{"id":"https://openalex.org/W4387968111","doi":"https://doi.org/10.1145/3581783.3612422","title":"PDE-based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds","display_name":"PDE-based Progressive Prediction Framework for Attribute Compression of 3D Point Clouds","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387968111","doi":"https://doi.org/10.1145/3581783.3612422"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5103115183","display_name":"Xiaodong Yang","orcid":"https://orcid.org/0009-0005-2130-7006"},"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":"Xiaodong Yang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0005-2130-7006","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040696546","display_name":"Yiting Shao","orcid":"https://orcid.org/0000-0001-9625-0124"},"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":"Yiting Shao","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University &amp; Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9625-0124","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University &amp; Artificial Intelligence Research Center, Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449791","display_name":"Shan Liu","orcid":"https://orcid.org/0000-0002-1442-1207"},"institutions":[{"id":"https://openalex.org/I70745867","display_name":"KLA (United States)","ror":"https://ror.org/02rqhpa98","country_code":"US","type":"company","lineage":["https://openalex.org/I70745867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shan Liu","raw_affiliation_strings":["Tencent Media Lab, Palo Alto, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-1442-1207","affiliations":[{"raw_affiliation_string":"Tencent Media Lab, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I70745867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050291250","display_name":"Thomas H. Li","orcid":"https://orcid.org/0000-0001-6123-1265"},"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":"Thomas H. Li","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6123-1265","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076676389","display_name":"Ge Li","orcid":"https://orcid.org/0000-0003-4079-3968"},"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, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4079-3968","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9481,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.83811056,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"9271","last_page":"9281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9991999864578247,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.998199999332428,"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":0.7428039312362671},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6788658499717712},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.6106858849525452},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.6066088080406189},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48944154381752014},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48409974575042725},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4622025489807129},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.457308292388916},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4340716600418091},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4332687556743622},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4099913239479065},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3534478545188904},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18914258480072021}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7428039312362671},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6788658499717712},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.6106858849525452},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.6066088080406189},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48944154381752014},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48409974575042725},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4622025489807129},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.457308292388916},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4340716600418091},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4332687556743622},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4099913239479065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3534478545188904},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18914258480072021},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G2876969454","display_name":null,"funder_award_id":"GXWD20201231165807007","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G2892208584","display_name":null,"funder_award_id":"GXWD20201231165807007- 20200806163656003","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G449472674","display_name":null,"funder_award_id":"62172021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5118098732","display_name":null,"funder_award_id":"No. 62172021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5426793764","display_name":null,"funder_award_id":"GXWD20201231165807007-20200806163656003","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G7204049841","display_name":null,"funder_award_id":"20200806163656003","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1530140847","https://openalex.org/W1986678681","https://openalex.org/W2005943976","https://openalex.org/W2025953558","https://openalex.org/W2047701894","https://openalex.org/W2091090567","https://openalex.org/W2105910985","https://openalex.org/W2126922884","https://openalex.org/W2134076294","https://openalex.org/W2152132615","https://openalex.org/W2324902717","https://openalex.org/W2415653907","https://openalex.org/W2516853023","https://openalex.org/W2905544027","https://openalex.org/W2963712400","https://openalex.org/W2970849590","https://openalex.org/W2997327074","https://openalex.org/W3048526884","https://openalex.org/W3147959344","https://openalex.org/W3195590273","https://openalex.org/W4205884332","https://openalex.org/W4283784934","https://openalex.org/W4288474964","https://openalex.org/W4315473443"],"related_works":["https://openalex.org/W2948148442","https://openalex.org/W2461250372","https://openalex.org/W2394342941","https://openalex.org/W2169853506","https://openalex.org/W2547124190","https://openalex.org/W2350586049","https://openalex.org/W2385628723","https://openalex.org/W2057878850","https://openalex.org/W2169871401","https://openalex.org/W3008492011"],"abstract_inverted_index":{"In":[0,127],"recent":[1],"years,":[2],"the":[3,21,30,44,55,86,98,119,128,142,146,153,166,170],"diffusion-based":[4,171],"image":[5],"compression":[6,66],"scheme":[7,223],"has":[8,224],"achieved":[9],"significant":[10],"success,":[11],"which":[12,78],"inspires":[13],"us":[14],"to":[15,19,37,43,92,117,161],"use":[16,180],"diffusion":[17,22,159],"theory":[18],"employ":[20],"model":[23],"for":[24,64,101,109,151],"point":[25,48,69,115],"cloud":[26],"attribute":[27,65,83,143,210,213],"compression.":[28],"However,":[29],"relevant":[31],"existing":[32],"methods":[33],"cannot":[34],"be":[35,93],"used":[36,150],"deal":[38],"with":[39,206],"our":[40,191,221],"task":[41],"due":[42],"irregular":[45],"structure":[46],"of":[47,67,89,121,137,181,197],"clouds.":[49,70],"To":[50],"handle":[51],"this,":[52],"we":[53,72,104,132,173],"propose":[54,73,105],"partial":[56,111],"differential":[57],"equation":[58],"(PDE)":[59],"based":[60],"progressive":[61],"prediction":[62,76,80,130,177],"framework":[63,193],"3D":[68],"Firstly,":[71],"a":[74,106,134,175],"PDE-based":[75],"module,":[77],"performs":[79],"by":[81,156],"optimizing":[82],"gradients,":[84],"allowing":[85],"geometric":[87],"distribution":[88],"adjacent":[90],"areas":[91],"fully":[94],"utilized":[95],"and":[96,184,201,212,228],"explaining":[97],"weighting":[99],"method":[100,108,178],"prediction.":[102],"Besides,":[103],"low-complexity":[107],"calculating":[110],"derivative":[112],"operations":[113],"on":[114],"clouds":[116],"address":[118],"uncertainty":[120],"neighbor":[122],"occupancy":[123],"in":[124,145],"three-dimensional":[125],"space.":[126],"proposed":[129,192,222],"framework,":[131],"design":[133,174],"two-layer":[135],"level":[136,148,155],"detail":[138],"(LOD)":[139],"structure,":[140],"where":[141],"information":[144],"high":[147],"is":[149],"interpolating":[152],"low":[154],"edge-enhancing":[157],"anisotropic":[158],"(EED)":[160],"infer":[162],"local":[163],"features":[164],"from":[165],"high-level":[167],"information.":[168,186],"After":[169],"interpolation,":[172],"texture-wise":[176],"making":[179],"interpolated":[182],"values":[183],"texture":[185,226],"Experiment":[187],"results":[188],"show":[189],"that":[190],"achieves":[194],"an":[195],"average":[196],"12.00%":[198],"BD-rate":[199],"reduction":[200],"1.59%":[202],"bitrate":[203],"saving":[204],"compared":[205],"Predlift":[207],"(PLT)":[208],"under":[209],"near-lossless":[211],"lossless":[214],"conditions,":[215],"respectively.":[216],"Furthermore,":[217],"additional":[218],"experiments":[219],"demonstrate":[220],"better":[225],"preservation":[227],"subjective":[229],"quality.":[230]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
