{"id":"https://openalex.org/W4405902027","doi":"https://doi.org/10.48550/arxiv.2412.19130","title":"MVS-GS: High-Quality 3D Gaussian Splatting Mapping via Online Multi-View Stereo","display_name":"MVS-GS: High-Quality 3D Gaussian Splatting Mapping via Online Multi-View Stereo","publication_year":2024,"publication_date":"2024-12-26","ids":{"openalex":"https://openalex.org/W4405902027","doi":"https://doi.org/10.48550/arxiv.2412.19130"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2412.19130","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.19130","pdf_url":"https://arxiv.org/pdf/2412.19130","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.19130","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029075683","display_name":"Byeonggwon Lee","orcid":"https://orcid.org/0009-0006-7065-4263"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Byeonggwon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101779514","display_name":"Jun\u2010Kyu Park","orcid":"https://orcid.org/0000-0002-1587-5673"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Park, Junkyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085774170","display_name":"Khang Truong Giang","orcid":"https://orcid.org/0000-0002-6709-7885"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Giang, Khang Truong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029363735","display_name":"Sungho Jo","orcid":"https://orcid.org/0000-0002-7618-362X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jo, Sungho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013538220","display_name":"Soohwan Song","orcid":"https://orcid.org/0000-0003-2145-1161"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Soohwan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6983105540275574},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.6022214889526367},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5074688792228699},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49043747782707214},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.464633971452713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.447897732257843},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07221594452857971}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6983105540275574},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.6022214889526367},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5074688792228699},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49043747782707214},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.464633971452713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.447897732257843},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07221594452857971},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2412.19130","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.19130","pdf_url":"https://arxiv.org/pdf/2412.19130","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2412.19130","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.19130","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:2412.19130","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.19130","pdf_url":"https://arxiv.org/pdf/2412.19130","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"This":[0],"study":[1],"addresses":[2],"the":[3,137],"challenge":[4],"of":[5,124],"online":[6,93],"3D":[7,31,50,70],"model":[8,139],"generation":[9],"for":[10,86],"neural":[11],"rendering":[12],"using":[13,103],"an":[14,92],"RGB":[15],"image":[16],"stream.":[17],"Previous":[18],"research":[19],"has":[20],"tackled":[21],"this":[22],"issue":[23],"by":[24],"incorporating":[25],"Neural":[26],"Radiance":[27],"Fields":[28],"(NeRF)":[29],"or":[30],"Gaussian":[32],"Splatting":[33],"(3DGS)":[34],"as":[35],"scene":[36],"representations":[37],"within":[38],"dense":[39,156],"SLAM":[40,157],"methods.":[41],"However,":[42],"most":[43],"studies":[44],"focus":[45],"primarily":[46],"on":[47,62],"estimating":[48],"coarse":[49],"scenes":[51],"rather":[52],"than":[53],"achieving":[54],"detailed":[55],"reconstructions.":[56],"Moreover,":[57],"depth":[58,102,114],"estimation":[59],"based":[60],"solely":[61],"images":[63],"is":[64],"often":[65],"ambiguous,":[66],"resulting":[67],"in":[68,126,161],"low-quality":[69],"models":[71],"that":[72,90,135,151],"lead":[73],"to":[74,117],"inaccurate":[75],"renderings.":[76],"To":[77],"overcome":[78],"these":[79],"limitations,":[80],"we":[81,129],"propose":[82],"a":[83,107,131],"novel":[84],"framework":[85],"high-quality":[87],"3DGS":[88,138],"modeling":[89],"leverages":[91],"multi-view":[94],"stereo":[95],"(MVS)":[96],"approach.":[97],"Our":[98],"method":[99,153],"estimates":[100],"MVS":[101],"sequential":[104],"frames":[105],"from":[106],"local":[108],"time":[109],"window":[110],"and":[111],"applies":[112],"comprehensive":[113],"refinement":[115],"techniques":[116],"filter":[118],"out":[119],"outliers,":[120],"enabling":[121],"accurate":[122],"initialization":[123],"Gaussians":[125],"3DGS.":[127],"Furthermore,":[128],"introduce":[130],"parallelized":[132],"backend":[133],"module":[134],"optimizes":[136],"efficiently,":[140],"ensuring":[141],"timely":[142],"updates":[143],"with":[144],"each":[145],"new":[146],"keyframe.":[147],"Experimental":[148],"results":[149],"demonstrate":[150],"our":[152],"outperforms":[154],"state-of-the-art":[155],"methods,":[158],"particularly":[159],"excelling":[160],"challenging":[162],"outdoor":[163],"environments.":[164]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
