{"id":"https://openalex.org/W4386076532","doi":"https://doi.org/10.1109/cvpr52729.2023.00585","title":"Null-text Inversion for Editing Real Images using Guided Diffusion Models","display_name":"Null-text Inversion for Editing Real Images using Guided Diffusion Models","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4386076532","doi":"https://doi.org/10.1109/cvpr52729.2023.00585"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52729.2023.00585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","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/A5017234862","display_name":"Ron Mokady","orcid":"https://orcid.org/0000-0003-2171-9973"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]},{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["IL","US"],"is_corresponding":true,"raw_author_name":"Ron Mokady","raw_affiliation_strings":["Google Research","The Blavatnik School of Computer Science, Tel Aviv University"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"The Blavatnik School of Computer Science, Tel Aviv University","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008327409","display_name":"Amir Hertz","orcid":"https://orcid.org/0000-0003-3037-3556"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]},{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Amir Hertz","raw_affiliation_strings":["Google Research","The Blavatnik School of Computer Science, Tel Aviv University"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"The Blavatnik School of Computer Science, Tel Aviv University","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022318529","display_name":"Kfir Aberman","orcid":"https://orcid.org/0000-0002-4958-601X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kfir Aberman","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062953470","display_name":"Yael Pritch","orcid":"https://orcid.org/0000-0002-5419-3915"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yael Pritch","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036688260","display_name":"Daniel Cohen\u2010Or","orcid":"https://orcid.org/0000-0001-6777-7445"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL","US"],"is_corresponding":false,"raw_author_name":"Daniel Cohen-Or","raw_affiliation_strings":["Google Research","The Blavatnik School of Computer Science, Tel Aviv University"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"The Blavatnik School of Computer Science, Tel Aviv University","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017234862"],"corresponding_institution_ids":["https://openalex.org/I1291425158","https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":65.2491,"has_fulltext":false,"cited_by_count":549,"citation_normalized_percentile":{"value":0.9995433,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"6038","last_page":"6047"},"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":0.9958999752998352,"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":0.9958999752998352,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11751","display_name":"Lattice Boltzmann Simulation Studies","score":0.9682000279426575,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8107446432113647},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6960476636886597},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.612047016620636},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5176739692687988},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.5151864290237427},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4715811312198639},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.46929627656936646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46309757232666016},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3800720274448395},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3770771026611328},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.325023889541626}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8107446432113647},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6960476636886597},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.612047016620636},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5176739692687988},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.5151864290237427},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4715811312198639},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.46929627656936646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46309757232666016},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3800720274448395},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3770771026611328},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.325023889541626},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52729.2023.00585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52729.2023.00585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