{"id":"https://openalex.org/W7118606603","doi":"https://doi.org/10.1109/tmm.2026.3651112","title":"3D Semantic Gaussian via Geometric-Semantic Hypergraph Computation","display_name":"3D Semantic Gaussian via Geometric-Semantic Hypergraph Computation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7118606603","doi":"https://doi.org/10.1109/tmm.2026.3651112"},"language":null,"primary_location":{"id":"doi:10.1109/tmm.2026.3651112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3651112","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-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/A5082142463","display_name":"Xinran Wang","orcid":"https://orcid.org/0000-0001-8793-2174"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinran Wang","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0000-6314-1888","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101536548","display_name":"Zhiqiang Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Tian","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-3669-3748","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122239812","display_name":"Dejian Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dejian Guo","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0009-0001-3930-6168","affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122214636","display_name":"Siqi Li","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":"Siqi Li","raw_affiliation_strings":["BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9720-826X","affiliations":[{"raw_affiliation_string":"BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113731470","display_name":"ShaoYi DU","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shaoyi Du","raw_affiliation_strings":["National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-7092-0596","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100591764","display_name":"Xiangmin Han","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":"Xiangmin Han","raw_affiliation_strings":["BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6789-0568","affiliations":[{"raw_affiliation_string":"BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602494","display_name":"Yue Gao","orcid":"https://orcid.org/0000-0002-4971-590X"},"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":"Yue Gao","raw_affiliation_strings":["BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4971-590X","affiliations":[{"raw_affiliation_string":"BNRist, THUIBCS, BLBCI, School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"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":0.04118698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"3068","last_page":"3080"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9128999710083008,"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":0.9128999710083008,"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":0.04839999973773956,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.007699999958276749,"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/gaussian","display_name":"Gaussian","score":0.6028000116348267},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5139999985694885},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5090000033378601},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5062999725341797},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.46129998564720154},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.43459999561309814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3619999885559082},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.3614000082015991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8180999755859375},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6028000116348267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5375999808311462},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5062999725341797},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4702000021934509},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.46129998564720154},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3720000088214874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3619999885559082},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.3614000082015991},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C198942812","wikidata":"https://www.wikidata.org/wiki/Q496618","display_name":"Semantic property","level":2,"score":0.321399986743927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2833999991416931},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.28189998865127563},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.2768000066280365},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.2653999924659729},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.2612000107765198},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2612000107765198},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C85407183","wikidata":"https://www.wikidata.org/wiki/Q1045785","display_name":"Semantic network","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2558000087738037},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2026.3651112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2026.3651112","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2593274190","display_name":null,"funder_award_id":"62327808","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6272608297","display_name":null,"funder_award_id":"62401330","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8008072069","display_name":null,"funder_award_id":"U24A20252","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Semantic":[0],"labels":[1],"are":[2,43],"inherently":[3],"tied":[4],"to":[5,29,110,128],"geometry":[6,33],"and":[7,15,32,45,52,57,72,104,116,147,165,177,186],"luminance":[8],"reconstruction,":[9],"as":[10,119,121],"entities":[11],"with":[12,77],"similar":[13],"shapes":[14],"appearances":[16],"often":[17],"share":[18],"categories.":[19],"Traditional":[20],"methods":[21,37,49,61],"use":[22,126],"synthesis-analysis,":[23],"NeRF,":[24],"or":[25],"3D":[26,47,88],"Gaussian":[27,48,89,102,148],"representations":[28],"encode":[30],"semantics":[31],"separately.":[34],"However,":[35],"2D":[36,166],"lack":[38,151],"view":[39,163],"consistency,":[40],"NeRF":[41,146],"extensions":[42],"slow,":[44],"faster":[46],"risk":[50],"spatial":[51],"channel":[53],"inconsistencies":[54],"between":[55,122],"semantic":[56,66,75,92,117,167,178],"RGB.":[58],"Moreover,":[59],"these":[60],"require":[62],"costly":[63],"manual":[64,170],"dense":[65],"labels.":[67],"To":[68],"alleviate":[69],"resource":[70],"demands":[71],"achieve":[73],"effective":[74],"reconstruction":[76,168],"sparse":[78],"inputs":[79],"while":[80,189],"enhancing":[81],"RGB":[82,115,176],"rendering":[83,192],"quality,":[84],"we":[85],"build":[86],"upon":[87],"by":[90],"integrating":[91],"features":[93],"from":[94],"pre-trained":[95],"models-requiring":[96],"no":[97],"additional":[98],"ground":[99],"truth":[100],"input-into":[101],"features,":[103],"construct":[105],"a":[106],"hypergraph":[107],"neural":[108],"network":[109],"capture":[111],"higher-order":[112,140],"correlations":[113],"across":[114],"information":[118],"well":[120],"different":[123],"frames.":[124],"Hypergraphs":[125],"hyperedges":[127],"link":[129],"multiple":[130],"vertices,":[131],"capturing":[132],"complex":[133],"relationships":[134],"essential":[135],"for":[136,154,175],"cross-modal":[137],"tasks.":[138],"This":[139,158],"structure":[141],"addresses":[142],"the":[143,152,184],"limitations":[144],"of":[145,194],"methods,":[149],"which":[150],"capacity":[153],"such":[155],"advanced":[156],"associations.":[157],"framework":[159],"enables":[160],"precise":[161],"novel":[162],"synthesis":[164],"without":[169],"annotations,":[171],"achieving":[172],"state-of-the-art":[173],"results":[174],"tasks":[179],"on":[180],"room-scale":[181],"scenes":[182],"in":[183],"ScanNet":[185],"Replica":[187],"datasets,":[188],"supporting":[190],"real-time":[191],"speeds":[193],"34":[195],"FPS.":[196]},"counts_by_year":[],"updated_date":"2026-04-25T06:01:18.069262","created_date":"2026-01-08T00:00:00"}
