[86],"process":[89],"during":[90],"inference,":[91],"minimizing":[92],"KL":[94],"divergence":[95],"between":[96],"output":[98],"distribution":[99],"uniform":[102],"distribution.":[103],"Unlike":[104],"supervised":[105],"approaches,":[106],"does":[108],"not":[109,149],"require":[110],"human-annotated":[111],"datasets":[112],"or":[113],"external":[114],"classifiers":[115],"for":[117,172],"each":[118],"generated":[119,165],"concept.":[120],"Instead,":[121],"it":[122],"is":[123,176],"designed":[124],"automatically":[126],"identify":[127],"modes.":[129],"Extensive":[130],"experiments":[131],"show":[132],"generalizes":[135],"across":[136],"prompts":[137],"architectures,":[141],"including":[142],"both":[143],"conditional":[144],"unconditional":[146],"models.":[147],"It":[148],"only":[150],"effectively":[151],"debiases":[152],"images":[153],"along":[154],"key":[155],"demographic":[156],"dimensions":[157],"while":[158],"maintaining":[159],"visual":[161],"fidelity":[162],"of":[163],"images,":[166],"but":[167],"also":[168,177],"more":[169],"abstract":[170],"concepts":[171],"which":[173],"identifying":[174],"biases":[175],"challenging.":[178]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-12-05T00:00:00"}
