{"id":"https://openalex.org/W4415709038","doi":"https://doi.org/10.1109/icme59968.2025.11209507","title":"Expansive Supervision for Neural Radiance Fields","display_name":"Expansive Supervision for Neural Radiance Fields","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415709038","doi":"https://doi.org/10.1109/icme59968.2025.11209507"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-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/A5032385848","display_name":"Weixiang Zhang","orcid":"https://orcid.org/0000-0002-5329-1134"},"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":true,"raw_author_name":"Weixiang Zhang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034190921","display_name":"Wei Yao","orcid":"https://orcid.org/0000-0002-1541-3954"},"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":"Wei Yao","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062107989","display_name":"Shuzhao Xie","orcid":"https://orcid.org/0009-0008-3017-1077"},"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":"Shuzhao Xie","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062661679","display_name":"Shijia Ge","orcid":null},"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":"Shijia Ge","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867082","display_name":"Chen Tang","orcid":"https://orcid.org/0000-0001-6830-4113"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Tang","raw_affiliation_strings":["The Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100443952","display_name":"Zhiyong Wang","orcid":"https://orcid.org/0000-0003-4406-9563"},"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":"Zhi Wang","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School, Tsinghua University"],"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School, Tsinghua University","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5032385848"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5352721,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.7337999939918518,"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":0.7337999939918518,"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":0.1729000061750412,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.04490000009536743,"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/expansive","display_name":"Expansive","score":0.7559000253677368},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6814000010490417},{"id":"https://openalex.org/keywords/radiance","display_name":"Radiance","score":0.673799991607666},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6480000019073486},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.36390000581741333},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31869998574256897},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.2962999939918518}],"concepts":[{"id":"https://openalex.org/C2780502288","wikidata":"https://www.wikidata.org/wiki/Q28838156","display_name":"Expansive","level":3,"score":0.7559000253677368},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6814000010490417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812999844551086},{"id":"https://openalex.org/C23690007","wikidata":"https://www.wikidata.org/wiki/Q1411145","display_name":"Radiance","level":2,"score":0.673799991607666},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6480000019073486},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5037000179290771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.453000009059906},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3409999907016754},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2962999939918518},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.29179999232292175},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.28119999170303345},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.27810001373291016},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C30769735","wikidata":"https://www.wikidata.org/wiki/Q2165951","display_name":"Volume rendering","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25450000166893005},{"id":"https://openalex.org/C44185422","wikidata":"https://www.wikidata.org/wiki/Q6002064","display_name":"Image-based modeling and rendering","level":3,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209507","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2145023731","https://openalex.org/W2741137940","https://openalex.org/W2962785568","https://openalex.org/W2964288609","https://openalex.org/W3109585842","https://openalex.org/W3203806429","https://openalex.org/W3215589927","https://openalex.org/W4221151978","https://openalex.org/W4287756134","https://openalex.org/W4312234520","https://openalex.org/W4365517783","https://openalex.org/W4386076412","https://openalex.org/W4402753938","https://openalex.org/W4409366015"],"related_works":[],"abstract_inverted_index":{"Neural":[0],"Radiance":[1],"Field":[2],"(NeRF)":[3],"has":[4],"achieved":[5],"remarkable":[6],"success":[7],"in":[8,117,120],"creating":[9],"immersive":[10],"media":[11],"representations":[12],"through":[13],"its":[14,34],"exceptional":[15],"reconstruction":[16],"capabilities.":[17],"However,":[18],"the":[19,54,99],"computational":[20],"demands":[21],"of":[22,56,89],"dense":[23],"forward":[24],"passes":[25],"and":[26,47,91,123,142],"volume":[27],"rendering":[28,114],"during":[29,50],"training":[30,52,66],"continue":[31],"to":[32,44,95,106],"challenge":[33],"real-world":[35],"applications.":[36],"In":[37],"this":[38,78,156],"paper,":[39],"we":[40,63],"introduce":[41],"Expansive":[42,131],"Supervision":[43,132],"reduce":[45],"time":[46,122,144],"memory":[48,124,140],"costs":[49],"NeRF":[51],"from":[53],"perspective":[55],"partial":[57],"ray":[58],"selection":[59],"for":[60,102],"supervision.":[61],"Specifically,":[62],"observe":[64],"that":[65,129],"errors":[67,97],"exhibit":[68],"a":[69,84],"long-tail":[70],"distribution":[71],"correlated":[72],"with":[73],"image":[74],"content.":[75],"Based":[76],"on":[77],"observation,":[79],"our":[80,109],"method":[81],"selectively":[82],"renders":[83],"small":[85],"but":[86],"crucial":[87],"subset":[88],"pixels":[90],"expands":[92],"their":[93],"values":[94],"estimate":[96],"across":[98],"entire":[100],"area":[101],"each":[103],"iteration.":[104],"Compared":[105],"conventional":[107],"supervision,":[108],"approach":[110],"effectively":[111],"bypasses":[112],"redundant":[113],"processes,":[115],"resulting":[116],"substantial":[118],"reductions":[119],"both":[121],"consumption.":[125],"Experimental":[126],"results":[127],"demonstrate":[128],"integrating":[130],"within":[133],"existing":[134],"state-of-the-art":[135],"acceleration":[136],"frameworks":[137],"achieves":[138],"52%":[139],"savings":[141,145],"16%":[143],"while":[146],"maintaining":[147],"comparable":[148],"visual":[149],"quality.":[150],"Our":[151],"code":[152],"is":[153],"available":[154],"at":[155],"link.":[157]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}
