{"id":"https://openalex.org/W7162533702","doi":"https://doi.org/10.1109/3dv69130.2026.00179","title":"SplatFusion: Training-Free 3D Scene Completion From Sparse Views Using Temporal Diffusion Priors and Gaussian Splatting","display_name":"SplatFusion: Training-Free 3D Scene Completion From Sparse Views Using Temporal Diffusion Priors and Gaussian Splatting","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7162533702","doi":"https://doi.org/10.1109/3dv69130.2026.00179"},"language":null,"primary_location":{"id":"doi:10.1109/3dv69130.2026.00179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","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/A5021797360","display_name":"Tanveer Younis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tanveer Younis","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen VisuCA Key Lab,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen VisuCA Key Lab,China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136107314","display_name":"Dawar Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Dawar Khan","raw_affiliation_strings":["King Abdullah University of Science and Technology,Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology,Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005647036","display_name":"Zhanglin Cheng","orcid":"https://orcid.org/0000-0002-3360-2679"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhanglin Cheng","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen VisuCA Key Lab,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences,Shenzhen VisuCA Key Lab,China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":0.85381901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1895","last_page":"1904"},"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":0.3377000093460083,"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":0.3377000093460083,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.2062000036239624,"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/T11448","display_name":"Face recognition and analysis","score":0.07580000162124634,"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/prior-probability","display_name":"Prior probability","score":0.6288999915122986},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3970000147819519},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.3330000042915344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3328000009059906},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.32679998874664307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934000253677368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6291999816894531},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6288999915122986},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5422999858856201},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3970000147819519},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.3330000042915344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3328000009059906},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29179999232292175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.263700008392334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/3dv69130.2026.00179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6205030679702759,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2738551266","https://openalex.org/W2964288609","https://openalex.org/W3109585842","https://openalex.org/W3176368002","https://openalex.org/W3203570626","https://openalex.org/W3215769467","https://openalex.org/W3216476011","https://openalex.org/W4312933868","https://openalex.org/W4313196659","https://openalex.org/W4382462760","https://openalex.org/W4385318467","https://openalex.org/W4385801729","https://openalex.org/W4386065515","https://openalex.org/W4386066457","https://openalex.org/W4386083144","https://openalex.org/W4390872696","https://openalex.org/W4390873784","https://openalex.org/W4402667896","https://openalex.org/W4402716405","https://openalex.org/W4402727155","https://openalex.org/W4402754045","https://openalex.org/W4402775411","https://openalex.org/W4402775760","https://openalex.org/W4402816534","https://openalex.org/W4402951620","https://openalex.org/W4402952328","https://openalex.org/W4403069195","https://openalex.org/W4404525549","https://openalex.org/W4404965819","https://openalex.org/W4413145795","https://openalex.org/W4413146333","https://openalex.org/W4414432428","https://openalex.org/W7131859906","https://openalex.org/W7160058193"],"related_works":[],"abstract_inverted_index":{"Reconstructing":[0],"complete":[1],"3D":[2,19,83,124,178],"scenes":[3],"from":[4,97],"extremely":[5],"sparse":[6],"viewpoints":[7],"(e.g.,":[8],"2-3":[9],"wide-baseline":[10],"images)":[11],"remains":[12],"a":[13,44,74],"core":[14,71],"yet":[15],"unsolved":[16],"challenge.":[17],"Existing":[18],"Gaussian":[20],"Splatting":[21],"(3DGS)":[22],"and":[23,108,121,147,160],"neural":[24],"rendering":[25],"methods":[26],"degrade":[27],"severely":[28],"when":[29],"view":[30,183],"overlap":[31],"is":[32,73,185],"limited,":[33],"often":[34],"producing":[35],"incomplete":[36],"or":[37,51],"geometrically":[38],"distorted":[39],"results.":[40],"We":[41],"introduce":[42],"SplatFusion,":[43],"reconstruction":[45,140,179],"framework":[46,172],"that":[47,80,134],"requires":[48],"no":[49],"training":[50],"fine-tuning":[52],"of":[53],"diffusion":[54,62,87,93],"models,":[55],"instead":[56],"relying":[57],"solely":[58],"on":[59,94,129],"pretrained":[60],"video":[61,92],"priors":[63],"to":[64,119],"synthesize":[65],"missing":[66],"scene":[67,125],"content":[68],"plausibly.":[69],"Our":[70,170],"idea":[72],"Scene-Consistent":[75],"Temporal":[76],"Guidance":[77],"(SCTG)":[78],"mechanism":[79],"tightly":[81],"couples":[82],"structure":[84],"with":[85,106],"generative":[86],"models.":[88],"Specifically,":[89],"SCTG":[90],"conditions":[91],"sequences":[95],"rendered":[96],"the":[98,123,148],"evolving":[99],"3DGS":[100],"representation,":[101],"enforcing":[102],"both":[103],"spatial":[104],"alignment":[105],"geometry":[107],"temporal":[109,161],"coherence":[110],"across":[111],"synthesized":[112],"frames.":[113],"These":[114],"refined":[115],"views":[116],"are":[117],"back-projected":[118],"densify":[120],"correct":[122],"iteratively.":[126],"Extensive":[127],"experiments":[128],"diverse":[130],"realworld":[131],"datasets":[132],"demonstrate":[133],"SplatFusion":[135],"consistently":[136],"outperforms":[137],"existing":[138],"sparse-view":[139],"methods.":[141],"Evaluations":[142],"using":[143],"VLM-based":[144],"perceptual":[145],"scores":[146],"MEt3R":[149],"metric":[150],"for":[151,176],"geometric":[152],"consistency":[153],"show":[154],"clear":[155],"gains":[156],"in":[157,164],"visual":[158],"fidelity":[159],"coherence,":[162],"even":[163],"scenarios":[165],"where":[166,181],"previous":[167],"approaches":[168],"fail.":[169],"training-free":[171],"opens":[173],"new":[174],"possibilities":[175],"practical":[177],"applications":[180],"dense":[182],"acquisition":[184],"impractical.":[186]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-28T00:00:00"}