{"id":"https://openalex.org/W4389494893","doi":"https://doi.org/10.1109/tmm.2023.3340892","title":"Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion","display_name":"Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4389494893","doi":"https://doi.org/10.1109/tmm.2023.3340892"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2023.3340892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3340892","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5008891315","display_name":"Lintai Wu","orcid":"https://orcid.org/0000-0002-9260-0980"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Lintai Wu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, SAR, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong","Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, SAR, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101785500","display_name":"Qijian Zhang","orcid":"https://orcid.org/0000-0003-4723-6136"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qijian Zhang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, SAR, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, SAR, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031957432","display_name":"Junhui Hou","orcid":"https://orcid.org/0000-0003-3431-2021"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Junhui Hou","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, SAR, Hong Kong","Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, SAR, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359961","display_name":"Yong Xu","orcid":"https://orcid.org/0000-0003-0530-2123"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Xu","raw_affiliation_strings":["Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China","Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, Shenzhen, Guangdong, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Visual Object Detection and Recognition, Shenzhen, Guangdong, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008891315"],"corresponding_institution_ids":["https://openalex.org/I168719708","https://openalex.org/I204983213","https://openalex.org/I4210144487"],"apc_list":null,"apc_paid":null,"fwci":3.247,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.93857459,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"27","issue":null,"first_page":"940","last_page":"953"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9991000294685364,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9968000054359436,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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":0.9316517114639282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8112421035766602},{"id":"https://openalex.org/keywords/silhouette","display_name":"Silhouette","score":0.7188841104507446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7129921317100525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6696425676345825},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.501812219619751},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.47696244716644287},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4559181332588196},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.4222252070903778},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09981018304824829}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.9316517114639282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112421035766602},{"id":"https://openalex.org/C58103923","wikidata":"https://www.wikidata.org/wiki/Q2286025","display_name":"Silhouette","level":2,"score":0.7188841104507446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7129921317100525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6696425676345825},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.501812219619751},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.47696244716644287},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4559181332588196},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.4222252070903778},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09981018304824829},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2023.3340892","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2023.3340892","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W2065429801","https://openalex.org/W2150066425","https://openalex.org/W2559882727","https://openalex.org/W2560722161","https://openalex.org/W2698857938","https://openalex.org/W2796426482","https://openalex.org/W2798314605","https://openalex.org/W2798786289","https://openalex.org/W2886499109","https://openalex.org/W2902435045","https://openalex.org/W2905288042","https://openalex.org/W2953668091","https://openalex.org/W2963648573","https://openalex.org/W2963926543","https://openalex.org/W2964325922","https://openalex.org/W2979750740","https://openalex.org/W2987530805","https://openalex.org/W2990173985","https