{"id":"https://openalex.org/W4415240892","doi":"https://doi.org/10.1109/3dv69130.2026.00105","title":"GSFix3D: Diffusion-Guided Repair of Novel Views in Gaussian Splatting","display_name":"GSFix3D: Diffusion-Guided Repair of Novel Views in Gaussian Splatting","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W4415240892","doi":"https://doi.org/10.1109/3dv69130.2026.00105"},"language":"en","primary_location":{"id":"doi:10.1109/3dv69130.2026.00105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00105","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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.14717","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101376711","display_name":"Jiaxin Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jiaxin Wei","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006726091","display_name":"Stefan Leutenegger","orcid":"https://orcid.org/0000-0002-7998-3737"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Stefan Leutenegger","raw_affiliation_strings":["ETH Zurich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH Zurich","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078912326","display_name":"Simon Schaefer","orcid":"https://orcid.org/0000-0001-7289-6000"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Simon Schaefer","raw_affiliation_strings":["Technical University of Munich"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich","institution_ids":["https://openalex.org/I62916508"]}]}],"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":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00480932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1051","last_page":"1060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.6851000189781189,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.6851000189781189,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.6319000124931335,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/leverage","display_name":"Leverage (statistics)","score":0.6711999773979187},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.49950000643730164},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4699000120162964},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4586000144481659},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4415000081062317},{"id":"https://openalex.org/keywords/filling-in","display_name":"Filling-in","score":0.415800005197525},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4036000072956085},{"id":"https://openalex.org/keywords/visual-hull","display_name":"Visual hull","score":0.38830000162124634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8300999999046326},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6711999773979187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5893999934196472},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.49950000643730164},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4699000120162964},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4586000144481659},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4415000081062317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43779999017715454},{"id":"https://openalex.org/C200873422","wikidata":"https://www.wikidata.org/wiki/Q5448821","display_name":"Filling-in","level":2,"score":0.415800005197525},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4036000072956085},{"id":"https://openalex.org/C2776863239","wikidata":"https://www.wikidata.org/wiki/Q7936601","display_name":"Visual hull","level":3,"score":0.38830000162124634},{"id":"https://openalex.org/C2779038628","wikidata":"https://www.wikidata.org/wiki/Q7248497","display_name":"Programming by demonstration","level":3,"score":0.36039999127388},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.32330000400543213},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.31619998812675476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30059999227523804},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.2962000072002411},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.2937999963760376},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.29319998621940613},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.27900001406669617},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C108154423","wikidata":"https://www.wikidata.org/wiki/Q1469792","display_name":"Salience (neuroscience)","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/3dv69130.2026.00105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00105","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"},{"id":"pmh:oai:arXiv.org:2508.14717","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.14717","pdf_url":"https://arxiv.org/pdf/2508.14717","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2508.14717","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.14717","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.14717","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.14717","pdf_url":"https://arxiv.org/pdf/2508.14717","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415240892.pdf","grobid_xml":"https://content.openalex.org/works/W4415240892.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"developments":[1],"in":[2,62],"3D":[3,44,73,103],"Gaussian":[4],"Splatting":[5],"have":[6],"significantly":[7],"enhanced":[8],"novel":[9,18,55,124],"view":[10,125],"synthesis,":[11],"yet":[12],"generating":[13],"high-quality":[14],"renderings":[15],"from":[16,69,118],"extreme":[17],"viewpoints":[19],"or":[20],"partially":[21],"observed":[22,79],"regions":[23,64],"remains":[24],"challenging.":[25],"Meanwhile,":[26],"diffusion":[27,70,89],"models":[28,71,109],"exhibit":[29],"strong":[30],"generative":[31,108],"capabilities,":[32],"but":[33],"their":[34],"lack":[35],"of":[36,38,113],"awareness":[37],"specific":[39],"scene":[40,80],"information":[41],"hinders":[42],"accurate":[43],"reconstruction":[45,120],"tasks.":[46],"To":[47],"address":[48],"these":[49],"limitations,":[50],"we":[51,132],"introduce":[52],"GSFix3D,":[53],"a":[54,87,111,134],"framework":[56],"that":[57,97,139,152],"improves":[58],"the":[59],"visual":[60],"fidelity":[61],"under-constrained":[63],"by":[65],"distilling":[66],"prior":[67],"knowledge":[68],"into":[72],"representations,":[74],"while":[75],"preserving":[76],"consistency":[77],"with":[78],"details.":[81],"At":[82],"its":[83,172],"core":[84],"is":[85],"GSFixer,":[86],"latent":[88],"model":[90],"obtained":[91],"via":[92],"our":[93,153],"customized":[94],"finetuning":[95],"protocol":[96],"can":[98],"leverage":[99],"both":[100],"mesh":[101],"and":[102,115,155,180],"Gaussians":[104],"to":[105,110,142,174],"adapt":[106],"pretrained":[107],"variety":[112],"environments":[114],"artifact":[116],"types":[117],"different":[119],"methods,":[121],"enabling":[122],"robust":[123],"repair":[126],"for":[127],"unseen":[128],"camera":[129],"poses.":[130],"Moreover,":[131],"propose":[133],"random":[135],"mask":[136],"augmentation":[137],"strategy":[138],"empowers":[140],"GSFixer":[141,156],"plausibly":[143],"inpaint":[144],"missing":[145],"regions.":[146],"Experiments":[147],"on":[148,165],"challenging":[149],"benchmarks":[150],"demonstrate":[151],"GSFix3D":[154],"achieve":[157],"state-of-the-art":[158],"performance,":[159],"requiring":[160],"only":[161],"minimal":[162],"scene-specific":[163],"fine-tuning":[164],"captured":[166],"data.":[167],"Realworld":[168],"test":[169],"further":[170],"confirms":[171],"resilience":[173],"potential":[175],"pose":[176],"errors.":[177],"Our":[178],"code":[179],"data":[181],"are":[182],"publicly":[183],"available:":[184],"https://github.com/GSFix3D/GSFix3D.":[185]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-16T00:00:00"}