{"id":"https://openalex.org/W7160251075","doi":"https://doi.org/10.1109/wacv61042.2026.00182","title":"MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression","display_name":"MEGA-PCC: A Mamba-based Efficient Approach for Joint Geometry and Attribute Point Cloud Compression","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7160251075","doi":"https://doi.org/10.1109/wacv61042.2026.00182"},"language":null,"primary_location":{"id":"doi:10.1109/wacv61042.2026.00182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","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/A5108544712","display_name":"Kai-Hsiang Hsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Hsiang Hsieh","raw_affiliation_strings":["National Chung Cheng University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Cheng University","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072408542","display_name":"Monyneath Yim","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Monyneath Yim","raw_affiliation_strings":["National Chung Cheng University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Cheng University","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135320215","display_name":"Wen-Hsiao Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsiao Peng","raw_affiliation_strings":["National Yang Ming Chiao Tung University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018255070","display_name":"Jui\u2010Chiu Chiang","orcid":"https://orcid.org/0000-0003-1397-8393"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jui-Chiu Chiang","raw_affiliation_strings":["National Chung Cheng University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Cheng University","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57362765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1820","last_page":"1830"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.5863999724388123,"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":0.5863999724388123,"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":0.08380000293254852,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.052299998700618744,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/joint","display_name":"Joint (building)","score":0.47870001196861267},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4634000062942505},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.41200000047683716},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4036000072956085},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.33250001072883606},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.31690001487731934}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.47870001196861267},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4634000062942505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4507000148296356},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40389999747276306},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4036000072956085},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3747999966144562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3727000057697296},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30799999833106995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C204366326","wikidata":"https://www.wikidata.org/wiki/Q3027650","display_name":"Deformation (meteorology)","level":2,"score":0.257999986410141}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv61042.2026.00182","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00182","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W2146395539","https://openalex.org/W2415653907","https://openalex.org/W2594519801","https://openalex.org/W2963125977","https://openalex.org/W3015751022","https://openalex.org/W3021906059","https://openalex.org/W3032119513","https://openalex.org/W3035428054","https://openalex.org/W3081203363","https://openalex.org/W3118341329","https://openalex.org/W3159975835","https://openalex.org/W3179630053","https://openalex.org/W3195128047","https://openalex.org/W4214755140","https://openalex.org/W4221156617","https://openalex.org/W4285102249","https://openalex.org/W4297685253","https://openalex.org/W4310591442","https://openalex.org/W4312270234","https://openalex.org/W4312788538","https://openalex.org/W4316660534","https://openalex.org/W4372260571","https://openalex.org/W4376464601","https://openalex.org/W4379985413","https://openalex.org/W4380763527","https://openalex.org/W4386066365","https://openalex.org/W4387969376","https://openalex.org/W4388820893","https://openalex.org/W4389161211","https://openalex.org/W4390871916","https://openalex.org/W4392903231","https://openalex.org/W4402557597","https://openalex.org/W4402571450","https://openalex.org/W4402667891","https://openalex.org/W4402835130","https://openalex.org/W4402916102","https://openalex.org/W4403331526","https://openalex.org/W4403759065","https://openalex.org/W4403791510","https://openalex.org/W4404003093","https://openalex.org/W4408182953","https://openalex.org/W4409365601","https://openalex.org/W4409366152","https://openalex.org/W4409429520","https://openalex.org/W4411550910","https://openalex.org/W7133236665","https://openalex.org/W7139950338"],"related_works":[],"abstract_inverted_index":{"Joint":[0],"compression":[1,64],"of":[2],"point":[3,177],"cloud":[4,178],"geometry":[5,29,73,89],"and":[6,23,30,39,74,90,106,126,136,147,161,168],"attributes":[7],"is":[8],"essential":[9],"for":[10,59,134,175],"efficient":[11],"3D":[12],"data":[13],"representation.":[14],"Existing":[15],"methods":[16],"often":[17],"rely":[18],"on":[19,117],"post-hoc":[20],"recoloring":[21,135],"procedures":[22],"manually":[24],"tuned":[25],"bitrate":[26,138,143],"allocation":[27,144],"between":[28],"attribute":[31,75],"bitstreams":[32],"in":[33],"inference,":[34],"which":[35],"hinders":[36],"end-to-end":[37],"optimization":[38],"increases":[40],"system":[41],"complexity.":[42],"To":[43],"overcome":[44],"these":[45],"limitations,":[46],"we":[47],"propose":[48],"MEGA-PCC,":[49],"a":[50,67,78,172],"fully":[51],"end-to-end,":[52],"learning-based":[53,169],"framework":[54],"featuring":[55],"two":[56],"specialized":[57],"models":[58,114],"joint":[60],"compression.":[61,179],"The":[62],"main":[63],"model":[65,123],"employs":[66],"shared":[68],"encoder":[69],"that":[70,86,155],"encodes":[71],"both":[72,166],"information":[76],"into":[77],"unified":[79],"latent":[80],"representation,":[81],"followed":[82],"by":[83,103],"dual":[84],"decoders":[85],"sequentially":[87],"reconstruct":[88],"then":[91],"attributes.":[92],"Complementing":[93],"this,":[94],"the":[95,118,132,149],"Mamba-based":[96],"Entropy":[97],"Model":[98],"(MEM)":[99],"enhances":[100],"entropy":[101],"coding":[102],"capturing":[104],"spatial":[105],"channel-wise":[107],"correlations":[108],"to":[109,121,165],"improve":[110],"probability":[111],"estimation.":[112],"Both":[113],"are":[115],"built":[116],"Mamba":[119],"architecture":[120],"effectively":[122],"long-range":[124],"dependencies":[125],"rich":[127],"contextual":[128],"features.":[129],"By":[130],"eliminating":[131],"need":[133],"heuristic":[137],"tuning,":[139],"MEGA-PCC":[140,156],"enables":[141],"data-driven":[142],"during":[145],"training":[146],"simplifies":[148],"overall":[150],"pipeline.":[151],"Extensive":[152],"experiments":[153],"demonstrate":[154],"achieves":[157],"superior":[158],"rate-distortion":[159],"performance":[160],"runtime":[162],"efficiency":[163],"compared":[164],"traditional":[167],"baselines,":[170],"offering":[171],"powerful":[173],"solution":[174],"AI-driven":[176]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-05-06T00:00:00"}