{"id":"https://openalex.org/W2020429267","doi":"https://doi.org/10.1145/2766887","title":"Shading-based refinement on volumetric signed distance functions","display_name":"Shading-based refinement on volumetric signed distance functions","publication_year":2015,"publication_date":"2015-07-27","ids":{"openalex":"https://openalex.org/W2020429267","doi":"https://doi.org/10.1145/2766887","mag":"2020429267"},"language":"en","primary_location":{"id":"doi:10.1145/2766887","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2766887","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/A5005789795","display_name":"Michael Zollh\u00f6fer","orcid":"https://orcid.org/0000-0003-1219-0625"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]},{"id":"https://openalex.org/I4210109712","display_name":"Max Planck Institute for Informatics","ror":"https://ror.org/01w19ak89","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210109712"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Michael Zollh\u00f6fer","raw_affiliation_strings":["University of Erlangen-Nuremberg and MPI Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg and MPI Informatics","institution_ids":["https://openalex.org/I4210109712","https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026634347","display_name":"Angela Dai","orcid":"https://orcid.org/0000-0002-6241-8782"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Angela Dai","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085024639","display_name":"Matthias Innmann","orcid":"https://orcid.org/0009-0000-5314-1200"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Innmann","raw_affiliation_strings":["University of Erlangen-Nuremberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039066582","display_name":"Chenglei Wu","orcid":"https://orcid.org/0000-0002-7307-9480"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Chenglei Wu","raw_affiliation_strings":["ETH Zurich","[ETH, Zurich]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]},{"raw_affiliation_string":"[ETH, Zurich]","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053580386","display_name":"Marc Stamminger","orcid":"https://orcid.org/0000-0001-8699-3442"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marc Stamminger","raw_affiliation_strings":["University of Erlangen-Nuremberg"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Erlangen-Nuremberg","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020664641","display_name":"Christian Theobalt","orcid":"https://orcid.org/0000-0001-6104-6625"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christian Theobalt","raw_affiliation_strings":["MPI Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MPI Informatics","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088583491","display_name":"Matthias Nie\u00dfner","orcid":"https://orcid.org/0000-0001-6093-5199"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthias Nie\u00dfner","raw_affiliation_strings":["Stanford University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005789795"],"corresponding_institution_ids":["https://openalex.org/I181369854","https://openalex.org/I4210109712"],"apc_list":null,"apc_paid":null,"fwci":8.422,"has_fulltext":false,"cited_by_count":121,"citation_normalized_percentile":{"value":0.98432267,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"34","issue":"4","first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9994000196456909,"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/signed-distance-function","display_name":"Signed distance function","score":0.6930870413780212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6782066822052002},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6003021001815796},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5790245532989502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.557585597038269},{"id":"https://openalex.org/keywords/photometric-stereo","display_name":"Photometric stereo","score":0.5435246825218201},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4999673366546631},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.4669429063796997},{"id":"https://openalex.org/keywords/shading","display_name":"Shading","score":0.4493574798107147},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.42212656140327454},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33348605036735535},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.30920273065567017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13237616419792175}],"concepts":[{"id":"https://openalex.org/C71169176","wikidata":"https://www.wikidata.org/wiki/Q7512907","display_name":"Signed distance function","level":2,"score":0.6930870413780212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6782066822052002},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6003021001815796},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5790245532989502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557585597038269},{"id":"https://openalex.org/C44365914","wikidata":"https://www.wikidata.org/wiki/Q17120636","display_name":"Photometric stereo","level":3,"score":0.5435246825218201},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4999673366546631},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.4669429063796997},{"id":"https://openalex.org/C177515723","wikidata":"https://www.wikidata.org/wiki/Q1191981","display_name":"Shading","level":2,"score":0.4493574798107147},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.42212656140327454},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33348605036735535},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.30920273065567017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13237616419792175},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2766887","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2766887","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"},{"id":"pmh:oai:escidoc.org:escidoc:2190154","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0028-528D-5","pdf_url":null,"source":{"id":"https://openalex.org/S7407052962","display_name":"Max