{"id":"https://openalex.org/W7163891228","doi":"https://doi.org/10.48550/arxiv.2606.07179","title":"EvoGS: Constructing Continuous-Layered Gaussian Splatting with Evolution Tree for Scalable 3D Streaming","display_name":"EvoGS: Constructing Continuous-Layered Gaussian Splatting with Evolution Tree for Scalable 3D Streaming","publication_year":2026,"publication_date":"2026-06-05","ids":{"openalex":"https://openalex.org/W7163891228","doi":"https://doi.org/10.48550/arxiv.2606.07179"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.07179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07179","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2606.07179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061028885","display_name":"Yuang Shi","orcid":"https://orcid.org/0000-0002-7893-8512"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Yuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138122281","display_name":"Simone Gasparini","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gasparini, Simone","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138188503","display_name":"G\u00e9raldine Morin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morin, G\u00e9raldine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5072587271","display_name":"Wei Tsang Ooi","orcid":"https://orcid.org/0000-0001-8994-1736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ooi, Wei Tsang","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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.23199999332427979,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.23199999332427979,"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/T11019","display_name":"Image Enhancement Techniques","score":0.15119999647140503,"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":0.1412999927997589,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6449999809265137},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5634999871253967},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5309000015258789},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.474700003862381},{"id":"https://openalex.org/keywords/payload","display_name":"Payload (computing)","score":0.43209999799728394},{"id":"https://openalex.org/keywords/running-time","display_name":"Running time","score":0.33219999074935913},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.31040000915527344},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.30720001459121704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.815500020980835},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6449999809265137},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5634999871253967},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5309000015258789},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.474700003862381},{"id":"https://openalex.org/C134066672","wikidata":"https://www.wikidata.org/wiki/Q1424639","display_name":"Payload (computing)","level":3,"score":0.43209999799728394},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42160001397132874},{"id":"https://openalex.org/C3017489831","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Running time","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3278000056743622},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.31040000915527344},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2799000144004822},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.2624000012874603},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.07179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07179","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.07179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.07179","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Streaming":[0],"3D":[1],"Gaussian":[2],"Splatting":[3],"requires":[4],"highly":[5,77],"scalable,":[6],"progressive":[7,10],"representations.":[8],"Existing":[9],"methods":[11],"rely":[12],"on":[13],"\\textit{discrete":[14],"layering},":[15],"accumulating":[16],"separate":[17],"splat":[18,36,86],"sets":[19],"for":[20,119],"each":[21],"level":[22],"of":[23],"detail.":[24],"This":[25,64],"structural":[26],"independence":[27],"between":[28],"layers":[29],"inherently":[30,74],"leads":[31],"to":[32,68,91,95,108],"error":[33],"accumulation,":[34],"severe":[35],"redundancy,":[37],"and":[38,76,102,110,113],"uncontrolled":[39],"quality":[40,116],"transitions.":[41],"We":[42],"propose":[43],"EvoGS,":[44],"the":[45],"first":[46],"\\textit{continuous-layering}":[47],"representation.":[48],"Organized":[49],"as":[50],"an":[51,59],"Evolution":[52],"Tree,":[53],"EvoGS":[54,84],"generates":[55],"finer":[56],"details":[57],"via":[58],"explicit,":[60],"wavelet-inspired":[61],"parent-child":[62],"refinement.":[63],"empowers":[65],"child":[66],"nodes":[67],"structurally":[69],"correct":[70],"ancestral":[71],"errors,":[72],"yield":[73],"sparse":[75],"compressible":[78],"inter-layer":[79],"signals.":[80],"Extensive":[81],"experiments":[82],"show":[83],"eliminates":[85],"redundancy":[87],"from":[88],"over":[89],"65\\%":[90],"under":[92],"25\\%.":[93],"Compared":[94],"state-of-the-art":[96],"baselines,":[97],"it":[98],"reduces":[99],"transmission":[100],"payload":[101],"GPU":[103],"VRAM":[104],"footprint":[105],"by":[106],"up":[107],"2.4$\\times$":[109],"5.5$\\times$,":[111],"respectively,":[112],"achieves":[114],"smooth":[115],"transitions":[117],"optimal":[118],"real-time":[120],"adaptive":[121],"streaming.":[122],"Project":[123],"page:":[124],"https://yuang-ian.github.io/evogs/":[125]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-09T00:00:00"}