{"id":"https://openalex.org/W4385834285","doi":"https://doi.org/10.1109/tpami.2023.3305295","title":"StructNeRF: Neural Radiance Fields for Indoor Scenes With Structural Hints","display_name":"StructNeRF: Neural Radiance Fields for Indoor Scenes With Structural Hints","publication_year":2023,"publication_date":"2023-08-15","ids":{"openalex":"https://openalex.org/W4385834285","doi":"https://doi.org/10.1109/tpami.2023.3305295","pmid":"https://pubmed.ncbi.nlm.nih.gov/37581966"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2023.3305295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3305295","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":"https://openalex.org/A5101568627","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0001-9796-1745"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9796-1745","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337628","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-9315-3780"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9315-3780","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011934377","display_name":"Yuan-Chen Guo","orcid":"https://orcid.org/0000-0001-6164-8343"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan-Chen Guo","raw_affiliation_strings":["Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-6164-8343","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049883689","display_name":"Song\u2013Hai Zhang","orcid":"https://orcid.org/0000-0003-0460-1586"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song-Hai Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0460-1586","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, BNRist, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":2.0109,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87710344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"45","issue":"12","first_page":"15694","last_page":"15705"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9980999827384949,"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":0.9926999807357788,"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/radiance","display_name":"Radiance","score":0.8408445119857788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7507451772689819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6590467095375061},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.5901807546615601},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5580468773841858},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5333656668663025},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.48786282539367676},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.46617984771728516},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42664116621017456},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3244284987449646},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.2844451665878296},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.23940211534500122},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.13946110010147095},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10969728231430054},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.09605041146278381}],"concepts":[{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.8408445119857788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507451772689819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6590467095375061},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.5901807546615601},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5580468773841858},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5333656668663025},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.48786282539367676},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.46617984771728516},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42664116621017456},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3244284987449646},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2844451665878296},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.23940211534500122},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.13946110010147095},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10969728231430054},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.09605041146278381},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2023.3305295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2023.3305295","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:37581966","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37581966","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1544458871","display_name":null,"funder_award_id":"62132012","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W125693051","https://openalex.org/W1522301498","https://openalex.org/W1677409904","https://openalex.org/W1985238052","https://openalex.org/W1999478155","https://openalex.org/W2133665775","https://openalex.org/W2338968644","https://openalex.org/W2471962767","https://openalex.org/W2519683295","https://openalex.org/W2554759989","https://openalex.org/W2594519801","https://openalex.org/W2609883120","https://openalex.org/W2741885505","https://openalex.org/W2905536983","https://openalex.org/W2962785568","https://openalex.org/W2985775862","https://openalex.org/W2990394353","https://openalex.org/W3092948912","https://openalex.org/W3106931899","https://openalex.org/W3109585842","https://openalex.org/W3130983693","https://openalex.org/W3172568571","https://openalex.org/W3176368002","https://openalex.org/W3202995573","https://openalex.org/W3203257492","https://openalex.org/W3203439539","https://openalex.org/W3203583526","https://openalex.org/W3204859697","https://openalex.org/W3206822855","https://openalex.org/W3216476011","https://openalex.org/W4200382072","https://openalex.org/W4214564845","https://openalex.org/W4214731463","https://openalex.org/W4281784082","https://openalex.org/W4286759403","https://openalex.org/W4295550965","https://openalex.org/W4300448588","https://openalex.org/W4312280100","https://openalex.org/W4312679369","https://openalex.org/W4312969460","https://openalex.org/W4313154783","https://openalex.org/W4313196659","https://openalex.org/W6637400245","https://openalex.org/W6691702411","https://openalex.org/W6721610202","https://openalex.org/W6780775866","https://openalex.org/W6784492152","https://openalex.org/W6790818473","https://openalex.org/W6839182500"],"related_works":["https://openalex.org/W2365582905","https://openalex.org/W2801494623","https://openalex.org/W2365641137","https://openalex.org/W1975273303","https://openalex.org/W2397696627","https://openalex.org/W2083583319","https://openalex.org/W4301374033","https://openalex.org/W4298422051","https://openalex.org/W2088533214","https://openalex.org/W2366562706"],"abstract_inverted_index":{"Neural":[0],"Radiance":[1],"Fields":[2],"(NeRF)":[3],"achieve":[4],"photo-realistic":[5],"view":[6,30,46,122],"synthesis":[7,31,47,123],"with":[8,51,164],"densely":[9],"captured":[10],"input":[11],"images.":[12],"However,":[13],"the":[14,56,66,75,91,109,118,121],"geometry":[15,68,92,119],"of":[16,28,93,125],"NeRF":[17,126],"is":[18,87],"extremely":[19],"under-constrained":[20],"given":[21],"sparse":[22,52,165],"views,":[23],"resulting":[24],"in":[25,61,70],"significant":[26],"degradation":[27],"novel":[29,45],"quality.":[32],"Inspired":[33],"by":[34],"self-supervised":[35,111],"depth":[36,112],"estimation":[37],"methods,":[38],"we":[39,99],"propose":[40],"StructNeRF,":[41],"a":[42,81],"solution":[43],"to":[44,64,89,103,149],"for":[48,96,161],"indoor":[49,162],"scenes":[50,163],"inputs.":[53],"StructNeRF":[54,142],"leverages":[55],"structural":[57],"hints":[58],"naturally":[59],"embedded":[60],"multi-view":[62,83],"inputs":[63,166],"handle":[65],"unconstrained":[67],"issue":[69],"NeRF.":[71],"Specifically,":[72],"it":[73],"tackles":[74],"texture":[76],"and":[77,120,169],"non-texture":[78],"regions":[79],"respectively:":[80],"patch-based":[82],"consistent":[84,106],"photometric":[85],"loss":[86],"proposed":[88],"constrain":[90],"textured":[94],"regions;":[95],"non-textured":[97],"ones,":[98],"explicitly":[100],"restrict":[101],"them":[102],"be":[104],"3D":[105],"planes.":[107],"Through":[108],"dense":[110],"constraints,":[113],"our":[114],"method":[115],"improves":[116],"both":[117,167],"performance":[124,147],"without":[127],"any":[128],"additional":[129],"training":[130],"on":[131,136],"external":[132],"data.":[133],"Extensive":[134],"experiments":[135],"several":[137],"real-world":[138],"datasets":[139],"demonstrate":[140],"that":[141],"shows":[143],"superior":[144],"or":[145],"comparable":[146],"compared":[148],"state-of-the-art":[150],"methods":[151],"(e.g.":[152],"NeRF,":[153],"DSNeRF,":[154],"RegNeRF,":[155],"Dense":[156],"Depth":[157],"Priors,":[158],"MonoSDF,":[159],"etc.)":[160],"quantitatively":[168],"qualitatively.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
