{"id":"https://openalex.org/W4403780763","doi":"https://doi.org/10.1145/3664647.3681225","title":"ViewPCGC: View-Guided Learned Point Cloud Geometry Compression","display_name":"ViewPCGC: View-Guided Learned Point Cloud Geometry Compression","publication_year":2024,"publication_date":"2024-10-26","ids":{"openalex":"https://openalex.org/W4403780763","doi":"https://doi.org/10.1145/3664647.3681225"},"language":"en","primary_location":{"id":"doi:10.1145/3664647.3681225","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681225","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/A5027994076","display_name":"Huiming Zheng","orcid":"https://orcid.org/0009-0005-4467-9013"},"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"]},{"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":"Huiming Zheng","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University &amp; Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0005-4467-9013","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University &amp; Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050309466","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0001-7429-5495"},"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"]},{"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":"Wei Gao","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University &amp; Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7429-5495","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University &amp; Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043276848","display_name":"Zhuozhen Yu","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":"Zhuozhen Yu","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0006-2987-7844","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057108758","display_name":"Tiesong Zhao","orcid":"https://orcid.org/0000-0002-7497-8883"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiesong Zhao","raw_affiliation_strings":["Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7497-8883","affiliations":[{"raw_affiliation_string":"Key Laboratory for Intelligent Processing and Wireless Transmission of Media Information, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447682","display_name":"Ge Li","orcid":"https://orcid.org/0000-0002-5828-0186"},"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":"Ge Li","raw_affiliation_strings":["School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5828-0186","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7152","last_page":"7161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9983999729156494,"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9980999827384949,"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/point-cloud","display_name":"Point cloud","score":0.6947611570358276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6388979554176331},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5239670276641846},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5189220905303955},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5099500417709351},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3943713307380676},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.38573795557022095},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3420772850513458},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15418824553489685},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12299537658691406}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6947611570358276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6388979554176331},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5239670276641846},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5189220905303955},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5099500417709351},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3943713307380676},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.38573795557022095},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3420772850513458},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15418824553489685},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12299537658691406},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3664647.3681225","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3664647.3681225","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2963125977","https://openalex.org/W2976304245","https://openalex.org/W2982170926","https://openalex.org/W2988915675","https://openalex.org/W3013177219","https://openalex.org/W3014200484","https://openalex.org/W3035428054","https://openalex.org/W3037306954","https://openalex.org/W3046961466","https://openalex.org/W3104344761","https://openalex.org/W3129486620","https://openalex.org/W3132652348","https://openalex.org/W3136603779","https://openalex.org/W3159975835","https://openalex.org/W3175145712","https://openalex.org/W3175457126","https://openalex.org/W3175951453","https://openalex.org/W3176485436","https://openalex.org/W3188483917","https://openalex.org/W3195128047","https://openalex.org/W3196987523","https://openalex.org/W4200552868","https://openalex.org/W4205470369","https://openalex.org/W4213309271","https://openalex.org/W4221156617","https://openalex.org/W4234552385","https://openalex.org/W4287509547","https://openalex.org/W4297330550","https://openalex.org/W4304080196","https://openalex.org/W4308233884","https://openalex.org/W4309134821","https://openalex.org/W4310591442","https://openalex.org/W4312654212","https://openalex.org/W4312799678","https://openalex.org/W4313151474","https://openalex.org/W4362506068","https://openalex.org/W4379507236","https://openalex.org/W4382776321","https://openalex.org/W4386071477","https://openalex.org/W4386075996","https://openalex.org/W4387969341","https://openalex.org/W4389331828","https://openalex.org/W4390872565","https://openalex.org/W4391528189","https://openalex.org/W4393159844","https://openalex.org/W4398163977","https://openalex.org/W4401835586"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"With":[0],"the":[1,44,71,83,107,138,142,146,162,168,176,179,199,202,206,210,222,229],"rise":[2],"of":[3,33,74,141,161,178,205,224],"immersive":[4,52],"media":[5,53],"applications":[6],"such":[7],"as":[8,18,95],"digital":[9],"museums,":[10],"virtual":[11],"reality,":[12],"and":[13,90,128,145],"interactive":[14],"exhibitions,":[15],"point":[16,34,58,87,115,143,185,207,231],"clouds,":[17],"a":[19,49,112,124,192],"three-dimensional":[20],"data":[21,31,89,93],"storage":[22],"format,":[23],"have":[24,62],"gained":[25],"increasingly":[26],"widespread":[27],"attention.":[28],"The":[29,217],"massive":[30],"volume":[32],"clouds":[35],"imposes":[36],"extremely":[37],"high":[38],"requirements":[39],"on":[40,133,244],"transmission":[41],"bandwidth":[42],"in":[43,66,102,198,209],"above":[45],"applications,":[46],"gradually":[47],"becoming":[48],"bottleneck":[50],"for":[51,184],"applications.":[54],"Although":[55],"existing":[56],"learning-based":[57],"cloud":[59,88,116,144,186,208,232],"compression":[60,67,103,118,234],"methods":[61,80],"achieved":[63],"specific":[64],"successes":[65],"efficiency":[68],"by":[69],"mining":[70],"spatial":[72],"redundancy":[73,151],"their":[75],"local":[76],"structural":[77],"features,":[78],"these":[79],"often":[81],"overlook":[82],"intrinsic":[84],"connections":[85],"between":[86],"other":[91],"modality":[92,139],"(such":[94],"image":[96,164,212],"modality),":[97],"thereby":[98],"limiting":[99],"further":[100],"improvements":[101],"efficiency.":[104],"To":[105],"address":[106],"limitation,":[108],"we":[109,190],"innovatively":[110],"propose":[111],"view-guided":[113],"learned":[114],"geometry":[117,233],"scheme,":[119],"namely":[120],"ViewPCGC.":[121],"We":[122],"adopt":[123],"novel":[125],"self-attention":[126],"mechanism":[127,131],"cross-modality":[129],"attention":[130],"based":[132],"sparse":[134],"convolution":[135],"to":[136,213,228],"align":[137],"features":[140],"view":[147,150,163,211],"image,":[148],"removing":[149],"through":[152],"Modality":[153],"Redundancy":[154],"Removal":[155],"Module":[156,196],"(MRRM).":[157],"Simultaneously,":[158],"side":[159],"information":[160,204],"is":[165],"introduced":[166],"into":[167],"Conditional":[169],"Checkboard":[170],"Entropy":[171],"Model":[172],"(CCEM),":[173],"significantly":[174],"enhancing":[175],"accuracy":[177],"probability":[180],"density":[181],"function":[182],"estimation":[183],"geometry.":[187],"In":[188],"addition,":[189],"design":[191],"View-Guided":[193],"Quality":[194],"Enhancement":[195],"(VG-QEM)":[197],"decoder,":[200],"utilizing":[201],"contour":[203],"supplement":[214],"reconstruction":[215],"details.":[216],"superior":[218],"experimental":[219],"performance":[220,240],"demonstrates":[221],"effectiveness":[223],"our":[225],"method.":[226],"Compared":[227],"state-of-the-art":[230],"methods,":[235],"ViewPCGC":[236],"exhibits":[237],"an":[238],"average":[239],"gain":[241],"exceeding":[242],"10%":[243],"D1-PSNR":[245],"metric.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":12}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
