{"id":"https://openalex.org/W7160422672","doi":"https://doi.org/10.48550/arxiv.2605.04017","title":"Precomputed Lens Transport Maps","display_name":"Precomputed Lens Transport Maps","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7160422672","doi":"https://doi.org/10.48550/arxiv.2605.04017"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.04017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04017","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.04017","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135521397","display_name":"Yang \u9633 Chen \u9648","orcid":"https://orcid.org/0000-0002-4753-2798"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025672415","display_name":"Xiaochun Tong","orcid":"https://orcid.org/0009-0009-3905-1589"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tong, Xiaochun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135462105","display_name":"Afet Abzar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abzar, Afet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018493903","display_name":"Leo Hanxu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanxu, Leo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135435443","display_name":"Matthew Avolio","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Avolio, Matthew","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040844821","display_name":"Toshiya Hachisuka","orcid":"https://orcid.org/0000-0003-0284-3776"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hachisuka, Toshiya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"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/T12452","display_name":"Electrowetting and Microfluidic Technologies","score":0.26600000262260437,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12452","display_name":"Electrowetting and Microfluidic Technologies","score":0.26600000262260437,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11517","display_name":"Advanced optical system design","score":0.22789999842643738,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.18490000069141388,"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/lens","display_name":"Lens (geology)","score":0.6388000249862671},{"id":"https://openalex.org/keywords/chromatic-aberration","display_name":"Chromatic aberration","score":0.6035000085830688},{"id":"https://openalex.org/keywords/pinhole","display_name":"Pinhole (optics)","score":0.5892000198364258},{"id":"https://openalex.org/keywords/fresnel-lens","display_name":"Fresnel lens","score":0.5740000009536743},{"id":"https://openalex.org/keywords/ray-tracing","display_name":"Ray tracing (physics)","score":0.5683000087738037},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5024999976158142},{"id":"https://openalex.org/keywords/chromatic-scale","display_name":"Chromatic scale","score":0.4620000123977661},{"id":"https://openalex.org/keywords/fresnel-zone","display_name":"Fresnel zone","score":0.4352000057697296}],"concepts":[{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.6388000249862671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6248000264167786},{"id":"https://openalex.org/C87367554","wikidata":"https://www.wikidata.org/wiki/Q1087688","display_name":"Chromatic aberration","level":3,"score":0.6035000085830688},{"id":"https://openalex.org/C2776700484","wikidata":"https://www.wikidata.org/wiki/Q15832623","display_name":"Pinhole (optics)","level":2,"score":0.5892000198364258},{"id":"https://openalex.org/C2781358867","wikidata":"https://www.wikidata.org/wiki/Q14672","display_name":"Fresnel lens","level":3,"score":0.5740000009536743},{"id":"https://openalex.org/C121483023","wikidata":"https://www.wikidata.org/wiki/Q7298343","display_name":"Ray tracing (physics)","level":2,"score":0.5683000087738037},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5024999976158142},{"id":"https://openalex.org/C196956537","wikidata":"https://www.wikidata.org/wiki/Q202021","display_name":"Chromatic scale","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.45879998803138733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4352000057697296},{"id":"https://openalex.org/C200292535","wikidata":"https://www.wikidata.org/wiki/Q1455719","display_name":"Fresnel