://openalex.org/W2990613095","https://openalex.org/W2997088169","https://openalex.org/W3015248322","https://openalex.org/W3034493208","https://openalex.org/W3035172746","https://openalex.org/W3035524985","https://openalex.org/W3041273049","https://openalex.org/W3097606102","https://openalex.org/W3109518641","https://openalex.org/W3111535274","https://openalex.org/W3166470370","https://openalex.org/W3170030651","https://openalex.org/W3170754649","https://openalex.org/W3173744995","https://openalex.org/W3176578302","https://openalex.org/W3176941685","https://openalex.org/W3191078243","https://openalex.org/W3191573718","https://openalex.org/W3192873895","https://openalex.org/W3203898101","https://openalex.org/W3209489005","https://openalex.org/W3216015562","https://openalex.org/W4214505563","https://openalex.org/W4214755140","https://openalex.org/W4225986494","https://openalex.org/W4226264213","https://openalex.org/W4297325908","https://openalex.org/W4302356851","https://openalex.org/W4312239271","https://openalex.org/W4312607395","https://openalex.org/W4312784800","https://openalex.org/W4315631092","https://openalex.org/W4321020960","https://openalex.org/W4381785371","https://openalex.org/W6687484953","https://openalex.org/W6739778489","https://openalex.org/W6755143522","https://openalex.org/W6761686903","https://openalex.org/W6763236253","https://openalex.org/W6763422710","https://openalex.org/W6766395216","https://openalex.org/W6779923959","https://openalex.org/W6780381020","https://openalex.org/W6781568228","https://openalex.org/W6843220554","https://openalex.org/W6849137104"],"related_works":["https://openalex.org/W1622964048","https://openalex.org/W30315714","https://openalex.org/W1965274140","https://openalex.org/W779885325","https://openalex.org/W2150972844","https://openalex.org/W2393615320","https://openalex.org/W3110435694","https://openalex.org/W2185145003","https://openalex.org/W2001760863","https://openalex.org/W2138181839"],"abstract_inverted_index":{"Point":[0],"clouds":[1],"captured":[2],"by":[3,205,247],"scanning":[4],"devices":[5],"are":[6,93,238],"often":[7],"incomplete":[8],"due":[9],"to":[10,23,62,95,105,121,130,159,172,194,199,240,258],"occlusion.":[11],"To":[12,143,180,210],"overcome":[13],"this":[14,65],"limitation,":[15],"point":[16,56,72,81,102,141,149,187,221],"cloud":[17,73,222],"completion":[18,74,223],"methods":[19,37,246],"have":[20],"been":[21],"developed":[22],"predict":[24],"the":[25,89,109,132,139,145,153,157,160,165,174,177,182,185,196,200,203,206,211,219,243,265],"complete":[26,55,80,90,99],"shape":[27,146],"of":[28,53,88,108,147,156,168,176,184,213,235,242],"an":[29,70],"object":[30,158],"based":[31],"on":[32],"its":[33,169],"partial":[34,140],"input.":[35],"These":[36],"can":[38],"be":[39,60],"broadly":[40],"classified":[41],"as":[42],"supervised":[43,260],"or":[44],"unsupervised.":[45],"However,":[46],"both":[47],"categories":[48],"require":[49,228],"a":[50,117,127,191,248],"large":[51,249],"number":[52],"3D":[54,79,98,135,230],"clouds,":[57,150,188],"which":[58,92],"may":[59],"difficult":[61],"capture.":[63],"In":[64],"paper,":[66],"we":[67,115,151,189],"propose":[68,190],"Cross-PCC,":[69],"unsupervised":[71,245],"method":[75,224,237,253],"without":[76],"requiring":[77],"any":[78,229],"clouds.":[82,103],"We":[83,262],"only":[84],"utilize":[85],"2D":[86,113,123,133,161],"images":[87],"objects,":[91],"easier":[94],"capture":[96],"than":[97],"and":[100,125,134,163],"clean":[101],"Specifically,":[104],"take":[106],"advantage":[107],"complementary":[110],"information":[111],"from":[112,138],"images,":[114],"use":[116,164],"single-view":[118,207],"RGB":[119],"image":[120],"extract":[122],"features":[124,136],"design":[126],"fusion":[128],"module":[129],"fuse":[131],"extracted":[137],"cloud.":[142],"guide":[144],"predicted":[148,154,186],"project":[152],"points":[155,197],"plane":[162],"foreground":[166,204],"pixels":[167],"silhouette":[170,208],"maps":[171],"constrain":[173],"position":[175],"projected":[178,198],"points.":[179],"reduce":[181],"outliers":[183],"view":[192],"calibrator":[193],"move":[195],"background":[201],"into":[202],"image.":[209],"best":[212],"our":[214,216,236,252],"knowledge,":[215],"approach":[217],"is":[218],"first":[220],"that":[225],"does":[226],"not":[227],"supervision.":[231],"The":[232],"experimental":[233],"results":[234],"superior":[239],"those":[241],"state-of-the-art":[244],"margin.":[250],"Moreover,":[251],"even":[254],"achieves":[255],"comparable":[256],"performance":[257],"some":[259],"methods.":[261],"will":[263],"make":[264],"source":[266],"code":[267],"publicly":[268],"available":[269],"at":[270],"<uri":[271],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[272],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/ltwu6/cross-pcc</uri>":[273]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}