{"id":"https://openalex.org/W3192240783","doi":"https://doi.org/10.1109/cvpr46437.2021.00842","title":"Variational Relational Point Completion Network","display_name":"Variational Relational Point Completion Network","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3192240783","doi":"https://doi.org/10.1109/cvpr46437.2021.00842","mag":"3192240783"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr46437.2021.00842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr46437.2021.00842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5100612025","display_name":"Liang Pan","orcid":"https://orcid.org/0000-0003-1821-4296"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Liang Pan","raw_affiliation_strings":["S-Lab, Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100457120","display_name":"Xinyi Chen","orcid":"https://orcid.org/0009-0003-5797-7111"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Xinyi Chen","raw_affiliation_strings":["S-Lab, Nanyang Technological University","SenseTime Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"SenseTime Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054947207","display_name":"Zhongang Cai","orcid":"https://orcid.org/0000-0002-1810-3855"},"institutions":[{"id":"https://openalex.org/I4210122302","display_name":"ShangHai JiAi Genetics & IVF Institute","ror":"https://ror.org/02rgbry52","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210122302"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongang Cai","raw_affiliation_strings":["SenseTime Research","Shanghai AI Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research","institution_ids":[]},{"raw_affiliation_string":"Shanghai AI Laboratory","institution_ids":["https://openalex.org/I4210122302","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101956300","display_name":"Junzhe Zhang","orcid":"https://orcid.org/0000-0003-1931-8046"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Junzhe Zhang","raw_affiliation_strings":["S-Lab, Nanyang Technological University","SenseTime Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"SenseTime Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103190281","display_name":"Haiyu Zhao","orcid":"https://orcid.org/0000-0002-0415-4248"},"institutions":[{"id":"https://openalex.org/I4210122302","display_name":"ShangHai JiAi Genetics & IVF Institute","ror":"https://ror.org/02rgbry52","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210122302"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyu Zhao","raw_affiliation_strings":["SenseTime Research","Shanghai AI Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research","institution_ids":[]},{"raw_affiliation_string":"Shanghai AI Laboratory","institution_ids":["https://openalex.org/I4210122302","https://openalex.org/I4391012619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101696728","display_name":"Shuai Yi","orcid":"https://orcid.org/0000-0002-1253-6633"},"institutions":[{"id":"https://openalex.org/I4210122302","display_name":"ShangHai JiAi Genetics & IVF Institute","ror":"https://ror.org/02rgbry52","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210122302"]},{"id":"https://openalex.org/I4391012619","display_name":"Shanghai Artificial Intelligence Laboratory","ror":"https://ror.org/03wkvpx79","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4391012619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuai Yi","raw_affiliation_strings":["SenseTime Research","Shanghai AI Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SenseTime Research","institution_ids":[]},{"raw_affiliation_string":"Shanghai AI Laboratory","institution_ids":["https://openalex.org/I4210122302","https://openalex.org/I4391012619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100406050","display_name":"Ziwei Liu","orcid":"https://orcid.org/0000-0002-4220-5958"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Ziwei Liu","raw_affiliation_strings":["S-Lab, Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"S-Lab, Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":53.279,"has_fulltext":false,"cited_by_count":240,"citation_normalized_percentile":{"value":0.99768802,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"8520","last_page":"8529"},"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":0.9957000017166138,"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.995199978351593,"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/point-cloud","display_name":"Point cloud","score":0.8492339253425598},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6874006986618042},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5851592421531677},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5560054779052734},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5059265494346619},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5009188652038574},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4831406772136688},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4390125274658203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43433690071105957},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4287014305591583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4003394842147827},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.372799277305603},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20807379484176636},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.10933756828308105}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