{"id":"https://openalex.org/W4403780676","doi":"https://doi.org/10.1145/3664647.3681468","title":"CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting","display_name":"CompGS: Efficient 3D Scene Representation via Compressed Gaussian Splatting","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403780676","doi":"https://doi.org/10.1145/3664647.3681468"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101935315","display_name":"Xiangrui Liu","orcid":"https://orcid.org/0000-0002-3300-6287"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangrui Liu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-3300-6287","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017362965","display_name":"Xinju Wu","orcid":"https://orcid.org/0000-0002-1323-1137"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xinju Wu","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-1323-1137","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451860","display_name":"Pingping Zhang","orcid":"https://orcid.org/0000-0003-4188-1572"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pingping Zhang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-4188-1572","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385178","display_name":"Shiqi Wang","orcid":"https://orcid.org/0000-0002-3583-959X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shiqi Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0002-3583-959X","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100380625","display_name":"Zhu Li","orcid":"https://orcid.org/0000-0002-8246-177X"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhu Li","raw_affiliation_strings":["University of Missouri - Kansas City, Kansas City, Missouri, USA"],"raw_orcid":"https://orcid.org/0000-0002-8246-177X","affiliations":[{"raw_affiliation_string":"University of Missouri - Kansas City, Kansas City, Missouri, USA","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008386708","display_name":"Sam Kwong","orcid":"https://orcid.org/0000-0001-7484-7261"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sam Kwong","raw_affiliation_strings":["Lingnan University, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-7484-7261","affiliations":[{"raw_affiliation_string":"Lingnan University, Hong Kong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2936","last_page":"2944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9998999834060669,"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":0.9998999834060669,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9994000196456909,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.7781877517700195},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5336343050003052},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.46026068925857544},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4563681483268738},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4232648015022278},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4126078188419342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781877517700195},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5336343050003052},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.46026068925857544},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4563681483268738},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4232648015022278},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4126078188419342},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681468","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681468","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2072210981","https://openalex.org/W2133665775","https://openalex.org/W2294343556","https://openalex.org/W2590077255","https://openalex.org/W2738551266","https://openalex.org/W2901982540","https://openalex.org/W2905544027","https://openalex.org/W2962785568","https://openalex.org/W3091266734","https://openalex.org/W3202918664","https://openalex.org/W3203570626","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4285483958","https://openalex.org/W4297965133","https://openalex.org/W4304015018","https://openalex.org/W4304080270","https://openalex.org/W4304084113","https://openalex.org/W4304091927","https://openalex.org/W4309134821","https://openalex.org/W4385318467","https://openalex.org/W4385527621","https://openalex.org/W4386065808","https://openalex.org/W4386609189","https://openalex.org/W4387968451"],"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":{"Gaussian":[0,26,45,51,69],"splatting,":[1],"renowned":[2],"for":[3,53,93,167],"its":[4,29],"exceptional":[5],"rendering":[6,158],"quality":[7],"and":[8,132,157],"efficiency,":[9],"has":[10],"emerged":[11],"as":[12],"a":[13,59,73,87,111],"prominent":[14],"technique":[15],"in":[16,32,149],"3D":[17,40,55,150],"scene":[18,41,56,151],"representation.":[19],"However,":[20],"the":[21,66,96,139],"substantial":[22],"data":[23,62],"volume":[24],"of":[25,68,90,98],"splatting":[27],"impedes":[28],"practical":[30],"utility":[31],"real-world":[33],"applications.":[34],"Herein,":[35],"we":[36,71,85,109],"propose":[37],"an":[38,126],"efficient":[39],"representation,":[42],"named":[43],"Compressed":[44],"Splatting":[46],"(CompGS),":[47],"which":[48],"harnesses":[49],"compact":[50,105],"primitives":[52,92,99],"faithful":[54],"modeling":[57],"with":[58],"remarkably":[60],"reduced":[61],"size.":[63],"To":[64],"ensure":[65],"compactness":[67,148],"primitives,":[70,121],"devise":[72],"hybrid":[74,120],"primitive":[75],"structure":[76],"that":[77,138],"captures":[78],"predictive":[79],"relationships":[80],"between":[81,129],"each":[82],"other.":[83],"Then,":[84],"exploit":[86],"small":[88],"set":[89],"anchor":[91],"prediction,":[94],"allowing":[95],"majority":[97],"to":[100,115],"be":[101,163],"encapsulated":[102],"into":[103],"highly":[104],"residual":[106],"forms.":[107],"Moreover,":[108],"develop":[110],"rate-constrained":[112],"optimization":[113],"scheme":[114],"eliminate":[116],"redundancies":[117],"within":[118],"such":[119],"steering":[122],"our":[123],"CompGS":[124,141],"towards":[125],"optimal":[127],"trade-off":[128],"bitrate":[130],"consumption":[131],"representation":[133,152],"efficacy.":[134],"Experimental":[135],"results":[136],"show":[137],"proposed":[140],"significantly":[142],"outperforms":[143],"existing":[144],"methods,":[145],"achieving":[146],"superior":[147],"without":[153],"compromising":[154],"model":[155],"accuracy":[156],"quality.":[159],"Our":[160],"code":[161],"will":[162],"released":[164],"on":[165],"GitHub":[166],"further":[168],"research.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}