zone","level":3,"score":0.4352000057697296},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.42910000681877136},{"id":"https://openalex.org/C166453422","wikidata":"https://www.wikidata.org/wiki/Q1455717","display_name":"Fresnel number","level":3,"score":0.39169999957084656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33570000529289246},{"id":"https://openalex.org/C191677583","wikidata":"https://www.wikidata.org/wiki/Q580253","display_name":"Fresnel integral","level":4,"score":0.3190000057220459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30799999833106995},{"id":"https://openalex.org/C50282329","wikidata":"https://www.wikidata.org/wiki/Q2286895","display_name":"Fresnel diffraction","level":3,"score":0.27480000257492065},{"id":"https://openalex.org/C2779132550","wikidata":"https://www.wikidata.org/wiki/Q639","display_name":"Optical aberration","level":3,"score":0.26589998602867126},{"id":"https://openalex.org/C110277352","wikidata":"https://www.wikidata.org/wiki/Q467980","display_name":"Geometrical optics","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C135000090","wikidata":"https://www.wikidata.org/wiki/Q7520802","display_name":"Simple lens","level":4,"score":0.25760000944137573}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.04017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04017","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.04017","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.04017","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":"article"},"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":{"Accurate":[0],"real-time":[1],"simulation":[2,106],"of":[3,13,20,70,107,206],"lens":[4,38,60,111,117,169,184,192,226],"optics":[5],"remains":[6],"challenging":[7],"due":[8],"to":[9,87,93,166],"the":[10,18,68],"computational":[11,234],"expense":[12],"full":[14],"ray":[15,212],"tracing":[16],"and":[17,28,43,55,73,110,161,191,202,220,233],"limitations":[19],"existing":[21],"approximations.":[22],"The":[23],"commonly":[24],"used":[25],"pinhole":[26],"model":[27,30,118,154,181],"thin-lens":[29],"ignore":[31],"many":[32],"optical":[33],"effects":[34,185],"seen":[35],"in":[36,138,158,228],"real-world":[37],"systems":[39,176,227],"such":[40,186],"as":[41,84,130,187,217],"distortion":[42],"chromatic":[44,79,188],"aberration.":[45],"Prior":[46,64],"polynomial":[47,159,200],"models":[48,66,96,160],"approximate":[49],"a":[50,59,88,115,135,139,218],"mapping":[51,72],"between":[52],"incident":[53],"rays":[54,57,129],"exitant":[56],"through":[58],"system":[61],"per":[62],"wavelength.":[63],"neural":[65,90],"improve":[67],"accuracy":[69,150,198,232],"this":[71],"also":[74],"capture":[75],"wavelength-dependent":[76],"variations":[77],"(e.g.,":[78],"aberration)":[80],"by":[81],"integrating":[82],"wavelength":[83],"an":[85,204],"input":[86],"unified":[89],"network.":[91],"Common":[92],"those":[94],"prior":[95],"is":[97,203],"that":[98,119],"they":[99],"omit":[100],"Fresnel":[101,124,164],"intensity":[102,125],"throughput,":[103],"precluding":[104],"accurate":[105,168],"internal":[108],"reflections":[109],"flares.":[112,193],"We":[113],"introduce":[114],"precomputed":[116],"combines":[120],"wavelength-aware":[121],"inputs":[122],"with":[123],"outputs.":[126],"By":[127],"classifying":[128],"valid":[131],"or":[132],"occluded":[133],"via":[134],"binary":[136],"mask":[137],"factorized":[140],"representation,":[141],"our":[142,180],"method":[143,195,215],"focuses":[144],"regression":[145],"on":[146],"unblocked":[147],"rays,":[148],"improving":[149],"near":[151],"discontinuities.":[152],"Our":[153,194,214],"avoids":[155],"per-wavelength":[156],"approximations":[157],"explicitly":[162],"predicts":[163],"coefficients":[165],"enable":[167],"simulation.":[170],"Designed":[171],"for":[172,223],"static,":[173],"rotationally":[174],"symmetric":[175],"under":[177],"geometric":[178],"optics,":[179],"captures":[182],"various":[183],"aberration,":[189],"coma,":[190],"achieves":[196],"improved":[197],"over":[199],"baselines":[201],"order":[205],"magnitude":[207],"faster":[208],"than":[209],"brute":[210],"force":[211],"tracing.":[213],"serves":[216],"practical":[219],"scalable":[221],"approach":[222],"simulating":[224],"complex":[225],"applications":[229],"requiring":[230],"both":[231],"efficiency.":[235]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-07T00:00:00"}