{"id":"https://openalex.org/W4384826610","doi":"https://doi.org/10.1145/3610287","title":"CLIP-guided StyleGAN Inversion for Text-driven Real Image Editing","display_name":"CLIP-guided StyleGAN Inversion for Text-driven Real Image Editing","publication_year":2023,"publication_date":"2023-07-19","ids":{"openalex":"https://openalex.org/W4384826610","doi":"https://doi.org/10.1145/3610287"},"language":"en","primary_location":{"id":"doi:10.1145/3610287","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3610287","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3610287","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3610287","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092501541","display_name":"Ahmet Canberk Baykal","orcid":"https://orcid.org/0000-0002-0249-5858"},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ahmet Canberk Baykal","raw_affiliation_strings":["Ko\u00e7 University, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-0249-5858","affiliations":[{"raw_affiliation_string":"Ko\u00e7 University, Turkey","institution_ids":["https://openalex.org/I1351752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084522255","display_name":"Abdul Basit Anees","orcid":"https://orcid.org/0000-0003-1293-1796"},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Abdul Basit Anees","raw_affiliation_strings":["Ko\u00e7 University, Turkey"],"raw_orcid":"https://orcid.org/0000-0003-1293-1796","affiliations":[{"raw_affiliation_string":"Ko\u00e7 University, Turkey","institution_ids":["https://openalex.org/I1351752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103140747","display_name":"Duygu Ceylan","orcid":"https://orcid.org/0000-0002-2307-9052"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duygu Ceylan","raw_affiliation_strings":["Adobe Research, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-2307-9052","affiliations":[{"raw_affiliation_string":"Adobe Research, United Kingdom","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074809120","display_name":"Erkut Erdem","orcid":"https://orcid.org/0000-0002-6744-8614"},"institutions":[{"id":"https://openalex.org/I66514158","display_name":"Hacettepe University","ror":"https://ror.org/04kwvgz42","country_code":"TR","type":"education","lineage":["https://openalex.org/I66514158"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erkut Erdem","raw_affiliation_strings":["Hacettepe University, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6744-8614","affiliations":[{"raw_affiliation_string":"Hacettepe University, Turkey","institution_ids":["https://openalex.org/I66514158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000080119","display_name":"Aykut Erdem","orcid":"https://orcid.org/0000-0002-6280-8422"},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Aykut Erdem","raw_affiliation_strings":["Ko\u00e7 University, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6280-8422","affiliations":[{"raw_affiliation_string":"Ko\u00e7 University, Turkey","institution_ids":["https://openalex.org/I1351752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013522667","display_name":"Deniz Y\u00fcret","orcid":"https://orcid.org/0000-0002-7039-0046"},"institutions":[{"id":"https://openalex.org/I1351752","display_name":"Ko\u00e7 University","ror":"https://ror.org/00jzwgz36","country_code":"TR","type":"education","lineage":["https://openalex.org/I1351752"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Deniz Yuret","raw_affiliation_strings":["Ko\u00e7 University, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-7039-0046","affiliations":[{"raw_affiliation_string":"Ko\u00e7 University, Turkey","institution_ids":["https://openalex.org/I1351752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5527,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.91554168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"42","issue":"5","first_page":"1","last_page":"18"},"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":0.9995999932289124,"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":0.9995999932289124,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9941999912261963,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9896000027656555,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8540184497833252},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.7871055006980896},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6006507277488708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5009496212005615},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.454928994178772},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43941208720207214},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4220725893974304}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8540184497833252},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.7871055006980896},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6006