{"id":"https://openalex.org/W4399728338","doi":"https://doi.org/10.1109/tpami.2024.3414441","title":"DebSDF: Delving Into the Details and Bias of Neural Indoor Scene Reconstruction","display_name":"DebSDF: Delving Into the Details and Bias of Neural Indoor Scene Reconstruction","publication_year":2024,"publication_date":"2024-06-17","ids":{"openalex":"https://openalex.org/W4399728338","doi":"https://doi.org/10.1109/tpami.2024.3414441","pmid":"https://pubmed.ncbi.nlm.nih.gov/38885109"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2024.3414441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3414441","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yuting Xiao","orcid":"https://orcid.org/0009-0008-2256-9413"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Xiao","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0008-2256-9413","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jingwei Xu","orcid":"https://orcid.org/0009-0009-2637-6632"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Xu","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0009-2637-6632","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103251234","display_name":"Zehao Yu","orcid":"https://orcid.org/0000-0002-6559-9830"},"institutions":[{"id":"https://openalex.org/I143910747","display_name":"TH Bingen University of Applied Sciences","ror":"https://ror.org/01pxkj057","country_code":"DE","type":"education","lineage":["https://openalex.org/I143910747"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zehao Yu","raw_affiliation_strings":["Department of Computer Science, University of Tübingen, Tübingen, Germany","Department of Computer Science, University of Tübingen, Germany"],"raw_orcid":"https://orcid.org/0000-0002-6559-9830","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Tübingen, Tübingen, Germany","institution_ids":["https://openalex.org/I143910747"]},{"raw_affiliation_string":"Department of Computer Science, University of Tübingen, Germany","institution_ids":["https://openalex.org/I143910747"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shenghua Gao","orcid":"https://orcid.org/0000-0003-1626-2040"},"institutions":[{"id":"https://openalex.org/I30809798","display_name":"ShanghaiTech University","ror":"https://ror.org/030bhh786","country_code":"CN","type":"education","lineage":["https://openalex.org/I30809798"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghua Gao","raw_affiliation_strings":["School of Information Science and Technology, ShanghaiTech University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1626-2040","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4335,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89151375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"46","issue":"12","first_page":"8854","last_page":"8869"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.8183000087738037,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.8183000087738037,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7136403918266296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691064238548279},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.645950436592102},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.48236626386642456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41015881299972534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40482956171035767}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7136403918266296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691064238548279},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.645950436592102},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.48236626386642456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41015881299972534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40482956171035767}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tpami.2024.3414441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2024.3414441","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:38885109","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38885109","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:hub.hku.hk:10722/345389","is_oa":false,"landing_page_url":"https://hub.hku.hk/handle/10722/345389","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2889011845","display_name":null,"funder_award_id":"62172279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3636126384","display_name":null,"funder_award_id":"61932020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335796","display_name":"Program of Shanghai Academic Research