{"id":"https://openalex.org/W4408353469","doi":"https://doi.org/10.1109/icassp49660.2025.10890792","title":"GraphDAE-PU: Graph Denosing Auto-Encoder for Arbitrary-Scale Point Cloud Upsampling","display_name":"GraphDAE-PU: Graph Denosing Auto-Encoder for Arbitrary-Scale Point Cloud Upsampling","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353469","doi":"https://doi.org/10.1109/icassp49660.2025.10890792"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10890792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5019155943","display_name":"Yuzhong Deng","orcid":"https://orcid.org/0009-0003-2066-5878"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhong Deng","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012801178","display_name":"Zhiheng Su","orcid":"https://orcid.org/0009-0003-3692-5099"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiheng Su","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047118242","display_name":"Penghui Shang","orcid":"https://orcid.org/0000-0001-8908-7410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Penghui Shang","raw_affiliation_strings":["Zhiyuan Research Institute,Hangzhou,China,310013"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhiyuan Research Institute,Hangzhou,China,310013","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088573605","display_name":"Dongzhen Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongzhen Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100599890","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-4753-8161"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Automation Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027642367","display_name":"Jianxiao Zou","orcid":"https://orcid.org/0000-0002-8676-8322"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianxiao Zou","raw_affiliation_strings":["University of Electronic Science and Technology of China,Shenzhen Institute for Advanced Study,Shenzhen,China,518110"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Shenzhen Institute for Advanced Study,Shenzhen,China,518110","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019841300","display_name":"Shicai Fan","orcid":"https://orcid.org/0000-0003-2548-3689"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shicai Fan","raw_affiliation_strings":["University of Electronic Science and Technology of China,Shenzhen Institute for Advanced Study,Shenzhen,China,518110"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Shenzhen Institute for Advanced Study,Shenzhen,China,518110","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9944000244140625,"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":0.9944000244140625,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9930999875068665,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9451000094413757,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.8410358428955078},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6087085604667664},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5653842687606812},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5471866726875305},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5084949731826782},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.49397188425064087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3188972473144531},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20275917649269104},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11207544803619385},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.055193424224853516}],"concepts":[{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.8410358428955078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6087085604667664},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5653842687606812},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5471866726875305},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5084949731826782},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.49397188425064087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3188972473144531},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20275917649269104},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11207544803619385},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.055193424224853516},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10890792","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10890792","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2025768430","https://openalex.org/W2075821118","https://openalex.org/W2097117768","https://openalex.org/W2271206385","https://openalex.org/W2555618208","https://openalex.org/W2921730678","https://openalex.org/W2963390820","https://openalex.org/W2963680153","https://openalex.org/W2979750740","https://openalex.org/W2990045899","https://openalex.org/W2997337685","https://openalex.org/W3039448353","https://openalex.org/W3175676582","https://openalex.org/W3184736166","https://openalex.org/W3201863705","https://openalex.org/W4312473078","https://openalex.org/W4386075817","https://openalex.org/W4393148951","https://openalex.org/W4402727301","https://openalex.org/W6739778489","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W4310746709","https://openalex.org/W4386075645","https://openalex.org/W4385574037","https://openalex.org/W4306309518","https://openalex.org/W3176213335"],"abstract_inverted_index":{"Existing":[0],"learning-based":[1],"arbitrary-scale":[2,42,143],"point":[3,12,21,33,43,61,98,107],"cloud":[4,13,34,44],"upsampling":[5,35,144],"methods":[6],"are":[7,113],"usually":[8],"challenged":[9],"with":[10,41,51],"limited":[11],"feature":[14,65],"representation":[15,50],"and":[16,67,117,128,140],"noise-sensitive":[17],"refinement":[18],"of":[19,60,75,95],"coarse":[20],"cloud.":[22],"In":[23],"this":[24],"paper,":[25],"we":[26],"introduce":[27],"GraphDAE-PU,":[28],"a":[29,52,76],"novel":[30],"framework":[31],"for":[32],"that":[36,112,131],"addresses":[37],"the":[38,57,69,73,89,93,96,101],"challenges":[39],"associated":[40],"upsampling.":[45],"Our":[46],"approach":[47],"integrates":[48],"graph":[49,77],"denoising":[53,102],"auto-encoder":[54,103],"architecture,":[55],"harnessing":[56],"intrinsic":[58],"structure":[59],"clouds":[62],"to":[63,83,122],"enhance":[64],"extraction":[66],"refine":[68],"upsampled":[70],"points.":[71],"Specifically,":[72],"use":[74],"neural":[78],"network":[79],"enables":[80],"our":[81],"model":[82],"capture":[84],"complex":[85],"geometric":[86],"relationships":[87],"within":[88],"data,":[90],"thereby":[91],"improving":[92],"accuracy":[94,139],"generated":[97],"clouds.":[99],"Concurrently,":[100],"refines":[104],"coarse,":[105],"midpoint-interpolated":[106],"clouds,":[108],"resulting":[109],"in":[110,142],"surfaces":[111],"not":[114],"only":[115],"accurate":[116],"uniform":[118],"but":[119],"also":[120],"robust":[121],"noise.":[123],"Experimental":[124],"evaluations,":[125],"both":[126],"qualitative":[127],"quantitative,":[129],"reveal":[130],"GraphDAE-PU":[132],"consistently":[133],"outperforms":[134],"existing":[135],"methods,":[136],"demonstrating":[137],"its":[138],"robustness":[141],"tasks.":[145]},"counts_by_year":[],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}