{"id":"https://openalex.org/W4416202571","doi":"https://doi.org/10.1109/tvcg.2025.3631702","title":"Hierarchical Bayesian Guided Spatial-, Angular- and Temporal-Consistent View Synthesis","display_name":"Hierarchical Bayesian Guided Spatial-, Angular- and Temporal-Consistent View Synthesis","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W4416202571","doi":"https://doi.org/10.1109/tvcg.2025.3631702","pmid":"https://pubmed.ncbi.nlm.nih.gov/41223108"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2025.3631702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2025.3631702","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Visualization and Computer Graphics","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":"Junyu Zhu","orcid":"https://orcid.org/0009-0004-0802-2340"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Zhu","raw_affiliation_strings":["Hangzhou Yilan Tech., Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-0802-2340","affiliations":[{"raw_affiliation_string":"Hangzhou Yilan Tech., Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Zhu","orcid":"https://orcid.org/0000-0002-6756-9571"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhu","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6756-9571","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115589533","display_name":"Sheng Wang","orcid":"https://orcid.org/0009-0008-6659-2367"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["Hangzhou Yilan Tech., Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou Yilan Tech., Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhan Ma","orcid":"https://orcid.org/0000-0003-3686-4057"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhan Ma","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3686-4057","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":null,"display_name":"Xun Cao","orcid":"https://orcid.org/0000-0003-3094-4371"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xun Cao","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3094-4371","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":0.53620793,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"2","first_page":"1438","last_page":"1451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.4408000111579895,"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":0.4408000111579895,"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":0.3677000105381012,"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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.0869000032544136,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5645999908447266},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5406000018119812},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.5342000126838684},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5252000093460083},{"id":"https://openalex.org/keywords/view-synthesis","display_name":"View synthesis","score":0.5145000219345093},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.44920000433921814},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.3619999885559082},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3619000017642975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8370000123977661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.599399983882904},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5645999908447266},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5406000018119812},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.5342000126838684},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5252000093460083},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.5145000219345093},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.44920000433921814},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3702999949455261},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.3619999885559082},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3619000017642975},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.3564000129699707},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3476000130176544},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.33739998936653137},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.2904999852180481},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.29019999504089355},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.26739999651908875},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.2540999948978424}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tvcg.2025.3631702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2025.3631702","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:41223108","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41223108","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 visualization and computer graphics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7904453759","display_name":null,"funder_award_id":"62473193","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":40,"referenced_works":["https://openalex.org/W1855378005","https://openalex.org/W2098500213","https://openalex.org/W2133665775","https://openalex.org/W2962785568","https://openalex.org/W3043139608","https://openalex.org/W3109585842","https://openalex.org/W3136656704","https://openalex.org/W3153220274","https://openalex.org/W3203570626","https://openalex.org/W3203806429","https://openalex.org/W3214712237","https://openalex.org/W3215589927","https://openalex.org/W4221151978","https://openalex.org/W4244705922","https://openalex.org/W4281651265","https://openalex.org/W4312234520","https://openalex.org/W4312325284","https://openalex.org/W4312679369","https://openalex.org/W4313165271","https://openalex.org/W4321488276","https://openalex.org/W4376311815","https://openalex.org/W4381165433","https://openalex.org/W4385318467","https://openalex.org/W4386075614","https://openalex.org/W4386075787","https://openalex.org/W4386076557","https://openalex.org/W4389169341","https://openalex.org/W4389540220","https://openalex.org/W4390871701","https://openalex.org/W4390872522","https://openalex.org/W4390873066","https://openalex.org/W4390873588","https://openalex.org/W4390874175","https://openalex.org/W4394593137","https://openalex.org/W4402703005","https://openalex.org/W4402727151","https://openalex.org/W4402727915","https://openalex.org/W4404524696","https://openalex.org/W4412837168","https://openalex.org/W4415120057"],"related_works":[],"abstract_inverted_index":{"Neural":[0],"Radiance":[1],"Fields":[2],"(NeRF)":[3],"have":[4],"gained":[5],"significant":[6,157],"attention":[7],"due":[8],"to":[9,32],"their":[10],"precise":[11],"reconstruction":[12,118,150],"and":[13,26,41,47,89,106,114,142,165],"rapid":[14],"inference":[15],"capabilities,":[16],"making":[17],"them":[18,92],"highly":[19],"promising":[20],"for":[21,159],"applications":[22,160],"in":[23,38,74,133],"virtual":[24],"reality":[25],"gaming.":[27],"However,":[28],"extending":[29],"NeRF's":[30],"capabilities":[31,151],"dynamic":[33,65,149],"scenes":[34],"remains":[35],"underexplored,":[36],"particularly":[37],"ensuring":[39],"consistent":[40],"coherent":[42],"reconstructions":[43],"across":[44],"space,":[45],"time,":[46],"viewing":[48],"angles.":[49],"To":[50],"address":[51],"this":[52],"challenge,":[53],"we":[54],"propose":[55],"Scale-NeRF,":[56],"a":[57,68,102,107,156],"novel":[58],"approach":[59,105],"that":[60],"organizes":[61],"the":[62,82,117,125,136],"training":[63],"of":[64,127,135],"NeRFs":[66],"as":[67],"progressive,":[69],"scale-based":[70],"refinement":[71],"process,":[72],"grounded":[73],"hierarchical":[75,98],"Bayesian":[76],"theory.":[77],"Scale-NeRF":[78,128,146],"begins":[79],"by":[80],"reconstructing":[81],"radiance":[83],"fields":[84],"using":[85],"coarse,":[86],"large-scale":[87],"frames":[88],"iteratively":[90],"refines":[91],"with":[93,101,152],"progressively":[94],"smaller-scale":[95],"frames.":[96],"This":[97],"strategy,":[99],"combined":[100],"corresponding":[103],"sampling":[104],"newly":[108],"introduced":[109],"structural":[110],"loss,":[111],"ensures":[112],"consistency":[113],"integrity":[115],"throughout":[116],"process.":[119],"Experiments":[120],"on":[121],"public":[122],"datasets":[123],"validate":[124],"superiority":[126],"over":[129],"traditional":[130],"methods,":[131],"especially":[132],"terms":[134],"proposed":[137],"metrics":[138],"evaluating":[139],"spatial,":[140],"angular,":[141],"temporal":[143],"consistency.":[144],"Furthermore,":[145],"demonstrates":[147],"excellent":[148],"real-time":[153,166],"rendering,":[154],"offering":[155],"advancement":[158],"demanding":[161],"both":[162],"high":[163],"fidelity":[164],"performance.":[167]},"counts_by_year":[],"updated_date":"2026-02-09T05:59:30.833894","created_date":"2025-11-12T00:00:00"}