1889081078","https://openalex.org/W2129069237","https://openalex.org/W2519536754","https://openalex.org/W2959300817","https://openalex.org/W2963105487","https://openalex.org/W2963917315","https://openalex.org/W2985068832","https://openalex.org/W3035355202","https://openalex.org/W3036167779","https://openalex.org/W3121370741","https://openalex.org/W3162926177","https://openalex.org/W3166396011","https://openalex.org/W3173102319","https://openalex.org/W3176913662","https://openalex.org/W3178406257","https://openalex.org/W3180355996","https://openalex.org/W3216130706","https://openalex.org/W3216156094","https://openalex.org/W3216352822","https://openalex.org/W3217427959","https://openalex.org/W4224035735","https://openalex.org/W4225744354","https://openalex.org/W4226125322","https://openalex.org/W4281484041","https://openalex.org/W4281485151","https://openalex.org/W4286976841","https://openalex.org/W4287029626","https://openalex.org/W4288099666","https://openalex.org/W4289785045","https://openalex.org/W4289785095","https://openalex.org/W4297748412","https://openalex.org/W4303439004","https://openalex.org/W4305033769","https://openalex.org/W4307106676","https://openalex.org/W4312282373","https://openalex.org/W4312740349","https://openalex.org/W4312872987","https://openalex.org/W4312933868","https://openalex.org/W4312946364","https://openalex.org/W4318203092","https://openalex.org/W4385271281","https://openalex.org/W4386057725","https://openalex.org/W4386072096","https://openalex.org/W6726794401","https://openalex.org/W6765775151","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6795288823","https://openalex.org/W6797469170","https://openalex.org/W6804709890","https://openalex.org/W6840815571"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W1986883493","https://openalex.org/W2469862403","https://openalex.org/W2166378262","https://openalex.org/W4379524643","https://openalex.org/W2035891203","https://openalex.org/W2367807705","https://openalex.org/W2011027677","https://openalex.org/W3029152356"],"abstract_inverted_index":{"Recent":[0],"large-scale":[1],"text-guided":[2],"diffusion":[3,92],"models":[4],"provide":[5,136],"powerful":[6],"image":[7,39,49],"generation":[8],"capabilities.":[9],"Currently,":[10],"a":[11,37,51,104,110,125,137,210],"massive":[12],"effort":[13],"is":[14,129,156,206],"given":[15],"to":[16,28,103],"enable":[17],"the":[18,48,56,77,151,163,172,176,188,192,200],"modification":[19,75],"of":[20,76,83,191,212,221],"these":[21,41],"images":[22,213],"using":[23,40],"text":[24,53,165],"only":[25,149],"as":[26],"means":[27],"offer":[29],"intuitive":[30,73],"and":[31,69,118,175,180,214],"versatile":[32],"editing":[33,185,220],"tools.":[34],"To":[35],"edit":[36],"real":[38,222],"state-of-the-art":[42],"tools,":[43],"one":[44],"must":[45],"first":[46],"invert":[47],"with":[50],"meaningful":[52],"prompt":[54,216],"into":[55],"pretrained":[57],"model's":[58,193],"domain.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,108,148],"introduce":[64],"an":[65,72],"accurate":[66],"inversion":[67,81,90,128],"technique":[68],"thus":[70],"facilitate":[71],"text-based":[74],"image.":[78],"Our":[79,195],"proposed":[80],"consists":[82],"two":[84],"key":[85],"novel":[86],"components:":[87],"(i)":[88],"Pivotal":[89],"for":[91,115,141,158,169],"models.":[93],"While":[94],"current":[95],"methods":[96],"aim":[97],"at":[98],"mapping":[99],"random":[100],"noise":[101,113],"samples":[102],"single":[105,111],"input":[106,164],"image,":[107],"use":[109],"pivotal":[112],"vector":[114],"each":[116],"timestamp":[117],"optimize":[119],"around":[120],"it.":[121],"We":[122],"demonstrate":[123],"that":[124,155],"direct":[126],"DDIM":[127],"inadequate":[130],"on":[131,199,209],"its":[132],"own,":[133],"but":[134],"does":[135],"rather":[138,161],"good":[139],"anchor":[140],"our":[142],"optimization.":[143],"(ii)":[144],"Null-text":[145],"optimization,":[146],"where":[147],"modify":[150],"unconditional":[152],"textual":[153],"embedding":[154,178],"used":[157],"classifier-free":[159],"guidance,":[160],"than":[162],"embedding.":[166],"This":[167],"allows":[168],"keeping":[170],"both":[171],"model":[173],"weights":[174],"conditional":[177],"intact":[179],"hence":[181],"enables":[182],"applying":[183],"prompt-based":[184],"while":[186],"avoiding":[187],"cumbersome":[189],"tuning":[190],"weights.":[194],"null-text":[196],"inversion,":[197],"based":[198],"publicly":[201],"available":[202],"Stable":[203],"Diffusion":[204],"model,":[205],"extensively":[207],"evaluated":[208],"variety":[211],"various":[215],"editing,":[217],"showing":[218],"high-fidelity":[219],"images.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":19},{"year":2025,"cited_by_count":215},{"year":2024,"cited_by_count":264},{"year":2023,"cited_by_count":51}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}