{"id":"https://openalex.org/W4415707671","doi":"https://doi.org/10.1109/icme59968.2025.11209921","title":"Enhancing 3D Gaussian Splatting Compression via Spatial Condition-based Prediction","display_name":"Enhancing 3D Gaussian Splatting Compression via Spatial Condition-based Prediction","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415707671","doi":"https://doi.org/10.1109/icme59968.2025.11209921"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"},"type":"article","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/A5113222315","display_name":"Jingui Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingui Ma","raw_affiliation_strings":["Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School"],"affiliations":[{"raw_affiliation_string":"Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101340366","display_name":"Yang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Hu","raw_affiliation_strings":["Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School"],"affiliations":[{"raw_affiliation_string":"Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111477086","display_name":"Luyang Tang","orcid":"https://orcid.org/0000-0001-6584-0949"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luyang Tang","raw_affiliation_strings":["Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School"],"affiliations":[{"raw_affiliation_string":"Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759136","display_name":"Jiayu Yang","orcid":"https://orcid.org/0000-0001-7475-1286"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayu Yang","raw_affiliation_strings":["Pengcheng Laboratory,China"],"affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory,China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059667859","display_name":"Yongqi Zhai","orcid":"https://orcid.org/0000-0002-3748-1392"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongqi Zhai","raw_affiliation_strings":["Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School"],"affiliations":[{"raw_affiliation_string":"Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050071143","display_name":"Ronggang Wang","orcid":"https://orcid.org/0000-0003-0873-0465"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronggang Wang","raw_affiliation_strings":["Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School"],"affiliations":[{"raw_affiliation_string":"Peking University,Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology, Shenzhen Graduate School","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113222315"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39160803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":0.5310999751091003,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.5310999751091003,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.10899999737739563,"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":0.07029999792575836,"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/data-compression","display_name":"Data compression","score":0.6258999705314636},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5461000204086304},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5315999984741211},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.513700008392334},{"id":"https://openalex.org/keywords/entropy-encoding","display_name":"Entropy encoding","score":0.4348999857902527},{"id":"https://openalex.org/keywords/bit-rate","display_name":"Bit rate","score":0.4250999987125397},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4221999943256378},{"id":"https://openalex.org/keywords/data-compression-ratio","display_name":"Data compression ratio","score":0.3995000123977661},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.37040001153945923}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8040000200271606},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.6258999705314636},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5461000204086304},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5315999984741211},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.513700008392334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927000105381012},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.4348999857902527},{"id":"https://openalex.org/C2987812609","wikidata":"https://www.wikidata.org/wiki/Q194158","display_name":"Bit rate","level":2,"score":0.4250999987125397},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4221999943256378},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4036000072956085},{"id":"https://openalex.org/C94835093","wikidata":"https://www.wikidata.org/wiki/Q3113333","display_name":"Data compression ratio","level":5,"score":0.3995000123977661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38670000433921814},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.37040001153945923},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.3521000146865845},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3246000111103058},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.32100000977516174},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.3061000108718872},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.30309998989105225},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.29190000891685486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.2766999900341034},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C166550679","wikidata":"https://www.wikidata.org/wiki/Q263400","display_name":"Gaussian network model","level":3,"score":0.2531000077724457},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209921","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2738551266","https://openalex.org/W2901982540","https://openalex.org/W2969260367","https://openalex.org/W3173272744","https://openalex.org/W3215769467","https://openalex.org/W4200150166","https://openalex.org/W4312713450","https://openalex.org/W4385318467","https://openalex.org/W4402716359","https://openalex.org/W4402716405","https://openalex.org/W4402726969","https://openalex.org/W4402943799","https://openalex.org/W4403780676","https://openalex.org/W4403843633","https://openalex.org/W4404545288","https://openalex.org/W4404624588","https://openalex.org/W4404725206","https://openalex.org/W4404965819","https://openalex.org/W4410204460"],"related_works":[],"abstract_inverted_index":{"Recently,":[0],"3D":[1],"Gaussian":[2,63],"Spatting":[3],"(3DGS)":[4],"has":[5],"gained":[6],"widespread":[7],"attention":[8],"in":[9,52],"Novel":[10],"View":[11],"Synthesis":[12],"(NVS)":[13],"due":[14],"to":[15,65,79,93,100],"the":[16,22,48,57,61,68,81,95,103,121],"remarkable":[17],"real-time":[18],"rendering":[19],"performance.":[20],"However,":[21],"substantial":[23],"cost":[24],"of":[25,29,37,50,123,146],"storage":[26],"and":[27,114,128],"transmission":[28],"vanilla":[30],"3DGS":[31],"hinders":[32],"its":[33],"further":[34,101],"application":[35],"(hundreds":[36],"megabytes":[38],"or":[39],"even":[40],"gigabytes":[41],"for":[42,85],"a":[43,74,88,112,142],"single":[44],"scene).":[45],"Motivated":[46],"by":[47],"achievements":[49],"prediction":[51,58,77],"video":[53],"compression,":[54],"we":[55,72,105],"introduce":[56],"technique":[59],"into":[60],"anchor-based":[62],"representation":[64],"effectively":[66],"reduce":[67],"bit":[69,143],"rate.":[70],"Specifically,":[71],"propose":[73,106],"spatial":[75],"condition-based":[76],"module":[78],"utilize":[80],"grid-captured":[82],"scene":[83],"information":[84],"prediction,":[86],"with":[87,134],"residual":[89],"compensation":[90],"strategy":[91],"designed":[92],"learn":[94],"missing":[96],"fine-grained":[97],"information.":[98],"Besides,":[99],"compress":[102],"residual,":[104],"an":[107],"instance-aware":[108,115],"hyper":[109],"prior,":[110],"developing":[111],"structure-aware":[113],"entropy":[116],"model.":[117],"Extensive":[118],"experiments":[119],"demonstrate":[120],"effectiveness":[122],"our":[124,138],"prediction-based":[125],"compression":[126,136],"framework":[127,139],"each":[129],"technical":[130],"component.":[131],"Even":[132],"compared":[133],"SOTA":[135],"method,":[137],"still":[140],"achieves":[141],"rate":[144],"savings":[145],"24.42":[147],"percent.":[148]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-30T00:00:00"}