{"id":"https://openalex.org/W3148420801","doi":"https://doi.org/10.1109/tmm.2021.3068606","title":"Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning","display_name":"Dynamic Point Cloud Inpainting via Spatial-Temporal Graph Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3148420801","doi":"https://doi.org/10.1109/tmm.2021.3068606","mag":"3148420801"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3068606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3068606","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/A5020125508","display_name":"Zeqing Fu","orcid":"https://orcid.org/0000-0003-0641-4696"},"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":"Zeqing Fu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0641-4696","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059045087","display_name":"Wei Hu","orcid":"https://orcid.org/0000-0002-9860-0922"},"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":"Wei Hu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9860-0922","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":2.1298,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.85647575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"23","issue":null,"first_page":"3022","last_page":"3034"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9986000061035156,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9954000115394592,"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/inpainting","display_name":"Inpainting","score":0.855232834815979},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7781329154968262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7585146427154541},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6275748014450073},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6182239055633545},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43219679594039917},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18795791268348694}],"concepts":[{"id":"https://openalex.org/C11727466","wikidata":"https://www.wikidata.org/wiki/Q1628157","display_name":"Inpainting","level":3,"score":0.855232834815979},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7781329154968262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7585146427154541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6275748014450073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6182239055633545},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43219679594039917},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18795791268348694},{"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/tmm.2021.3068606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3068606","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":[{"id":"https://openalex.org/G3604809996","display_name":"\u57fa\u4e8e\u8c31\u56fe\u7406\u8bba\u7684\u591a\u5206\u8fa8\u7387\u56fe\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7814\u7a76","funder_award_id":"61972009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4858363108","display_name":null,"funder_award_id":"19L2053","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W819161727","https://openalex.org/W1498318113","https://openalex.org/W1521071054","https://openalex.org/W1541335461","https://openalex.org/W1569530544","https://openalex.org/W1578099820","https://openalex.org/W1956482297","https://openalex.org/W1965106955","https://openalex.org/W1980811840","https://openalex.org/W1983599491","https://openalex.org/W1991252559","https://openalex.org/W1997181825","https://openalex.org/W2047701894","https://openalex.org/W2049981393","https://openalex.org/W2069973741","https://openalex.org/W2101491865","https://openalex.org/W2102007813","https://openalex.org/W2123820077","https://openalex.org/W2129107602","https://openalex.org/W2140711847","https://openalex.org/W2144392304","https://openalex.org/W2167724667","https://openalex.org/W2227290239","https://openalex.org/W2410716896","https://openalex.org/W2442852286","https://openalex.org/W2463327569","https://openalex.org/W2501990301","https://openalex.org/W2571662414","https://openalex.org/W2585019672","https://openalex.org/W2593294478","https://openalex.org/W2597740323","https://openalex.org/W2622735597","https://openalex.org/W2751451999","https://openalex.org/W2772282838","https://openalex.org/W2774363395","https://openalex.org/W2790044661","https://openalex.org/W2793293836","https://openalex.org/W2796431263","https://openalex.org/W2798517877","https://openalex.org/W2890896661","https://openalex.org/W2903871660","https://openalex.org/W2962822302","https://openalex.org/W2963026027","https://openalex.org/W2963076818","https://openalex.org/W2963384510","https://openalex.org/W2971302076","https://openalex.org/W2973194960","https://openalex.org/W2981341885","https://openalex.org/W2994097903","https://openalex.org/W2996847713","https://openalex.org/W2998456637","https://openalex.org/W2999128473","https://openalex.org/W3034991172","https://openalex.org/W3049833077","https://openalex.org/W3098354891","https://openalex.org/W3100220783","https://openalex.org/W3100282875","https://openalex.org/W3101494737","https://openalex.org/W3199986655","https://openalex.org/W3204306765","https://openalex.org/W4230962939","https://openalex.org/W4249556557","https://openalex.org/W6632566920","https://openalex.org/W6634138237","https://openalex.org/W6649453560","https://openalex.org/W6739017038","https://openalex.org/W6772838925","https://openalex.org/W6781547547","https://openalex.org/W6802656013","https://openalex.org/W6825635574"],"related_works":["https://openalex.org/W2135359786","https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747"],"abstract_inverted_index":{"The":[0,123],"maturity":[1],"of":[2,14,21,31,50,192],"depth":[3],"sensors":[4],"and":[5,40,91,119,159,178,197,211,219,246],"laser":[6],"scanning":[7],"techniques":[8],"has":[9,69],"enabled":[10],"the":[11,58,82,88,115,120,126,132,144,151,156,161,170,174,193,207,214,221,234],"convenient":[12],"acquisition":[13],"3D":[15,22,136],"dynamic":[16,44,101,183],"point":[17,45,66,102,184,195],"clouds\u2014one":[18],"natural":[19],"representation":[20],"objects/scenes":[23],"in":[24,87,135,147,169,206,213],"motion,":[25],"leading":[26,223],"to":[27,57,81,224],"a":[28,108,188],"wide":[29],"range":[30],"applications":[32],"such":[33],"as":[34,187],"immersive":[35],"tele-presence,":[36],"autonomous":[37],"driving,":[38],"augmented":[39],"virtual":[41],"reality.":[42],"Nevertheless,":[43],"clouds":[46],"usually":[47],"exhibit":[48],"holes":[49,245],"missing":[51],"data,":[52],"thus":[53],"inpainting":[54,68,104,186],"is":[55,76,125,202],"crucial":[56],"subsequent":[59],"rendering":[60],"or":[61],"downstream":[62],"understanding":[63],"tasks.":[64],"Dynamic":[65],"cloud":[67,103,185,196],"been":[70],"largely":[71],"overlooked":[72],"so":[73],"far,":[74],"which":[75,141,201],"also":[77],"quite":[78],"challenging":[79],"due":[80],"irregular":[83],"sampling":[84],"patterns":[85],"both":[86,114,242],"spatial":[89,215],"domain":[90],"temporal":[92,145,166,208],"domain.":[93,216],"To":[94],"this":[95],"end,":[96],"we":[97,142,181],"propose":[98],"an":[99,225],"efficient":[100,226],"method":[105],"based":[106],"on":[107,173,243],"learnable":[109],"spatial-temporal":[110,199],"graph":[111],"representation,":[112],"exploiting":[113],"second-order":[116,127,175],"inter-frame":[117,128,176],"coherence":[118,129,177],"intra-frame":[121,179],"self-similarity.":[122],"key":[124],"that":[130,233],"enforces":[131],"consistent":[133],"flow":[134],"motion":[137],"over":[138],"time,":[139],"for":[140,150],"search":[143],"correspondence":[146],"consecutive":[148],"frames":[149],"same":[152],"underlying":[153,198],"surface":[154],"by":[155,204],"point-to-plane":[157],"distance":[158],"represent":[160],"correlation":[162],"between":[163],"them":[164],"via":[165],"edge":[167,209],"weights":[168,210],"graph.":[171],"Based":[172],"self-similarity,":[180],"formulate":[182],"joint":[189],"optimization":[190],"problem":[191],"desired":[194],"graph,":[200],"regularized":[203],"consistency":[205],"smoothness":[212],"We":[217],"analyze":[218],"reformulate":[220],"optimization,":[222],"alternating":[227],"minimization":[228],"algorithm.":[229],"Experimental":[230],"results":[231],"show":[232],"proposed":[235],"approach":[236],"outperforms":[237],"several":[238],"competing":[239],"methods":[240],"significantly,":[241],"synthetic":[244],"real":[247],"holes.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}