Leader","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1964057156","https://openalex.org/W1987648924","https://openalex.org/W1992642990","https://openalex.org/W2058535340","https://openalex.org/W2102271310","https://openalex.org/W2147939404","https://openalex.org/W2171056981","https://openalex.org/W2174133987","https://openalex.org/W2338968644","https://openalex.org/W2519683295","https://openalex.org/W2594519801","https://openalex.org/W2738551266","https://openalex.org/W2926429807","https://openalex.org/W2962793285","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W2964153986","https://openalex.org/W3034524082","https://openalex.org/W3034530552","https://openalex.org/W3034564916","https://openalex.org/W3034726754","https://openalex.org/W3034968345","https://openalex.org/W3109428934","https://openalex.org/W3140517689","https://openalex.org/W3159126906","https://openalex.org/W3159272845","https://openalex.org/W3159981575","https://openalex.org/W3170262190","https://openalex.org/W3172610252","https://openalex.org/W3181256344","https://openalex.org/W3199238138","https://openalex.org/W3202037070","https://openalex.org/W3202995573","https://openalex.org/W3203257492","https://openalex.org/W3203570626","https://openalex.org/W3203887644","https://openalex.org/W3210613940","https://openalex.org/W3215769467","https://openalex.org/W3216476011","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4233857083","https://openalex.org/W4295539841","https://openalex.org/W4312253793","https://openalex.org/W4312539440","https://openalex.org/W4312679369","https://openalex.org/W4312790183","https://openalex.org/W4312969460","https://openalex.org/W4312986363","https://openalex.org/W4313154783","https://openalex.org/W4313186498","https://openalex.org/W4378450585","https://openalex.org/W4386066812","https://openalex.org/W4386075734","https://openalex.org/W4386075836","https://openalex.org/W4386076107","https://openalex.org/W4386076207","https://openalex.org/W6685261749","https://openalex.org/W6764040762","https://openalex.org/W6766978945","https://openalex.org/W6774418182","https://openalex.org/W6784729325","https://openalex.org/W6797770180","https://openalex.org/W6798033281","https://openalex.org/W6798491912","https://openalex.org/W6839182500","https://openalex.org/W6843265085"],"related_works":["https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,47,53,64,85,104,112,132,159,179,182,185,189],"neural":[4],"implicit":[5,54],"surface":[6,15],"has":[7,199],"emerged":[8],"as":[9],"a":[10,167],"powerful":[11],"representation":[12],"for":[13,51],"multi-view":[14,34],"reconstruction":[16,65],"due":[17,80],"to":[18,62,81,98,142,172,192],"its":[19],"simplicity":[20],"and":[21,27,84,111,154,181,188,212],"State-of-the-Art":[22],"performance.":[23],"However,":[24,69],"reconstructing":[25,216],"smooth":[26],"detailed":[28],"surfaces":[29],"in":[30,66,76,108,114,131,215,219],"indoor":[31,67,220],"scenes":[32,40],"from":[33,91,140],"images":[35],"presents":[36,96],"unique":[37],"challenges.":[38],"Indoor":[39],"typically":[41],"contain":[42,73],"large":[43],"texture-less":[44],"regions,":[45],"making":[46],"photometric":[48],"loss":[49],"unreliable":[50],"optimizing":[52],"surface.":[55],"Previous":[56],"work":[57],"utilizes":[58],"monocular":[59,70,109,133],"geometry":[60],"priors":[61,71,110,136],"improve":[63],"scenes.":[68],"often":[72],"substantial":[74],"errors":[75,130],"thin":[77,217],"structure":[78],"regions":[79],"domain":[82],"gaps":[83],"inherent":[86],"inconsistencies":[87],"when":[88],"derived":[89],"independently":[90],"different":[92],"views.":[93],"This":[94,145],"paper":[95],"DebSDF":[97],"address":[99],"these":[100],"challenges,":[101],"focusing":[102],"on":[103,205],"utilization":[105],"of":[106,161],"uncertainty":[107,121,146],"bias":[113],"SDF-based":[115],"volume":[116],"rendering.":[117],"We":[118,164],"propose":[119],"an":[120,150],"modeling":[122],"technique":[123],"that":[124,175],"associates":[125],"larger":[126,129],"uncertainties":[127],"with":[128],"priors.":[134],"High-uncertainty":[135],"are":[137],"then":[138],"excluded":[139],"optimization":[141],"prevent":[143],"bias.":[144],"measure":[147],"also":[148],"informs":[149],"importance-guided":[151],"ray":[152],"sampling":[153],"adaptive":[155],"smoothness":[156],"regularization,":[157],"enhancing":[158],"learning":[160],"fine":[162,194],"structures.":[163],"further":[165],"introduce":[166],"bias-aware":[168],"signed":[169],"distance":[170],"function":[171],"density":[173],"transformation":[174],"takes":[176],"into":[177],"account":[178],"curvature":[180],"angle":[183],"between":[184],"view":[186],"direction":[187],"SDF":[190],"normals":[191],"reconstruct":[193],"details":[195],"better.":[196],"Our":[197],"approach":[198],"been":[200],"validated":[201],"through":[202],"extensive":[203],"experiments":[204],"several":[206],"challenging":[207],"datasets,":[208],"demonstrating":[209],"improved":[210],"qualitative":[211],"quantitative":[213],"results":[214],"structures":[218],"scenes,":[221],"thereby":[222],"outperforming":[223],"previous":[224],"work.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}