{"id":"https://openalex.org/W4285984513","doi":"https://doi.org/10.1145/3528233.3530714","title":"Reconstructing Translucent Objects using Differentiable Rendering","display_name":"Reconstructing Translucent Objects using Differentiable Rendering","publication_year":2022,"publication_date":"2022-07-20","ids":{"openalex":"https://openalex.org/W4285984513","doi":"https://doi.org/10.1145/3528233.3530714"},"language":"en","primary_location":{"id":"doi:10.1145/3528233.3530714","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3528233.3530714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings","raw_type":"proceedings-article"},"type":"article","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/A5103265721","display_name":"Xi Deng","orcid":"https://orcid.org/0009-0004-7320-8125"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xi Deng","raw_affiliation_strings":["Cornell University, United States of America"],"affiliations":[{"raw_affiliation_string":"Cornell University, United States of America","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061806060","display_name":"Fujun Luan","orcid":"https://orcid.org/0000-0001-5926-6266"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fujun Luan","raw_affiliation_strings":["Adobe Research, United States of America"],"affiliations":[{"raw_affiliation_string":"Adobe Research, United States of America","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091204569","display_name":"Bruce Walter","orcid":"https://orcid.org/0000-0003-2619-6120"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Walter","raw_affiliation_strings":["Cornell University, United States of America"],"affiliations":[{"raw_affiliation_string":"Cornell University, United States of America","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087263986","display_name":"Kavita Bala","orcid":"https://orcid.org/0000-0001-9761-6503"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kavita Bala","raw_affiliation_strings":["Cornell University, United States of America"],"affiliations":[{"raw_affiliation_string":"Cornell University, United States of America","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031672248","display_name":"Steve Marschner","orcid":"https://orcid.org/0000-0001-9810-0306"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steve Marschner","raw_affiliation_strings":["Cornell University, United States of America"],"affiliations":[{"raw_affiliation_string":"Cornell University, United States of America","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103265721"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":9.1627,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.98997247,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9975000023841858,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.7865762710571289},{"id":"https://openalex.org/keywords/global-illumination","display_name":"Global illumination","score":0.6667659282684326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6592710614204407},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.5430211424827576},{"id":"https://openalex.org/keywords/classification-of-discontinuities","display_name":"Classification of discontinuities","score":0.47767549753189087},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44815242290496826},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4362727701663971},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43402761220932007},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4333682656288147},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4111480414867401},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26062077283859253}],"concepts":[{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.7865762710571289},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.6667659282684326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6592710614204407},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.5430211424827576},{"id":"https://openalex.org/C15627037","wikidata":"https://www.wikidata.org/wiki/Q541961","display_name":"Classification of discontinuities","level":2,"score":0.47767549753189087},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44815242290496826},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4362727701663971},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43402761220932007},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4333682656288147},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4111480414867401},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26062077283859253},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3528233.3530714","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3528233.3530714","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G7364787923","display_name":null,"funder_award_id":"1704540","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1557590941","https://openalex.org/W1968