{"id":"https://openalex.org/W7137824164","doi":"https://doi.org/10.1609/aaai.v40i14.38115","title":"MuSASplat: Efficient Sparse-View 3D Gaussian Splats via Lightweight Multi-Scale Adaptation","display_name":"MuSASplat: Efficient Sparse-View 3D Gaussian Splats via Lightweight Multi-Scale Adaptation","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137824164","doi":"https://doi.org/10.1609/aaai.v40i14.38115"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i14.38115","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i14.38115","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38115/42077","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38115/42077","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129690327","display_name":"Muyu Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Muyu Xu","raw_affiliation_strings":["Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064046791","display_name":"Fangneng Zhan","orcid":"https://orcid.org/0000-0003-1502-6847"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fangneng Zhan","raw_affiliation_strings":["Harvard University & MIT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University & MIT","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129712599","display_name":"Xiaoqin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqin Zhang","raw_affiliation_strings":["Zhejiang University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129645406","display_name":"Ling Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Shao","raw_affiliation_strings":["University of the Chinese Academy of Sciences"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of the Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129742453","display_name":"Shijian Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shijian Lu","raw_affiliation_strings":["Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"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":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22608234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"14","first_page":"11343","last_page":"11351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.7336000204086304,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.7336000204086304,"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":0.051100000739097595,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.048700001090765,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/rendering","display_name":"Rendering (computer graphics)","score":0.656499981880188},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.4885999858379364},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.39160001277923584},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.38920000195503235},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.38510000705718994},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.38089999556541443},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3790000081062317},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3643999993801117}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8256999850273132},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.656499981880188},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.4885999858379364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4681999981403351},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.38920000195503235},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.38510000705718994},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.38089999556541443},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3727000057697296},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3643999993801117},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35440000891685486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3174000084400177},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.29980000853538513},{"id":"https://openalex.org/C2780945871","wikidata":"https://www.wikidata.org/wiki/Q194274","display_name":"Backup","level":2,"score":0.28940001130104065},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2660999894142151},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C99821215","wikidata":"https://www.wikidata.org/wiki/Q1136583","display_name":"Swap (finance)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i14.38115","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i14.38115","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38115/42077","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38115","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i14.38115","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i14.38115","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38115/42077","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320751","display_name":"Ministry of Education - Singapore","ror":"https://ror.org/01kcva023"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7137824164.pdf","grobid_xml":"https://content.openalex.org/works/W7137824164.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Sparse-view":[0],"3D":[1,11,27,70],"Gaussian":[2,71],"splatting":[3],"seeks":[4],"to":[5,81],"render":[6],"high-quality":[7],"novel":[8,58,122],"views":[9,144,163],"of":[10,17,34,40,66,77,93,101],"scenes":[12],"from":[13],"a":[14,57,85,98,135],"limited":[15],"set":[16],"input":[18,129,143,162],"images.":[19],"While":[20],"recent":[21],"pose-free":[22,68],"feed-forward":[23,69],"methods":[24],"leveraging":[25],"pre-trained":[26],"priors":[28],"have":[29],"achieved":[30],"impressive":[31],"results,":[32],"most":[33],"them":[35],"rely":[36],"on":[37],"full":[38],"fine-tuning":[39,92],"large":[41],"Vision":[42],"Transformer":[43],"(ViT)":[44],"backbones":[45],"and":[46,146,164,172,193],"incur":[47],"substantial":[48],"GPU":[49,109],"costs.":[50],"In":[51,131],"this":[52],"work,":[53],"we":[54,133],"introduce":[55,134],"MuSASplat,":[56],"framework":[59],"that":[60,89,139,182],"dramatically":[61],"reduces":[62],"the":[63,107,153,167],"computational":[64,173],"burden":[65],"training":[67,102,170,194],"splats":[72],"models":[73],"with":[74,96,112,126,199],"little":[75],"compromise":[76],"rendering":[78,186],"quality.":[79],"Central":[80],"our":[82],"approach":[83],"is":[84],"lightweight":[86],"Multi-Scale":[87],"Adapter":[88],"enables":[90],"efficient":[91],"ViT-based":[94],"architectures":[95],"only":[97],"small":[99],"fraction":[100],"parameters.":[103],"This":[104],"design":[105],"avoids":[106],"prohibitive":[108],"overhead":[110],"associated":[111],"previous":[113],"full-model":[114],"adaptation":[115],"techniques":[116],"while":[117],"maintaining":[118],"high":[119],"fidelity":[120],"in":[121],"view":[123],"synthesis,":[124],"even":[125],"very":[127],"sparse":[128],"views.":[130],"addition,":[132],"Feature":[136,154],"Fusion":[137,155],"Aggregator":[138,156],"integrates":[140],"features":[141],"across":[142,161,178],"effectively":[145],"efficiently.":[147],"Unlike":[148],"widely":[149],"adopted":[150],"memory":[151,168],"banks,":[152],"ensures":[157],"consistent":[158],"geometric":[159],"integration":[160],"meanwhile":[165],"mitigates":[166],"usage,":[169],"complexity,":[171],"costs":[174],"significantly.":[175],"Extensive":[176],"experiments":[177],"diverse":[179],"datasets":[180],"show":[181],"MuSASplat":[183],"achieves":[184],"state-of-the-art":[185],"quality":[187],"but":[188],"has":[189],"significantly":[190],"reduced":[191],"parameters":[192],"resource":[195],"requirements":[196],"as":[197],"compared":[198],"existing":[200],"methods.":[201]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-03-18T00:00:00"}