{"id":"https://openalex.org/W4412673670","doi":"https://doi.org/10.1145/3731146","title":"Quadric-Based Silhouette Sampling for Differentiable Rendering","display_name":"Quadric-Based Silhouette Sampling for Differentiable Rendering","publication_year":2025,"publication_date":"2025-07-27","ids":{"openalex":"https://openalex.org/W4412673670","doi":"https://doi.org/10.1145/3731146"},"language":"en","primary_location":{"id":"doi:10.1145/3731146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731146","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-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/A5119079187","display_name":"Mariia Soroka","orcid":"https://orcid.org/0009-0005-4138-667X"},"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"]},{"id":"https://openalex.org/I4210094487","display_name":"Intel (Germany)","ror":"https://ror.org/00m2x0g47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210094487"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Mariia Soroka","raw_affiliation_strings":["Cornell University, Ithaca, USA","Intel, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0009-0005-4138-667X","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Intel, Karlsruhe, Germany","institution_ids":["https://openalex.org/I4210094487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076265900","display_name":"Christoph Peters","orcid":"https://orcid.org/0000-0002-3939-6992"},"institutions":[{"id":"https://openalex.org/I4210094487","display_name":"Intel (Germany)","ror":"https://ror.org/00m2x0g47","country_code":"DE","type":"company","lineage":["https://openalex.org/I1343180700","https://openalex.org/I4210094487"]},{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["DE","NL"],"is_corresponding":false,"raw_author_name":"Christoph Peters","raw_affiliation_strings":["Delft University of Technology, Delft, Netherlands","Intel, Karlsruhe, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3939-6992","affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, Netherlands","institution_ids":["https://openalex.org/I98358874"]},{"raw_affiliation_string":"Intel, Karlsruhe, Germany","institution_ids":["https://openalex.org/I4210094487"]}]},{"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, Ithaca, USA"],"raw_orcid":"https://orcid.org/0000-0001-9810-0306","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29970452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":"4","first_page":"1","last_page":"20"},"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":0.9994999766349792,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.8472240567207336},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.8129376173019409},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.6670423746109009},{"id":"https://openalex.org/keywords/quadric","display_name":"Quadric","score":0.5694572925567627},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5694068074226379},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.49668246507644653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4825010299682617},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4676821827888489},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40968939661979675},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.17616498470306396}],"concepts":[{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.8472240567207336},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.8129376173019409},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.6670423746109009},{"id":"https://openalex.org/C2779219049","wikidata":"https://www.wikidata.org/wiki/Q852117","display_name":"Quadric","level":2,"score":0.5694572925567627},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5694068074226379},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.49668246507644653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4825010299682617},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4676821827888489},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40968939661979675},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.17616498470306396}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3731146","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3731146","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7419869593","display_name":"Collaborative Research: HCC: Medium: Neural Materials for Realistic Computer