660742","https://openalex.org/W1980601110","https://openalex.org/W1982402525","https://openalex.org/W1984786105","https://openalex.org/W1992290308","https://openalex.org/W1994808961","https://openalex.org/W2000093282","https://openalex.org/W2002644597","https://openalex.org/W2003526930","https://openalex.org/W2006907428","https://openalex.org/W2008090117","https://openalex.org/W2027480687","https://openalex.org/W2029606034","https://openalex.org/W2032433496","https://openalex.org/W2039882359","https://openalex.org/W2068105972","https://openalex.org/W2075440710","https://openalex.org/W2094478046","https://openalex.org/W2112340554","https://openalex.org/W2120448006","https://openalex.org/W2121934905","https://openalex.org/W2126733192","https://openalex.org/W2142380402","https://openalex.org/W2198480319","https://openalex.org/W2261730354","https://openalex.org/W2518945384","https://openalex.org/W2555608602","https://openalex.org/W2770723990","https://openalex.org/W2887168221","https://openalex.org/W2902375431","https://openalex.org/W2902812770","https://openalex.org/W2903093723","https://openalex.org/W2952748422","https://openalex.org/W2958246682","https://openalex.org/W2963876827","https://openalex.org/W2985626319","https://openalex.org/W2986023562","https://openalex.org/W2986860185","https://openalex.org/W3032941892","https://openalex.org/W3048668559","https://openalex.org/W3048916779","https://openalex.org/W3106721722","https://openalex.org/W3138161122","https://openalex.org/W3183400282","https://openalex.org/W3183537987","https://openalex.org/W3184289337","https://openalex.org/W3185113610","https://openalex.org/W3185668329","https://openalex.org/W4200036674","https://openalex.org/W4200257514","https://openalex.org/W4200468038","https://openalex.org/W4256532060","https://openalex.org/W6804915693","https://openalex.org/W6805059763"],"related_works":["https://openalex.org/W2397912953","https://openalex.org/W2124439461","https://openalex.org/W2099004500","https://openalex.org/W4388994528","https://openalex.org/W2077708435","https://openalex.org/W4376115546","https://openalex.org/W1992884771","https://openalex.org/W4281488350","https://openalex.org/W2093369918","https://openalex.org/W4365460447"],"abstract_inverted_index":{"Inverse":[0],"rendering":[1,42,77],"is":[2],"a":[3,27,91,101,104,112,141,215],"powerful":[4],"approach":[5,82],"to":[6,16,43,159,225],"modeling":[7],"objects":[8,222],"from":[9,68,103],"photographs,":[10],"and":[11,47,70,93,167,170,195,219],"we":[12,35,139],"extend":[13,36],"previous":[14,207,226],"techniques":[15],"handle":[17],"translucent":[18,87,221],"materials":[19,88],"that":[20,66,83,228],"exhibit":[21],"subsurface":[22,48],"scattering.":[23],"Representing":[24],"translucency":[25],"using":[26,179],"heterogeneous":[28,86],"bidirectional":[29],"scattering-surface":[30],"reflectance":[31],"distribution":[32],"function":[33],"(BSSRDF),":[34],"the":[37,119,127,130,136,146,160,175,184,197],"framework":[38,114],"of":[39,54,96,107,129,162,174,199,217],"path-space":[40],"differentiable":[41,76],"accommodate":[44],"both":[45],"surface":[46,231],"reflection.":[49,232],"This":[50,150],"introduces":[51],"new":[52,57],"types":[53],"paths":[55],"requiring":[56],"methods":[58,227],"for":[59,118,144,164],"sampling":[60],"moving":[61,71],"discontinuities":[62],"in":[63,79,111,126,155,183],"material":[64],"space":[65],"arise":[67],"visibility":[69],"geometry.":[72,120],"We":[73,186,209],"use":[74],"this":[75],"method":[78,143],"an":[80,97],"end-to-end":[81],"jointly":[84],"recovers":[85],"(represented":[89,99],"by":[90,100,135,190,202],"BSSRDF)":[92],"detailed":[94],"geometry":[95],"object":[98],"mesh)":[102],"sparse":[105],"set":[106,216],"measured":[108],"2D":[109],"images":[110],"coarse-to-fine":[113],"incorporating":[115],"Laplacian":[116],"preconditioning":[117],"To":[121],"efficiently":[122,151],"optimize":[123],"our":[124,188,200],"models":[125],"presence":[128],"Monte":[131],"Carlo":[132],"noise":[133],"introduced":[134],"BSSRDF":[137],"integral,":[138],"introduce":[140],"dual-buffer":[142],"evaluating":[145],"L2":[147],"image":[148,165],"loss.":[149],"avoids":[152],"potential":[153],"bias":[154],"gradient":[156],"estimation":[157],"due":[158],"correlation":[161],"estimates":[163],"pixels":[166],"their":[168],"derivatives":[169,189],"enables":[171],"correct":[172],"convergence":[173],"optimizer":[176],"even":[177],"when":[178],"low":[180],"sample":[181],"counts":[182],"renderer.":[185],"validate":[187],"comparing":[191,203],"against":[192],"finite":[193],"differences":[194],"demonstrate":[196],"effectiveness":[198],"technique":[201],"inverse-rendering":[204],"performance":[205],"with":[206],"methods.":[208],"show":[210],"superior":[211],"reconstruction":[212],"quality":[213],"on":[214],"synthetic":[218],"real-world":[220],"as":[223],"compared":[224],"model":[229],"only":[230]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
