{"id":"https://openalex.org/W7135235581","doi":"https://doi.org/10.48550/arxiv.2603.12083","title":"Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis","display_name":"Towards Universal Computational Aberration Correction in Photographic Cameras: A Comprehensive Benchmark Analysis","publication_year":2026,"publication_date":"2026-03-12","ids":{"openalex":"https://openalex.org/W7135235581","doi":"https://doi.org/10.48550/arxiv.2603.12083"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.12083","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12083","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.12083","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073072707","display_name":"Xiaolong Qian","orcid":"https://orcid.org/0000-0002-2821-6108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian, Xiaolong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129034616","display_name":"Qi Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128984523","display_name":"Yao Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128942537","display_name":"Lei Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129090950","display_name":"Zhonghua Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi, Zhonghua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129058948","display_name":"Kailun Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Kailun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129045560","display_name":"Luc Van Gool","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Van Gool, Luc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129081186","display_name":"Kaiwei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Kaiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T11019","display_name":"Image Enhancement Techniques","score":0.31839999556541443,"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/T11019","display_name":"Image Enhancement Techniques","score":0.31839999556541443,"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/T11517","display_name":"Advanced optical system design","score":0.10980000346899033,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.07339999824762344,"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/benchmark","display_name":"Benchmark (surveying)","score":0.6696000099182129},{"id":"https://openalex.org/keywords/zemax","display_name":"Zemax","score":0.5285000205039978},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5189999938011169},{"id":"https://openalex.org/keywords/computational-photography","display_name":"Computational photography","score":0.5005999803543091},{"id":"https://openalex.org/keywords/photography","display_name":"Photography","score":0.4431000053882599},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.35679998993873596}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6736999750137329},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6696000099182129},{"id":"https://openalex.org/C2778646699","wikidata":"https://www.wikidata.org/wiki/Q3085771","display_name":"Zemax","level":3,"score":0.5285000205039978},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5189999938011169},{"id":"https://openalex.org/C146044194","wikidata":"https://www.wikidata.org/wiki/Q5157334","display_name":"Computational photography","level":4,"score":0.5005999803543091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47360000014305115},{"id":"https://openalex.org/C119657128","wikidata":"https://www.wikidata.org/wiki/Q11633","display_name":"Photography","level":2,"score":0.4431000053882599},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3424000144004822},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3264999985694885},{"id":"https://openalex.org/C92630104","wikidata":"https://www.wikidata.org/wiki/Q4115103","display_name":"Optical imaging","level":2,"score":0.32519999146461487},{"id":"https://openalex.org/C121535716","wikidata":"https://www.wikidata.org/wiki/Q340600","display_name":"Achromatic lens","level":2,"score":0.3125999867916107},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2865999937057495},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.26840001344680786},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.12083","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12083","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.12083","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.12083","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.45847034454345703}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Prevalent":[0],"Computational":[1],"Aberration":[2],"Correction":[3],"(CAC)":[4],"methods":[5,83],"are":[6,50],"typically":[7],"tailored":[8],"to":[9,14,37,42,57,134,194],"specific":[10,78],"optical":[11,71,121,146],"systems,":[12],"leading":[13],"poor":[15],"generalization":[16],"and":[17,84,98,104,148,167,177,189,197,206],"labor-intensive":[18],"re-training":[19],"for":[20,115,201],"new":[21],"lenses.":[22],"Developing":[23],"CAC":[24,82,105,140,175],"paradigms":[25],"capable":[26],"of":[27,60,70,139,145],"generalizing":[28],"across":[29],"diverse":[30],"photographic":[31,116],"lenses":[32],"offers":[33],"a":[34,61,66,112,131],"promising":[35],"solution":[36],"these":[38,86],"challenges.":[39],"However,":[40],"efforts":[41],"achieve":[43],"such":[44],"cross-lens":[45],"universality":[46],"within":[47],"consumer":[48],"photography":[49],"still":[51],"in":[52],"their":[53,89,180],"early":[54],"stages":[55],"due":[56],"the":[58,137,199],"lack":[59],"comprehensive":[62,96],"benchmark":[63,114],"that":[64,171,185],"encompasses":[65],"sufficiently":[67],"wide":[68],"range":[69],"aberrations.":[72],"Furthermore,":[73],"it":[74],"remains":[75],"unclear":[76],"which":[77],"factors":[79,87,161],"influence":[80,174],"existing":[81],"how":[85],"affect":[88],"performance.":[90],"In":[91],"this":[92],"paper,":[93],"we":[94,157],"present":[95],"experiments":[97],"evaluations":[99],"involving":[100],"24":[101],"image":[102],"restoration":[103],"algorithms,":[106],"utilizing":[107],"our":[108,154,186],"newly":[109],"proposed":[110],"UniCAC,":[111],"large-scale":[113],"cameras":[117],"constructed":[118],"via":[119],"automatic":[120],"design.":[122],"The":[123],"Optical":[124],"Degradation":[125],"Evaluator":[126],"(ODE)":[127],"is":[128],"introduced":[129],"as":[130],"novel":[132],"framework":[133],"objectively":[135],"assess":[136],"difficulty":[138],"tasks,":[141],"offering":[142],"credible":[143],"quantification":[144],"aberrations":[147],"enabling":[149],"reliable":[150],"evaluation.":[151],"Drawing":[152],"on":[153],"comparative":[155],"analysis,":[156],"identify":[158],"three":[159],"key":[160],"--":[162,170],"prior":[163],"utilization,":[164],"network":[165],"architecture,":[166],"training":[168],"strategy":[169],"most":[172],"significantly":[173],"performance,":[176],"further":[178],"investigate":[179],"respective":[181],"effects.":[182],"We":[183],"believe":[184],"benchmark,":[187],"dataset,":[188],"observations":[190],"contribute":[191],"foundational":[192],"insights":[193],"related":[195],"areas":[196],"lay":[198],"groundwork":[200],"future":[202],"investigations.":[203],"Benchmarks,":[204],"codes,":[205],"Zemax":[207],"files":[208],"will":[209],"be":[210],"available":[211],"at":[212],"https://github.com/XiaolongQian/UniCAC.":[213]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-14T00:00:00"}