{"id":"https://openalex.org/W4400234657","doi":"https://doi.org/10.1109/iscas58744.2024.10558691","title":"Density Estimation-based Effective Sampling Strategy for Neural Rendering","display_name":"Density Estimation-based Effective Sampling Strategy for Neural Rendering","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400234657","doi":"https://doi.org/10.1109/iscas58744.2024.10558691"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558691","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100937677","display_name":"Yunxiang He","orcid":null},"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":"Yunxiang He","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology","institution_ids":["https://openalex.org/I30809798"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063714836","display_name":"Xin Lou","orcid":"https://orcid.org/0000-0002-8499-5038"},"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":"Xin Lou","raw_affiliation_strings":["ShanghaiTech University,School of Information Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ShanghaiTech University,School of Information Science and Technology","institution_ids":["https://openalex.org/I30809798"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I30809798"],"apc_list":null,"apc_paid":null,"fwci":0.6963,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72583219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9919000267982483,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9919000267982483,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9833999872207642,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9700000286102295,"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/computer-science","display_name":"Computer science","score":0.7287809252738953},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.707366943359375},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.47915974259376526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.473163902759552},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46320641040802},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4606603980064392},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.416731059551239},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.19899755716323853},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1498641073703766},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11417567729949951},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06996235251426697},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.0695914626121521}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7287809252738953},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.707366943359375},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.47915974259376526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.473163902759552},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46320641040802},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4606603980064392},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.416731059551239},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.19899755716323853},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1498641073703766},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11417567729949951},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06996235251426697},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0695914626121521},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558691","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558691","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327803","display_name":"Shanghai Rising-Star Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2285660444","https://openalex.org/W3109585842","https://openalex.org/W3136656704","https://openalex.org/W4221151978","https://openalex.org/W4296053300","https://openalex.org/W4312234520","https://openalex.org/W4312325284","https://openalex.org/W4312878643","https://openalex.org/W4380881106","https://openalex.org/W4385318467","https://openalex.org/W4386071610","https://openalex.org/W4386076007"],"related_works":["https://openalex.org/W2576994247","https://openalex.org/W2582295320","https://openalex.org/W2608353378","https://openalex.org/W2174759944","https://openalex.org/W2060809589","https://openalex.org/W3109786615","https://openalex.org/W4249206767","https://openalex.org/W2113492357","https://openalex.org/W2990948995","https://openalex.org/W2917961983"],"abstract_inverted_index":{"Expanding":[0],"upon":[1],"the":[2,22,27,30,72,88,91],"foundational":[3],"Neural":[4],"Radiance":[5],"Fields":[6],"(NeRF)":[7],"framework,":[8],"neural":[9,36],"rendering":[10,37,45,81,98],"techniques":[11],"have":[12],"seen":[13],"wide-ranging":[14],"applications":[15],"in":[16,34,97],"3D":[17],"reconstruction":[18],"and":[19,84],"rendering.":[20],"Despite":[21],"numerous":[23],"attempts":[24],"to":[25,62],"accelerate":[26],"original":[28],"NeRF,":[29],"ray":[31],"marching":[32],"process":[33],"many":[35],"algorithms":[38],"remains":[39],"a":[40],"performance":[41],"bottleneck,":[42],"constraining":[43],"their":[44],"speed.":[46],"In":[47],"this":[48,64],"work,":[49],"we":[50],"introduce":[51],"an":[52],"innovative":[53],"method":[54,68],"for":[55],"effective":[56],"sampling":[57],"based":[58],"on":[59],"density":[60],"estimation":[61],"alleviate":[63],"bottleneck.":[65],"The":[66],"proposed":[67,92],"can":[69],"effectively":[70],"reduce":[71],"number":[73],"of":[74,90],"required":[75],"occupancy":[76],"grid":[77],"access":[78],"without":[79],"compromising":[80],"quality.":[82],"Evaluation":[83],"analysis":[85],"results":[86],"validate":[87],"effectiveness":[89],"approach,":[93],"delivering":[94],"notable":[95],"improvements":[96],"efficiency.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}