.8492339253425598},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6874006986618042},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5851592421531677},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5560054779052734},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5059265494346619},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5009188652038574},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4831406772136688},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4390125274658203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43433690071105957},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4287014305591583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4003394842147827},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.372799277305603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20807379484176636},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.10933756828308105},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr46437.2021.00842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr46437.2021.00842","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1920022804","https://openalex.org/W1992642990","https://openalex.org/W2061987443","https://openalex.org/W2150066425","https://openalex.org/W2194775991","https://openalex.org/W2594519801","https://openalex.org/W2618530766","https://openalex.org/W2738551266","https://openalex.org/W2793479075","https://openalex.org/W2796426482","https://openalex.org/W2885317998","https://openalex.org/W2886499109","https://openalex.org/W2922509574","https://openalex.org/W2944579304","https://openalex.org/W2949718784","https://openalex.org/W2953668091","https://openalex.org/W2963121255","https://openalex.org/W2963231572","https://openalex.org/W2963255313","https://openalex.org/W2963523109","https://openalex.org/W2964121744","https://openalex.org/W2979750740","https://openalex.org/W2983446232","https://openalex.org/W2990613095","https://openalex.org/W2997088169","https://openalex.org/W3025708905","https://openalex.org/W3034885317","https://openalex.org/W3035014292","https://openalex.org/W3108012830","https://openalex.org/W3109518641","https://openalex.org/W4298395628","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640300118","https://openalex.org/W6739778489","https://openalex.org/W6747904511","https://openalex.org/W6749579967","https://openalex.org/W6766586516","https://openalex.org/W6777239595"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W1519058190"],"abstract_inverted_index":{"Real-scanned":[0],"point":[1,13,56,88,95,105,128,132,139,159,196,209],"clouds":[2,89],"are":[3],"often":[4],"incomplete":[5],"due":[6],"to":[7,18,74,136],"viewpoint,":[8],"occlusion,":[9],"and":[10,23,81,131,205],"noise.":[11],"Existing":[12],"cloud":[14,160,197,210],"completion":[15,198],"methods":[16,192],"tend":[17],"generate":[19],"global":[20],"shape":[21,144],"skeletons":[22],"hence":[24],"lack":[25],"fine":[26],"local":[27,143],"details.":[28],"Furthermore,":[29],"they":[30],"mostly":[31],"learn":[32],"a":[33,51,71,94,156],"deterministic":[34],"partial-to-complete":[35],"mapping,":[36],"but":[37],"overlook":[38],"structural":[39],"relations":[40],"in":[41],"man-made":[42],"objects.":[43],"To":[44],"tackle":[45],"these":[46],"challenges,":[47],"this":[48],"paper":[49],"proposes":[50],"variational":[52],"framework,":[53],"Variational":[54],"Relational":[55,122],"Completion":[57],"network":[58],"(VRC-Net)":[59],"with":[60],"two":[61],"appealing":[62],"properties:":[63],"1)":[64],"Probabilistic":[65],"Modeling.":[66],"In":[67,152],"particular,":[68],"we":[69,125,154],"propose":[70],"dual-path":[72],"architecture":[73],"enable":[75],"principled":[76],"probabilistic":[77],"modeling":[78],"across":[79],"partial":[80,104,158,171],"complete":[82,87,101],"clouds.":[83],"One":[84],"path":[85,99,118],"consumes":[86],"for":[90,103,180],"reconstruction":[91,117],"by":[92,112],"learning":[93],"VAE.":[96],"The":[97],"other":[98],"generates":[100],"shapes":[102,173],"clouds,":[106],"whose":[107],"embedded":[108],"distribution":[109,113],"is":[110],"guided":[111],"obtained":[114],"from":[115,174],"the":[116,149],"during":[119],"training.":[120],"2)":[121],"Enhancement.":[123],"Specifically,":[124],"carefully":[126],"design":[127],"self-attention":[129],"kernel":[130,134],"selective":[133],"module":[135],"exploit":[137],"relational":[138],"features,":[140],"which":[141,169],"refines":[142],"de":[145],"tails":[146],"conditioned":[147],"on":[148,193,207],"coarse":[150],"completion.":[151],"addition,":[153],"contribute":[155],"multi-view":[157],"dataset":[161],"(MVP":[162],"dataset)":[163],"containing":[164],"over":[165],"100,000":[166],"high-quality":[167],"scans,":[168],"renders":[170],"3D":[172,182],"26":[175],"uniformly":[176],"distributed":[177],"camera":[178],"poses":[179],"each":[181],"CAD":[183],"model.":[184],"Extensive":[185],"experiments":[186],"demonstrate":[187],"that":[188],"VRCNet":[189,201],"outperforms":[190],"state-of-the-art":[191],"all":[194],"standard":[195],"benchmarks.":[199],"Notably,":[200],"shows":[202],"great":[203],"generalizability":[204],"robustness":[206],"real-world":[208],"scans.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":41},{"year":2024,"cited_by_count":67},{"year":2023,"cited_by_count":55},{"year":2022,"cited_by_count":51},{"year":2021,"cited_by_count":5}],"updated_date":"2026-08-14T07:06:38.338062","created_date":"2025-10-10T00:00:00"}