Graphics","funder_award_id":"2212084","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":36,"referenced_works":["https://openalex.org/W1564611446","https://openalex.org/W1975089519","https://openalex.org/W2077278144","https://openalex.org/W2123997651","https://openalex.org/W2138624212","https://openalex.org/W2139572458","https://openalex.org/W2149659501","https://openalex.org/W2295185831","https://openalex.org/W2473283942","https://openalex.org/W2888102725","https://openalex.org/W2902812770","https://openalex.org/W2970625583","https://openalex.org/W2985626319","https://openalex.org/W2986023562","https://openalex.org/W2986860185","https://openalex.org/W3000666251","https://openalex.org/W3048668559","https://openalex.org/W3048916779","https://openalex.org/W3106721722","https://openalex.org/W3109585842","https://openalex.org/W3179788358","https://openalex.org/W3185113610","https://openalex.org/W4200036674","https://openalex.org/W4232325140","https://openalex.org/W4285984513","https://openalex.org/W4286611307","https://openalex.org/W4286615931","https://openalex.org/W4286616163","https://openalex.org/W4311034047","https://openalex.org/W4385318467","https://openalex.org/W4389334925","https://openalex.org/W4389348974","https://openalex.org/W4400018568","https://openalex.org/W4404525437","https://openalex.org/W4404965879","https://openalex.org/W6949488649"],"related_works":["https://openalex.org/W2132866029","https://openalex.org/W291250033","https://openalex.org/W2035757446","https://openalex.org/W3137044537","https://openalex.org/W2008385118","https://openalex.org/W880955280","https://openalex.org/W2106647072","https://openalex.org/W2172753644","https://openalex.org/W2170209930","https://openalex.org/W4246858109"],"abstract_inverted_index":{"Physically":[0],"based":[1,218],"differentiable":[2,60,138],"rendering":[3,27],"has":[4,98,127],"established":[5],"itself":[6],"as":[7,132],"key":[8],"to":[9,86,168],"inverse":[10],"rendering,":[11],"in":[12,37,57,114,154,179,201],"which":[13,97,150],"scenes":[14],"are":[15],"recovered":[16],"from":[17],"images":[18],"through":[19],"gradient-based":[20],"optimization.":[21],"Taking":[22],"the":[23,26,33,38,91,169,188,195,211],"derivative":[24],"of":[25,35,74,90,104,108,172,194],"equation":[28],"is":[29,85],"made":[30],"difficult":[31],"by":[32],"presence":[34],"discontinuities":[36],"integrand":[39],"at":[40],"object":[41],"silhouettes.":[42,68],"To":[43],"obtain":[44],"correct":[45],"derivatives":[46],"w.r.t.":[47],"changing":[48,53],"geometry,":[49],"accounting":[50],"e.g.":[51],"for":[52,77,191],"penumbras":[54],"or":[55,135],"silhouettes":[56,94],"glossy":[58],"reflections,":[59],"renderers":[61],"must":[62],"compute":[63],"an":[64,142],"integral":[65],"over":[66,210],"these":[67],"Prior":[69],"work":[70,126],"proposed":[71],"importance":[72],"sampling":[73,134,153,214],"silhouette":[75],"edges":[76],"a":[78,105,155,173,202],"given":[79],"shading":[80],"point.":[81],"The":[82],"main":[83],"challenge":[84],"efficiently":[87],"reject":[88],"parts":[89],"mesh":[92,174],"without":[93],"during":[95],"sampling,":[96],"been":[99],"done":[100],"using":[101],"top-down":[102],"traversal":[103,193],"tree.":[106,196],"Inaccuracies":[107],"this":[109],"existing":[110],"rejection":[111,144,162],"procedure":[112],"result":[113],"many":[115],"samples":[116],"with":[117],"zero":[118],"contribution.":[119],"Thus,":[120],"variance":[121,148],"remains":[122],"high":[123],"and":[124,182,206,215],"subsequent":[125],"focused":[128],"on":[129,165,219],"alternatives":[130],"such":[131],"area":[133,220],"path":[136,157,204],"space":[137,181],"rendering.":[139],"We":[140,197],"propose":[141],"improved":[143],"test.":[145],"It":[146],"reduces":[147],"substantially,":[149],"makes":[151],"edge":[152,213],"unidirectional":[156,203],"tracer":[158,205],"competitive":[159],"again.":[160],"Our":[161],"test":[163],"relies":[164],"two":[166],"approximations":[167],"triangle":[170],"planes":[171],"patch:":[175],"A":[176],"bounding":[177],"box":[178],"dual":[180,183],"quadrics.":[184],"Additionally,":[185],"we":[186],"improve":[187],"heuristics":[189],"used":[190],"stochastic":[192],"evaluate":[198],"our":[199],"method":[200],"achieve":[207],"drastic":[208],"improvements":[209],"original":[212],"outperform":[216],"methods":[217],"sampling.":[221]},"counts_by_year":[],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
