{"id":"https://openalex.org/W7160273960","doi":"https://doi.org/10.1109/wacv61042.2026.00216","title":"Imitating the Functionality of Image-to-Image Models Using a Single Example","display_name":"Imitating the Functionality of Image-to-Image Models Using a Single Example","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160273960","doi":"https://doi.org/10.1109/wacv61042.2026.00216"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00216","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":["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/A5019272214","display_name":"Nurit Spingarn","orcid":null},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Nurit Spingarn","raw_affiliation_strings":["Technion,Haifa,Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technion,Haifa,Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058178036","display_name":"Tomer Michaeli","orcid":"https://orcid.org/0000-0003-0525-8054"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tomer Michaeli","raw_affiliation_strings":["Technion,Haifa,Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technion,Haifa,Israel","institution_ids":["https://openalex.org/I174306211"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I174306211"],"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":"2178","last_page":"2187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.14020000398159027,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.14020000398159027,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.08980000019073486,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.07209999859333038,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/set","display_name":"Set (abstract data type)","score":0.2847000062465668},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.25999999046325684},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.24220000207424164},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.22920000553131104},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.22840000689029694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.542900025844574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.325300008058548},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2476000040769577},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.24220000207424164},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.22920000553131104},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22840000689029694},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.22840000689029694},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.22579999268054962}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00216","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00216","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1930824406","https://openalex.org/W2031462776","https://openalex.org/W2121927366","https://openalex.org/W2131686571","https://openalex.org/W2140196014","https://openalex.org/W2183341477","https://openalex.org/W2294370754","https://openalex.org/W2508457857","https://openalex.org/W2559264300","https://openalex.org/W2560533888","https://openalex.org/W2603766943","https://openalex.org/W2623427976","https://openalex.org/W2740982616","https://openalex.org/W2741137940","https://openalex.org/W2808195004","https://openalex.org/W2962793481","https://openalex.org/W2963037989","https://openalex.org/W2963303354","https://openalex.org/W2963312584","https://openalex.org/W2964016283","https://openalex.org/W3046334363","https://openalex.org/W3098491829","https://openalex.org/W3109494165","https://openalex.org/W3133782060","https://openalex.org/W3156859314","https://openalex.org/W3191728126","https://openalex.org/W3203276284","https://openalex.org/W3203631022","https://openalex.org/W4225538054","https://openalex.org/W4225672218","https://openalex.org/W4285392824","https://openalex.org/W4312343407","https://openalex.org/W4312812783","https://openalex.org/W4367368092","https://openalex.org/W4386072376","https://openalex.org/W4390873232"],"related_works":[],"abstract_inverted_index":{"We":[0,17,113],"study":[1,118],"the":[2,6,23,37,44,55,77,99,131,145],"possibility":[3],"of":[4,8,57,123],"imitating":[5],"functionality":[7,136],"an":[9,82,115],"image-to-image":[10],"translation":[11],"model":[12,24,38,124],"by":[13],"observing":[14],"input-output":[15,74],"pairs.":[16],"focus":[18],"on":[19,76,144],"cases":[20],"where":[21],"training":[22,31],"from":[25],"scratch":[26],"is":[27,40,43],"impossible,":[28],"either":[29],"because":[30,36],"data":[32],"are":[33],"unavailable":[34],"or":[35,80],"architecture":[39],"unknown.":[41],"This":[42],"case,":[45],"for":[46,51,95,147],"example,":[47],"with":[48],"commercial":[49],"models":[50,59],"biological":[52],"applications.":[53],"Since":[54],"development":[56],"these":[58],"requires":[60],"large":[61],"investments,":[62],"their":[63],"owners":[64],"commonly":[65],"keep":[66],"them":[67],"confidential":[68],"and":[69,102,127,138],"reveal":[70],"only":[71],"a":[72,90,109,120,140],"few":[73],"examples":[75],"company\u2019s":[78],"website":[79],"in":[81],"academic":[83],"paper.":[84],"Surprisingly,":[85],"we":[86],"find":[87],"that":[88,103],"even":[89],"single":[91],"example":[92],"typically":[93],"suffices":[94],"learning":[96],"to":[97,129,135],"imitate":[98],"model\u2019s":[100],"functionality,":[101],"this":[104,148],"can":[105],"be":[106],"achieved":[107],"using":[108],"simple":[110],"distillation":[111],"approach.":[112],"present":[114],"extensive":[116],"ablation":[117],"encompassing":[119],"wide":[121],"variety":[122],"architectures,":[125],"datasets":[126],"tasks,":[128],"characterize":[130],"factors":[132],"affecting":[133],"vulnerability":[134],"imitation,":[137],"provide":[139],"preliminary":[141],"theoretical":[142],"discussion":[143],"reasons":[146],"unwanted":[149],"behavior.":[150]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-06T00:00:00"}