507277488708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5009496212005615},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.454928994178772},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43941208720207214},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4220725893974304},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3610287","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3610287","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3610287","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3610287","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3610287","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3610287","source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384826610.pdf","grobid_xml":"https://content.openalex.org/works/W4384826610.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1797268635","https://openalex.org/W2194775991","https://openalex.org/W2612690371","https://openalex.org/W2913668833","https://openalex.org/W2961363059","https://openalex.org/W2962785568","https://openalex.org/W2962793481","https://openalex.org/W2962945654","https://openalex.org/W2969985801","https://openalex.org/W2985068832","https://openalex.org/W3034521057","https://openalex.org/W3035355202","https://openalex.org/W3035574324","https://openalex.org/W3035653890","https://openalex.org/W3036167779","https://openalex.org/W3047371217","https://openalex.org/W3087815362","https://openalex.org/W3122887115","https://openalex.org/W3173102319","https://openalex.org/W3178406257","https://openalex.org/W3181462058","https://openalex.org/W3201739204","https://openalex.org/W3217427959","https://openalex.org/W4214926101","https://openalex.org/W4234552385","https://openalex.org/W4289785045","https://openalex.org/W4312283676","https://openalex.org/W4312689165","https://openalex.org/W4386057725","https://openalex.org/W6779823529","https://openalex.org/W6788812206","https://openalex.org/W6810805153","https://openalex.org/W6810957369"],"related_works":["https://openalex.org/W2312145515","https://openalex.org/W4319453795","https://openalex.org/W4205104112","https://openalex.org/W1974870326","https://openalex.org/W2770776392","https://openalex.org/W3176454756","https://openalex.org/W2772330423","https://openalex.org/W4386301887","https://openalex.org/W2888888887","https://openalex.org/W3006381446"],"abstract_inverted_index":{"Researchers":[0],"have":[1,58],"recently":[2],"begun":[3],"exploring":[4],"the":[5,25,52,68,106,124,129,136,159,167,170],"use":[6,107,150],"of":[7,102,108,135,180],"StyleGAN-based":[8],"models":[9],"for":[10,30],"real":[11],"image":[12,87],"editing.":[13],"One":[14],"particularly":[15],"interesting":[16],"application":[17],"is":[18,63,91,105],"using":[19,33],"natural":[20],"language":[21,34],"descriptions":[22],"to":[23,37,47,72,93,142,155],"guide":[24],"editing":[26,31,49,88],"process.":[27],"Existing":[28],"approaches":[29,57,177],"images":[32],"either":[35],"resort":[36],"instance-level":[38],"latent":[39,53,162],"code":[40],"optimization":[41],"or":[42],"map":[43],"predefined":[44],"text":[45,171],"prompts":[46],"some":[48],"directions":[50],"in":[51,158,178],"space.":[54],"However,":[55],"these":[56,79],"inherent":[59],"limitations.":[60],"The":[61,100],"former":[62],"not":[64],"very":[65],"efficient,":[66],"while":[67],"latter":[69],"often":[70],"struggles":[71],"effectively":[73],"handle":[74],"multi-attribute":[75,98],"changes.":[76,99],"To":[77],"address":[78],"weaknesses,":[80],"we":[81,139,149],"present":[82],"CLIPInverter,":[83],"a":[84,151],"new":[85],"text-driven":[86],"approach":[89],"that":[90,121],"able":[92,141],"efficiently":[94],"and":[95,183,192,199],"reliably":[96],"perform":[97],"core":[101],"our":[103,197],"method":[104,174],"novel,":[109],"lightweight":[110],"text-conditioned":[111],"adapter":[112],"layers":[113],"integrated":[114],"into":[115],"pretrained":[116],"GAN-inversion":[117],"networks.":[118],"We":[119],"demonstrate":[120],"by":[122,196],"conditioning":[123],"initial":[125],"inversion":[126],"step":[127,154],"on":[128,185],"Contrastive":[130],"Language-Image":[131],"Pre-training":[132],"(CLIP)":[133],"embedding":[134],"target":[137],"description,":[138],"are":[140],"obtain":[143],"more":[144],"successful":[145],"edit":[146],"directions.":[147],"Additionally,":[148],"CLIP-guided":[152],"refinement":[153],"make":[156],"corrections":[157],"resulting":[160],"residual":[161],"codes,":[163],"which":[164],"further":[165],"improves":[166],"alignment":[168],"with":[169],"prompt.":[172],"Our":[173],"outperforms":[175],"competing":[176],"terms":[179],"manipulation":[181],"accuracy":[182],"photo-realism":[184],"various":[186],"domains":[187],"including":[188],"human":[189],"faces,":[190],"cats,":[191],"birds,":[193],"as":[194],"shown":[195],"qualitative":[198],"quantitative":[200],"results.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}