{"id":"https://openalex.org/W7157874519","doi":"https://doi.org/10.1145/3799902.3811085","title":"Graphical X Splatting (GraphiXS): A Graphical Model for 4D Gaussian Splatting under Uncertainty","display_name":"Graphical X Splatting (GraphiXS): A Graphical Model for 4D Gaussian Splatting under Uncertainty","publication_year":2026,"publication_date":"2026-07-16","ids":{"openalex":"https://openalex.org/W7157874519","doi":"https://doi.org/10.1145/3799902.3811085"},"language":null,"primary_location":{"id":"doi:10.1145/3799902.3811085","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799902.3811085","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3799902.3811085","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134832103","display_name":"Do\u011fa Y\u0131lmaz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Do\u011fa Y\u0131lmaz","raw_affiliation_strings":["Computer Science, University College London (UCL), London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-2268-7136","affiliations":[{"raw_affiliation_string":"Computer Science, University College London (UCL), London, London, United Kingdom","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134824508","display_name":"Jialin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Zhu","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1826-6566","affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124111588","display_name":"Deshan Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Deshan Gong","raw_affiliation_strings":["Computer Science, The University of Hong Kong, Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0009-0002-2516-9542","affiliations":[{"raw_affiliation_string":"Computer Science, The University of Hong Kong, Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5134825624","display_name":"He Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144746","display_name":"The London College","ror":"https://ror.org/0546ajs61","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210144746"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"He Wang","raw_affiliation_strings":["Computer Science, University College London, London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-2281-5679","affiliations":[{"raw_affiliation_string":"Computer Science, University College London, London, London, United Kingdom","institution_ids":["https://openalex.org/I4210144746","https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"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":0.48761354,"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":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.22669999301433563,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.22669999301433563,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.1598999947309494,"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/T11019","display_name":"Image Enhancement Techniques","score":0.08089999854564667,"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":0.6510000228881836},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6486999988555908},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6478999853134155},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5825999975204468},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.5526999831199646},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5364000201225281},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4530999958515167},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.4300000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8319000005722046},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6510000228881836},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6486999988555908},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6478999853134155},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5825999975204468},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5526999831199646},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5364000201225281},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4530999958515167},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.4300000071525574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4239000082015991},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4187999963760376},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.37220001220703125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3508000075817108},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3206999897956848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.2782000005245209},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C2779038628","wikidata":"https://www.wikidata.org/wiki/Q7248497","display_name":"Programming by demonstration","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2583000063896179},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3799902.3811085","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799902.3811085","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2601.19843","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2601.19843","pdf_url":"https://arxiv.org/pdf/2601.19843","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3799902.3811085","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3799902.3811085","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5973845735","display_name":null,"funder_award_id":"1116049","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"},{"id":"https://openalex.org/G7023171357","display_name":null,"funder_award_id":"AIRR-IN 0261-5654-9320-1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1,95],"a":[2,88,101,114,125,136,191],"new":[3,15,102],"framework":[4,104],"to":[5,79,148,152],"systematically":[6,166],"incorporate":[7],"data":[8,53,60,85,110,154,179],"uncertainty":[9,61,86],"in":[10,25,32,170,175,184],"Gaussian":[11,20,58,121,198],"Splatting.":[12],"Being":[13],"the":[14,29,118,195],"paradigm":[16,123],"of":[17,84,109,117,138,194],"neural":[18],"rendering,":[19],"Splatting":[21,122,199],"has":[22,75],"been":[23,76],"investigated":[24],"many":[26,176],"applications,":[27],"with":[28,135],"main":[30],"effort":[31],"extending":[33],"its":[34,37,42],"representation,":[35],"improving":[36],"optimization":[38],"process,":[39],"and":[40,131,159,186,188],"accelerating":[41],"speed.":[43],"However,":[44],"one":[45],"orthogonal,":[46],"much":[47],"needed,":[48],"but":[49],"under-explored":[50],"area":[51],"is":[52,129,190],"uncertainty.":[54,155],"In":[55],"standard":[56],"4D":[57,120,197],"Splatting,":[59,98],"can":[62,132,145,165],"manifest":[63],"as":[64],"view":[65],"sparsity,":[66],"missing":[67,181],"frames,":[68],"camera":[69],"asynchronization,":[70],"etc.":[71],"So":[72],"far,":[73],"there":[74],"little":[77],"research":[78],"holistically":[80],"incorporating":[81],"various":[82,168],"types":[83,108],"under":[87],"single":[89],"framework.":[90],"To":[91],"this":[92],"end,":[93],"we":[94,161],"Graphical":[96],"X":[97],"or":[99,182],"GraphiXS,":[100],"probabilistic":[103,126],"that":[105,163],"considers":[106],"multiple":[107],"uncertainty,":[111],"aiming":[112],"for":[113],"fundamental":[115],"augmentation":[116],"current":[119,196],"into":[124],"setting.":[127],"GraphiXS":[128,144,164],"general":[130],"be":[133,146],"instantiated":[134],"range":[137],"primitives,":[139],"e.g.":[140],"Gaussians,":[141],"Student\u2019s-t.":[142],"Furthermore,":[143],"used":[147],"\u2018upgrade\u2019":[149],"existing":[150,173],"methods":[151,174],"accommodate":[153],"Through":[156],"exhaustive":[157],"evaluation":[158],"comparison,":[160],"demonstrate":[162],"model":[167],"uncertainties":[169],"data,":[171],"outperform":[172],"settings":[177],"where":[178],"are":[180],"polluted":[183],"space":[185],"time,":[187],"therefore":[189],"major":[192],"generalization":[193],"research.":[200]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-04-30T00:00:00"}