{"id":"https://openalex.org/W4226064531","doi":"https://doi.org/10.2352/ei.2022.34.10.ipas-383","title":"Hair color digitization through imaging and deep inverse graphics","display_name":"Hair color digitization through imaging and deep inverse graphics","publication_year":2022,"publication_date":"2022-01-16","ids":{"openalex":"https://openalex.org/W4226064531","doi":"https://doi.org/10.2352/ei.2022.34.10.ipas-383"},"language":"en","primary_location":{"id":"doi:10.2352/ei.2022.34.10.ipas-383","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.10.ipas-383","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/10/IPAS-383","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/10/IPAS-383","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072791873","display_name":"Robin Kips","orcid":"https://orcid.org/0000-0003-0231-6415"},"institutions":[{"id":"https://openalex.org/I4210106959","display_name":"Alfact Innovation (France)","ror":"https://ror.org/01b03vk69","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210106959"]},{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Robin Kips","raw_affiliation_strings":["L'Or al Research and Innovation, France","LTCI, T l com Paris, Institut Polytechnique de Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L'Or al Research and Innovation, France","institution_ids":["https://openalex.org/I4210106959"]},{"raw_affiliation_string":"LTCI, T l com Paris, Institut Polytechnique de Paris, France","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056366095","display_name":"Panagiotis\u2010Alexandros Bokaris","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106959","display_name":"Alfact Innovation (France)","ror":"https://ror.org/01b03vk69","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210106959"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Panagiotis-Alexandros Bokaris","raw_affiliation_strings":["L'Or al Research and Innovation, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L'Or al Research and Innovation, France","institution_ids":["https://openalex.org/I4210106959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051111217","display_name":"Marc de Perrot","orcid":"https://orcid.org/0000-0003-2000-9427"},"institutions":[{"id":"https://openalex.org/I4210106959","display_name":"Alfact Innovation (France)","ror":"https://ror.org/01b03vk69","country_code":"FR","type":"company","lineage":["https://openalex.org/I4210106959"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Matthieu Perrot","raw_affiliation_strings":["L'Or al Research and Innovation, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"L'Or al Research and Innovation, France","institution_ids":["https://openalex.org/I4210106959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091599424","display_name":"Pietro Gori","orcid":"https://orcid.org/0000-0003-4510-7859"},"institutions":[{"id":"https://openalex.org/I4210165912","display_name":"Laboratoire Traitement et Communication de l\u2019Information","ror":"https://ror.org/057er4c39","country_code":"FR","type":"facility","lineage":["https://openalex.org/I12356871","https://openalex.org/I4210145102","https://openalex.org/I4210145102","https://openalex.org/I4210165912"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pietro Gori","raw_affiliation_strings":["LTCI, T l com Paris, Institut Polytechnique de Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LTCI, T l com Paris, Institut Polytechnique de Paris, France","institution_ids":["https://openalex.org/I4210165912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088407901","display_name":"Isabelle Bloch","orcid":"https://orcid.org/0000-0002-6984-1532"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I51101395","display_name":"Universit\u00e9 Paris 1 Panth\u00e9on-Sorbonne","ror":"https://ror.org/002t25c44","country_code":"FR","type":"education","lineage":["https://openalex.org/I51101395"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Isabelle Bloch","raw_affiliation_strings":["Sorbonne Universit , CNRS, LIP6, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sorbonne Universit , CNRS, LIP6, Paris, France","institution_ids":["https://openalex.org/I39804081","https://openalex.org/I51101395","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072791873"],"corresponding_institution_ids":["https://openalex.org/I4210106959","https://openalex.org/I4210165912"],"apc_list":null,"apc_paid":null,"fwci":0.3648,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.64427233,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"34","issue":"10","first_page":"383","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.5717999935150146,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.5717999935150146,"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"}},{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.09160000085830688,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.07169999927282333,"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/rendering","display_name":"Rendering (computer graphics)","score":0.7573140859603882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7382113337516785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6773754358291626},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.5976243615150452},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.5923241972923279},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5703965425491333},{"id":"https://openalex.org/keywords/graphics-pipeline","display_name":"Graphics pipeline","score":0.5510639548301697},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4972098171710968},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.45820996165275574},{"id":"https://openalex.org/keywords/path-tracing","display_name":"Path