{"id":"https://openalex.org/W7160329716","doi":"https://doi.org/10.1109/wacv61042.2026.00445","title":"HiGlassRM: Learning to Remove High-prescription Glasses via Synthetic Dataset Generation","display_name":"HiGlassRM: Learning to Remove High-prescription Glasses via Synthetic Dataset Generation","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160329716","doi":"https://doi.org/10.1109/wacv61042.2026.00445"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00445","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/A5038468577","display_name":"Sebin Lee","orcid":"https://orcid.org/0000-0002-8927-0319"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sebin Lee","raw_affiliation_strings":["Soongsil University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soongsil University","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135356530","display_name":"Heewon Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heewon Kim","raw_affiliation_strings":["Soongsil University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soongsil University","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I141371507"],"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":"4577","last_page":"4586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.11869999766349792,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11212","display_name":"Cultural Heritage Materials Analysis","score":0.11869999766349792,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11672","display_name":"Recycling and utilization of industrial and municipal waste in materials production","score":0.11810000240802765,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10491","display_name":"Enhanced Oil Recovery Techniques","score":0.05820000171661377,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/feature","display_name":"Feature (linguistics)","score":0.3034999966621399},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2563999891281128},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.2506999969482422},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.2443999946117401},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.24079999327659607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5386999845504761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47380000352859497},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27059999108314514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2506999969482422},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2443999946117401},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.24079999327659607},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.23430000245571136},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.23160000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00445","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00445","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":28,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2062144405","https://openalex.org/W2139117675","https://openalex.org/W2145526234","https://openalex.org/W2166060713","https://openalex.org/W2805258252","https://openalex.org/W2866634454","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963052201","https://openalex.org/W2963073614","https://openalex.org/W2963120918","https://openalex.org/W2963372104","https://openalex.org/W2963626105","https://openalex.org/W2963767194","https://openalex.org/W2963870144","https://openalex.org/W3034371424","https://openalex.org/W3034600949","https://openalex.org/W3035574324","https://openalex.org/W3096732792","https://openalex.org/W3174807077","https://openalex.org/W3176663332","https://openalex.org/W3212516020","https://openalex.org/W4214926101","https://openalex.org/W4225672218","https://openalex.org/W4312497550","https://openalex.org/W4312776550","https://openalex.org/W4394597120"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"eyeglass":[1,113],"removal":[2],"methods":[3],"can":[4],"handle":[5],"frames":[6],"and":[7,70,86,98],"shadows":[8],"but":[9],"fail":[10],"to":[11,61,111],"correct":[12],"lens-induced":[13],"geometric":[14,100],"distortions,":[15],"as":[16],"public":[17],"datasets":[18],"lack":[19],"the":[20,28,31],"necessary":[21],"supervision.":[22],"To":[23],"address":[24],"this,":[25],"we":[26],"introduce":[27],"HiGlass":[29],"Dataset,":[30],"first":[32],"large-scale":[33],"synthetic":[34,69],"dataset":[35],"providing":[36],"explicit":[37],"flow-based":[38],"supervision":[39],"for":[40],"refractive":[41],"warping.":[42],"We":[43],"also":[44],"propose":[45],"Hi-GlassRM,":[46],"a":[47,53,58],"novel":[48],"pipeline":[49],"whose":[50],"core":[51],"is":[52,109],"network":[54],"that":[55,74,95],"explicitly":[56,96],"estimates":[57],"displacement":[59],"flowmap":[60,103],"de-warp":[62],"distorted":[63],"facial":[64],"geometry.":[65],"Experiments":[66],"on":[67,79],"both":[68],"real":[71],"images":[72],"show":[73],"this":[75],"flowmap-centric":[76],"approach,":[77],"trained":[78],"our":[80],"data,":[81],"significantly":[82],"improves":[83],"identity":[84],"preservation":[85],"perceptual":[87],"quality":[88],"over":[89],"existing":[90],"methods.":[91],"Our":[92],"work":[93],"demonstrates":[94],"modeling":[97],"correcting":[99],"distortion":[101],"via":[102],"estimation,":[104],"enabled":[105],"by":[106],"targeted":[107],"supervision,":[108],"key":[110],"faithful":[112],"removal.":[114],"Project":[115],"page:":[116],"https://higlassrm.github.io/":[117]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-05-06T00:00:00"}
