{"id":"https://openalex.org/W4415708429","doi":"https://doi.org/10.1109/icme59968.2025.11209259","title":"SANE: Enhancing Large-scale Scene Representation with Semantic-aware NeRF Experts","display_name":"SANE: Enhancing Large-scale Scene Representation with Semantic-aware NeRF Experts","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708429","doi":"https://doi.org/10.1109/icme59968.2025.11209259"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209259","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/A5114488803","display_name":"Zesheng Wang","orcid":"https://orcid.org/0009-0009-9933-6420"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zesheng Wang","raw_affiliation_strings":["Beihang University,School of Electronic Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367907","display_name":"Yufeng Wang","orcid":"https://orcid.org/0000-0001-8713-3153"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufeng Wang","raw_affiliation_strings":["Beihang University,Institute of Unmanned System,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Institute of Unmanned System,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048939503","display_name":"Shuangkang Fang","orcid":"https://orcid.org/0009-0001-1066-5896"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangkang Fang","raw_affiliation_strings":["Beihang University,School of Electronic Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708909","display_name":"Xinrui Zhang","orcid":"https://orcid.org/0000-0002-5615-6341"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinrui Zhang","raw_affiliation_strings":["Beihang University,School of Electronic Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108947056","display_name":"Dacheng Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dacheng Qi","raw_affiliation_strings":["Beihang University,School of Electronic Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102899011","display_name":"Shengxi Li","orcid":"https://orcid.org/0000-0003-4979-9290"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengxi Li","raw_affiliation_strings":["Beihang University,School of Electronic Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112905355","display_name":"Mai Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mai Xu","raw_affiliation_strings":["Beihang University,School of Electronic Information Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,School of Electronic Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024501453","display_name":"Wenrui Ding","orcid":"https://orcid.org/0000-0001-5490-4724"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenrui Ding","raw_affiliation_strings":["Beihang University,Institute of Unmanned System,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Beihang University,Institute of Unmanned System,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5114488803"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3545716,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.4417000114917755,"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":0.4417000114917755,"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":0.226500004529953,"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":0.1615999937057495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.6216999888420105},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5238999724388123},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4932999908924103},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4442000091075897},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4088999927043915},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3921000063419342},{"id":"https://openalex.org/keywords/semantic-data-model","display_name":"Semantic data model","score":0.3610000014305115},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.34130001068115234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7851999998092651},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.6216999888420105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5920000076293945},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5238999724388123},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4932999908924103},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4442000091075897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43970000743865967},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4375},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4088999927043915},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3921000063419342},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3237000107765198},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.2840999960899353},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C179372163","wikidata":"https://www.wikidata.org/wiki/Q1406181","display_name":"Scene graph","level":3,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209259","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209259","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":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1959229705","https://openalex.org/W2019400639","https://openalex.org/W3109585842","https://openalex.org/W3177583232","https://openalex.org/W3210613940","https://openalex.org/W4214661523","https://openalex.org/W4312280420","https://openalex.org/W4312713450","https://openalex.org/W4312842946","https://openalex.org/W4313031684","https://openalex.org/W4385318467","https://openalex.org/W4386083004","https://openalex.org/W4390871789","https://openalex.org/W4392980133","https://openalex.org/W4402630434","https://openalex.org/W4402754019","https://openalex.org/W4403021024","https://openalex.org/W4408356126"],"related_works":[],"abstract_inverted_index":{"We":[0,60],"propose":[1],"the":[2,10,52,73],"Semantic-aware":[3],"NeRF":[4,58],"Experts":[5,42],"(SANE),":[6],"which":[7],"fully":[8],"exploits":[9],"intrinsic":[11],"characteristics":[12],"of":[13,41,77,83,133],"large-scale":[14,134],"scenes,":[15],"including":[16],"semantics":[17,71],"and":[18,28,122],"material":[19],"features,":[20],"to":[21,49],"achieve":[22],"high-quality":[23],"novel":[24],"view":[25],"synthesis":[26],"results":[27],"provide":[29],"accurate":[30],"3D":[31],"semantic":[32,39,64,81,109,124],"information.":[33],"SANE":[34,117],"begins":[35],"by":[36],"building":[37],"a":[38,45,63,90],"Mixture":[40],"(MoE),":[43],"utilizing":[44],"learnable":[46],"gating":[47],"network":[48],"semantically":[50],"partition":[51],"scene":[53,85,120],"into":[54,72],"blocks":[55],"for":[56,126],"corresponding":[57],"experts.":[59],"then":[61],"develop":[62],"volume":[65],"rendering":[66],"scheme":[67],"that":[68,116],"integrates":[69],"discrete":[70],"end-to-end":[74],"differentiable":[75],"process":[76],"NeRF,":[78],"enabling":[79],"refined":[80],"labeling":[82],"each":[84],"point.":[86],"Additionally,":[87],"we":[88],"implement":[89],"dual-implicit":[91],"encoding":[92,95],"strategy:":[93],"intra-block":[94],"captures":[96,104],"lighting":[97],"variations":[98],"across":[99],"viewpoints,":[100],"while":[101],"inter-block":[102],"one":[103],"texture":[105],"features":[106],"among":[107],"different":[108],"objects.":[110],"Experiments":[111],"on":[112,137],"benchmark":[113],"datasets":[114],"show":[115],"delivers":[118],"higher-quality":[119],"representations":[121],"effective":[123],"decomposition":[125],"downstream":[127],"tasks,":[128],"such":[129],"as":[130],"precise":[131],"editing":[132],"scenes":[135],"based":[136],"semantics.":[138]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-30T00:00:00"}