tracing","score":0.43390628695487976},{"id":"https://openalex.org/keywords/real-time-rendering","display_name":"Real-time rendering","score":0.4327056407928467},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.42653921246528625},{"id":"https://openalex.org/keywords/3d-computer-graphics","display_name":"3D computer graphics","score":0.178482323884964}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7573140859603882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7382113337516785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6773754358291626},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.5976243615150452},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.5923241972923279},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5703965425491333},{"id":"https://openalex.org/C173552908","wikidata":"https://www.wikidata.org/wiki/Q1366289","display_name":"Graphics pipeline","level":4,"score":0.5510639548301697},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4972098171710968},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.45820996165275574},{"id":"https://openalex.org/C110541219","wikidata":"https://www.wikidata.org/wiki/Q72948","display_name":"Path tracing","level":3,"score":0.43390628695487976},{"id":"https://openalex.org/C116921373","wikidata":"https://www.wikidata.org/wiki/Q2816483","display_name":"Real-time rendering","level":3,"score":0.4327056407928467},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.42653921246528625},{"id":"https://openalex.org/C66629338","wikidata":"https://www.wikidata.org/wiki/Q189177","display_name":"3D computer graphics","level":3,"score":0.178482323884964}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2352/ei.2022.34.10.ipas-383","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.10.ipas-383","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/10/IPAS-383","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-03561209v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-03561209","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electronic Imaging (EI), Jan 2022, Virtual, France","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.2352/ei.2022.34.10.ipas-383","is_oa":true,"landing_page_url":"https://doi.org/10.2352/ei.2022.34.10.ipas-383","pdf_url":"https://library.imaging.org/admin/apis/public/api/ist/website/downloadArticle/ei/34/10/IPAS-383","source":{"id":"https://openalex.org/S4210227276","display_name":"Electronic Imaging","issn_l":"2470-1173","issn":["2470-1173"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226064531.pdf","grobid_xml":"https://content.openalex.org/works/W4226064531.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1580389772","https://openalex.org/W1979725963","https://openalex.org/W1997095746","https://openalex.org/W2006126326","https://openalex.org/W2031008622","https://openalex.org/W2035402439","https://openalex.org/W2769666294","https://openalex.org/W2783879794","https://openalex.org/W2902812770","https://openalex.org/W3032941892","https://openalex.org/W3107512956","https://openalex.org/W3163476647"],"related_works":["https://openalex.org/W2750716212","https://openalex.org/W1971040669","https://openalex.org/W1554690203","https://openalex.org/W2040179232","https://openalex.org/W2142351186","https://openalex.org/W4287112921","https://openalex.org/W2521293809","https://openalex.org/W2033623701","https://openalex.org/W24753294","https://openalex.org/W2172118889"],"abstract_inverted_index":{"Hair":[0],"appearance":[1,71,114],"is":[2,31,154,158],"a":[3,23,28,32,73,100,116,127,164,168],"complex":[4],"phenomenon":[5],"due":[6],"to":[7,45,80,185,189],"hair":[8,17,25,52,57,75,81,104,118,125,132,140,198,217],"geometry":[9],"and":[10,39,91,120,171,204,207,215],"how":[11],"the":[12,47,70,112,145,161,194],"light":[13],"bounces":[14],"on":[15,56,85,151,160,177,201],"different":[16,131],"fibers.":[18],"For":[19],"this":[20],"reason,":[21],"reproducing":[22],"specific":[24],"color":[26,105,113],"in":[27,42,88],"rendering":[29,138,153,188],"environment":[30],"challenging":[33],"task":[34],"that":[35,209],"requires":[36,142],"manual":[37],"work":[38],"expert":[40],"knowledge":[41],"computer":[43],"graphics":[44,90,148,174],"tune":[46],"result":[48],"visually.":[49],"While":[50],"current":[51],"capture":[53,93,214],"methods":[54],"focus":[55],"shape":[58],"estimation":[59],"many":[60],"applications":[61],"could":[62],"benefit":[63],"from":[64,77],"an":[65,172],"automated":[66],"method":[67,102,157,200],"for":[68,103],"capturing":[69,111],"of":[72,115,124,163,196],"physical":[74,117],"sample,":[76],"augmented/virtual":[78],"reality":[79],"dying":[82],"development.":[83],"Building":[84],"recent":[86],"advances":[87],"inverse":[89,147,173],"material":[92],"using":[94],"deep":[95],"neural":[96],"networks,":[97],"we":[98],"introduce":[99],"novel":[101],"digitization.":[106],"Our":[107,156],"proposed":[108],"pipeline":[109],"allows":[110],"sample":[119],"renders":[121],"synthetic":[122,205],"images":[123,141,206],"with":[126],"similar":[128],"appearance,":[129],"simulating":[130],"styles":[133],"and/or":[134],"lighting":[135],"environments.":[136],"Since":[137],"realistic":[139],"path-tracing":[143,169],"rendering,":[144],"conventional":[146],"approach":[149,211],"based":[150,159,176],"differentiable":[152,187],"untractable.":[155],"combination":[162],"controlled":[165],"imaging":[166],"device,":[167],"renderer,":[170],"model":[175],"self-supervised":[178],"machine":[179],"learning,":[180],"which":[181],"does":[182],"not":[183],"require":[184],"use":[186],"be":[190],"trained.":[191],"We":[192],"illustrate":[193],"performance":[195],"our":[197,210],"digitization":[199],"both":[202],"real":[203],"show":[208],"can":[212],"accurately":[213],"render":[216],"color.":[218]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
