{"id":"https://openalex.org/W7124263381","doi":"https://doi.org/10.48550/arxiv.2601.09291","title":"TIDI-GS: Floater Suppression in 3D Gaussian Splatting for Enhanced Indoor Scene Fidelity","display_name":"TIDI-GS: Floater Suppression in 3D Gaussian Splatting for Enhanced Indoor Scene Fidelity","publication_year":2026,"publication_date":"2026-01-14","ids":{"openalex":"https://openalex.org/W7124263381","doi":"https://doi.org/10.48550/arxiv.2601.09291"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.09291","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.09291","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2601.09291","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5121489094","display_name":"Sooyeun Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Sooyeun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123111530","display_name":"Cheyul Im","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Im, Cheyul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121486488","display_name":"Jee Won Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Jee Won","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111313355","display_name":"Jongseong Brad Choi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choi, Jongseong Brad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.3564000129699707,"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":0.3564000129699707,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.1500999927520752,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11019","display_name":"Image Enhancement Techniques","score":0.09910000115633011,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.534600019454956},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5277000069618225},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.49380001425743103},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4650000035762787},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43459999561309814},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4250999987125397},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41839998960494995},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.35100001096725464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7886000275611877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5748999714851379},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5716000199317932},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.534600019454956},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5277000069618225},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.49380001425743103},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43459999561309814},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4250999987125397},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41839998960494995},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.35100001096725464},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.3066999912261963},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C104317376","wikidata":"https://www.wikidata.org/wiki/Q1894545","display_name":"Gaussian blur","level":5,"score":0.28290000557899475},{"id":"https://openalex.org/C157202957","wikidata":"https://www.wikidata.org/wiki/Q1659609","display_name":"Image warping","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2752000093460083},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.25760000944137573},{"id":"https://openalex.org/C544400634","wikidata":"https://www.wikidata.org/wiki/Q188695","display_name":"DirectX","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.09291","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.09291","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.09291","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.09291","pdf_url":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4257751405239105,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"3D":[0,11],"Gaussian":[1],"Splatting":[2],"(3DGS)":[3],"is":[4,49,73,104,156],"a":[5,58,78,105,138,159],"technique":[6],"to":[7,63,95,125,140],"create":[8],"high-quality,":[9],"real-time":[10],"scenes":[12],"from":[13,32],"images.":[14],"This":[15,36,153],"method":[16,103],"often":[17],"produces":[18],"visual":[19],"artifacts":[20],"known":[21],"as":[22,77],"floaters--nearly":[23],"transparent,":[24],"disconnected":[25],"elements":[26,148],"that":[27,74,145,164,177],"drift":[28],"in":[29],"space":[30],"away":[31],"the":[33,40,82,96,167,172,181],"actual":[34],"surface.":[35],"geometric":[37,169,185],"inaccuracy":[38],"undermines":[39],"reliability":[41],"of":[42,70,101,171,187],"these":[43,65],"models":[44],"for":[45,81,196],"practical":[46],"applications,":[47],"which":[48],"critical.":[50],"To":[51],"address":[52],"this":[53],"issue,":[54],"we":[55],"introduce":[56],"TIDI-GS,":[57],"new":[59],"training":[60,97],"framework":[61,136],"designed":[62],"eliminate":[64],"floaters.":[66],"A":[67],"key":[68],"benefit":[69],"our":[71,102],"approach":[72],"it":[75],"functions":[76],"lightweight":[79],"plugin":[80],"standard":[83],"3DGS":[84],"pipeline,":[85],"requiring":[86],"no":[87],"major":[88],"architectural":[89],"changes":[90],"and":[91,110,128,184],"adding":[92],"minimal":[93],"overhead":[94],"process.":[98],"The":[99,135],"core":[100],"floater":[106],"pruning":[107],"algorithm--TIDI--that":[108],"identifies":[109],"removes":[111],"floaters":[112],"based":[113],"on":[114],"several":[115],"criteria:":[116],"their":[117,122],"consistency":[118],"across":[119],"multiple":[120],"viewpoints,":[121],"spatial":[123],"relationship":[124],"other":[126],"elements,":[127],"an":[129],"importance":[130],"score":[131],"learned":[132],"during":[133],"training.":[134],"includes":[137],"mechanism":[139],"preserve":[141],"fine":[142],"details,":[143],"ensuring":[144],"important":[146],"high-frequency":[147],"are":[149],"not":[150],"mistakenly":[151],"removed.":[152],"targeted":[154],"cleanup":[155],"supported":[157],"by":[158],"monocular":[160],"depth-based":[161],"loss":[162],"function":[163],"helps":[165],"improve":[166],"overall":[168],"structure":[170],"scene.":[173],"Our":[174],"experiments":[175],"demonstrate":[176],"TIDI-GS":[178],"improves":[179],"both":[180],"perceptual":[182],"quality":[183],"integrity":[186],"reconstructions,":[188],"transforming":[189],"them":[190],"into":[191],"robust":[192],"digital":[193],"assets,":[194],"suitable":[195],"high-fidelity":[197],"applications.":[198]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-01-16T00:00:00"}