Planck Digital Library","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309480","display_name":"Nvidia","ror":"https://ror.org/03jdj4y14"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W33747096","https://openalex.org/W63091017","https://openalex.org/W1491073809","https://openalex.org/W1515194178","https://openalex.org/W1538407473","https://openalex.org/W1716229439","https://openalex.org/W1935568763","https://openalex.org/W1966718790","https://openalex.org/W1969204979","https://openalex.org/W1970260218","https://openalex.org/W1972671602","https://openalex.org/W1975636777","https://openalex.org/W1977758817","https://openalex.org/W1979449660","https://openalex.org/W1986049249","https://openalex.org/W1987648924","https://openalex.org/W2008073424","https://openalex.org/W2009422376","https://openalex.org/W2026179794","https://openalex.org/W2026672030","https://openalex.org/W2026726159","https://openalex.org/W2028401795","https://openalex.org/W2032871891","https://openalex.org/W2044233231","https://openalex.org/W2044850230","https://openalex.org/W2046333466","https://openalex.org/W2065906272","https://openalex.org/W2071398263","https://openalex.org/W2071906076","https://openalex.org/W2075402943","https://openalex.org/W2088632824","https://openalex.org/W2095072498","https://openalex.org/W2099478163","https://openalex.org/W2099940712","https://openalex.org/W2100297733","https://openalex.org/W2100816864","https://openalex.org/W2101131403","https://openalex.org/W2101856619","https://openalex.org/W2101872283","https://openalex.org/W2104600947","https://openalex.org/W2104620097","https://openalex.org/W2109945199","https://openalex.org/W2113507517","https://openalex.org/W2118304946","https://openalex.org/W2124313187","https://openalex.org/W2133661850","https://openalex.org/W2138334472","https://openalex.org/W2142610995","https://openalex.org/W2144387365","https://openalex.org/W2151103935","https://openalex.org/W2156598602","https://openalex.org/W2160014001","https://openalex.org/W2161879634","https://openalex.org/W2162550159","https://openalex.org/W2163446794","https://openalex.org/W2163634044","https://openalex.org/W2243794092","https://openalex.org/W2247810280","https://openalex.org/W2300200458","https://openalex.org/W2997017298","https://openalex.org/W3000731301","https://openalex.org/W3143763605","https://openalex.org/W4241716071","https://openalex.org/W4248025599","https://openalex.org/W6629222711","https://openalex.org/W6637636807"],"related_works":["https://openalex.org/W2994336186","https://openalex.org/W2390827063","https://openalex.org/W2587512547","https://openalex.org/W2372305560","https://openalex.org/W2393851740","https://openalex.org/W2103040079","https://openalex.org/W2960872271","https://openalex.org/W2316059977","https://openalex.org/W63694318","https://openalex.org/W2043878254"],"abstract_inverted_index":{"We":[0,114],"present":[1,126],"a":[2,77,127,159,169,190],"novel":[3,128],"method":[4],"to":[5,38,46,56,144,179,184],"obtain":[6,80],"fine-scale":[7,135],"detail":[8],"in":[9],"3D":[10],"reconstructions":[11,59,81],"generated":[12,109],"with":[13,82],"low-budget":[14],"RGB-D":[15,112],"cameras":[16],"or":[17],"other":[18],"commodity":[19],"scanning":[20],"devices.":[21],"As":[22,76],"the":[23,41,73,88,92,103,116,121,146],"depth":[24,74,89],"data":[25,55],"of":[26,68,91,149],"these":[27,58],"sensors":[28],"is":[29,66,98,108],"noisy,":[30],"truncated":[31],"signed":[32],"distance":[33,123],"fields":[34],"are":[35],"typically":[36,67],"used":[37],"regularize":[39],"out":[40],"noise,":[42],"which":[43,107,131,164],"unfortunately":[44],"leads":[45],"over-smoothed":[47],"results.":[48],"In":[49,142],"our":[50,156],"approach,":[51],"we":[52,79,152,165],"leverage":[53],"RGB":[54],"refine":[57,180],"through":[60],"shading":[61,118],"cues,":[62],"as":[63],"color":[64],"input":[65],"much":[69],"higher":[70],"resolution":[71,90,187],"than":[72],"data.":[75],"result,":[78],"high":[83],"geometric":[84],"detail,":[85,151],"far":[86],"beyond":[87],"camera":[93],"itself.":[94],"Our":[95],"core":[96],"contribution":[97],"shading-based":[99],"refinement":[100],"directly":[101],"on":[102,120],"implicit":[104],"surface":[105,136,140,157],"representation,":[106],"from":[110],"globally-aligned":[111],"images.":[113],"formulate":[115],"inverse":[117],"problem":[119],"volumetric":[122],"field,":[124],"and":[125,138,154],"objective":[129],"function":[130],"jointly":[132],"optimizes":[133],"for":[134],"geometry":[137],"spatially-varying":[139],"reflectance.":[141],"order":[143],"enable":[145],"efficient":[147],"reconstruction":[148],"sub-millimeter":[150],"store":[153],"process":[155],"using":[158],"sparse":[160],"voxel":[161],"hashing":[162],"scheme":[163],"augment":[166],"by":[167],"introducing":[168],"grid":[170],"hierarchy.":[171],"A":[172],"tailored":[173],"GPU-based":[174],"Gauss-Newton":[175],"solver":[176],"enables":[177],"us":[178],"large":[181],"shape":[182],"models":[183],"previously":[185],"unseen":[186],"within":[188],"only":[189],"few":[191],"seconds.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":24},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
