{"id":"https://openalex.org/W4414682760","doi":"https://doi.org/10.48550/arxiv.2506.19103","title":"Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models","display_name":"Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4414682760","doi":"https://doi.org/10.48550/arxiv.2506.19103"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2506.19103","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.19103","pdf_url":"https://arxiv.org/pdf/2506.19103","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.19103","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119788729","display_name":"Ilia Beletskii","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Beletskii, Ilia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101915268","display_name":"Andrey Kuznetsov","orcid":"https://orcid.org/0000-0002-0425-2171"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kuznetsov, Andrey","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051275168","display_name":"Aibek Alanov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alanov, Aibek","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119788729"],"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.6327000260353088,"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"}},"topics":[{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.6327000260353088,"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"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.5752000212669373,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.5723000168800354,"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/image-editing","display_name":"Image editing","score":0.7168999910354614},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.5153999924659729},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.49160000681877136},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49079999327659607},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47690001130104065},{"id":"https://openalex.org/keywords/data-consistency","display_name":"Data consistency","score":0.4410000145435333},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3968999981880188},{"id":"https://openalex.org/keywords/image-synthesis","display_name":"Image synthesis","score":0.3628999888896942}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8004999756813049},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.7168999910354614},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.5153999924659729},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.49160000681877136},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49079999327659607},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4878999888896942},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47690001130104065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45719999074935913},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3968999981880188},{"id":"https://openalex.org/C2989087649","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Image synthesis","level":3,"score":0.3628999888896942},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35850000381469727},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.34929999709129333},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.30219998955726624},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.28760001063346863},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28110000491142273},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2793999910354614},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25429999828338623},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.25279998779296875}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2506.19103","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.19103","pdf_url":"https://arxiv.org/pdf/2506.19103","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2506.19103","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.19103","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.19103","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.19103","pdf_url":"https://arxiv.org/pdf/2506.19103","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,88],"image":[3,56,80,120],"editing":[4,38,87,121],"with":[5],"diffusion":[6,32,133],"models":[7,33,134],"have":[8],"achieved":[9],"impressive":[10],"results,":[11],"offering":[12],"fine-grained":[13],"control":[14],"over":[15],"the":[16,61,67],"generation":[17],"process.":[18],"However,":[19],"these":[20],"methods":[21],"are":[22,52],"computationally":[23],"intensive":[24],"because":[25,43],"of":[26,44,66,142],"their":[27,37],"iterative":[28],"nature.":[29],"While":[30],"distilled":[31],"enable":[34],"faster":[35],"inference,":[36],"capabilities":[39],"remain":[40],"limited,":[41],"primarily":[42],"poor":[45],"inversion":[46,49,81],"quality.":[47],"High-fidelity":[48],"and":[50,63,104,111,123],"reconstruction":[51,102],"essential":[53],"for":[54],"precise":[55],"editing,":[57],"as":[58],"they":[59],"preserve":[60],"structural":[62],"semantic":[64],"integrity":[65],"source":[68],"image.":[69],"In":[70],"this":[71],"work,":[72],"we":[73],"propose":[74],"a":[75,95,106],"novel":[76],"framework":[77],"that":[78,99,126],"enhances":[79],"using":[82],"consistency":[83],"models,":[84],"enabling":[85],"high-quality":[86],"just":[89],"four":[90],"steps.":[91],"Our":[92],"method":[93,128,144],"introduces":[94],"cycle-consistency":[96],"optimization":[97],"strategy":[98],"significantly":[100],"improves":[101],"accuracy":[103],"enables":[105],"controllable":[107],"trade-off":[108],"between":[109],"editability":[110],"content":[112],"preservation.":[113],"We":[114],"achieve":[115],"state-of-the-art":[116],"performance":[117],"across":[118],"various":[119],"tasks":[122],"datasets,":[124],"demonstrating":[125],"our":[127,143],"matches":[129],"or":[130],"surpasses":[131],"full-step":[132],"while":[135],"being":[136],"substantially":[137],"more":[138],"efficient.":[139],"The":[140],"code":[141],"is":[145],"available":[146],"on":[147],"GitHub":[148],"at":[149],"https://github.com/ControlGenAI/Inverse-and-Edit.":[150]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
