{"id":"https://openalex.org/W4309099691","doi":"https://doi.org/10.1109/tnnls.2022.3211929","title":"Single-Image 3-D Reconstruction: Rethinking Point Cloud Deformation","display_name":"Single-Image 3-D Reconstruction: Rethinking Point Cloud Deformation","publication_year":2022,"publication_date":"2022-11-14","ids":{"openalex":"https://openalex.org/W4309099691","doi":"https://doi.org/10.1109/tnnls.2022.3211929","pmid":"https://pubmed.ncbi.nlm.nih.gov/36374893"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3211929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3211929","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100616331","display_name":"Duc Chien Nguyen","orcid":"https://orcid.org/0000-0001-7759-1134"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Anh-Duc Nguyen","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7759-1134","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084276309","display_name":"Seonghwa Choi","orcid":"https://orcid.org/0009-0008-8095-5232"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seonghwa Choi","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101619405","display_name":"Woojae Kim","orcid":"https://orcid.org/0000-0002-8312-9736"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woojae Kim","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8312-9736","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102916130","display_name":"Jongyoo Kim","orcid":"https://orcid.org/0000-0002-2435-9195"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jongyoo Kim","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2435-9195","affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037805423","display_name":"Heeseok Oh","orcid":"https://orcid.org/0000-0002-0920-7281"},"institutions":[{"id":"https://openalex.org/I24214720","display_name":"Hansung University","ror":"https://ror.org/048m9x696","country_code":"KR","type":"education","lineage":["https://openalex.org/I24214720"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heeseok Oh","raw_affiliation_strings":["Department of Applied AI, Hansung University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0920-7281","affiliations":[{"raw_affiliation_string":"Department of Applied AI, Hansung University, Seoul, South Korea","institution_ids":["https://openalex.org/I24214720"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000307942","display_name":"Jiwoo Kang","orcid":"https://orcid.org/0000-0001-7622-0817"},"institutions":[{"id":"https://openalex.org/I31766871","display_name":"Sookmyung Women's University","ror":"https://ror.org/00vvvt117","country_code":"KR","type":"education","lineage":["https://openalex.org/I31766871"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwoo Kang","raw_affiliation_strings":["Division of Artificial Intelligence Engineering, Sookmyung Women&#x2019;s University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-7622-0817","affiliations":[{"raw_affiliation_string":"Division of Artificial Intelligence Engineering, Sookmyung Women&#x2019;s University, Seoul, South Korea","institution_ids":["https://openalex.org/I31766871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100320181","display_name":"Sanghoon Lee","orcid":"https://orcid.org/0000-0001-9895-5347"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghoon Lee","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-9895-5347","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8276,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86735196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"5","first_page":"6613","last_page":"6627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9994999766349792,"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":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.827747106552124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7218134999275208},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5811099410057068},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5740137696266174},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.561983048915863},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5392864942550659},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5321259498596191},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5281928777694702},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4831235110759735},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.449504017829895},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43797609210014343},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.423324853181839},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40921249985694885},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1590215265750885},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1509852111339569}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.827747106552124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218134999275208},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5811099410057068},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5740137696266174},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.561983048915863},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5392864942550659},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5321259498596191},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5281928777694702},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4831235110759735},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.449504017829895},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43797609210014343},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.423324853181839},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40921249985694885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1590215265750885},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1509852111339569},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3211929","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3211929","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:36374893","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36374893","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W253426031","https://openalex.org/W1562394466","https://openalex.org/W1593593811","https://openalex.org/W1901129140","https://openalex.org/W1920022804","https://openalex.org/W2033819227","https://openalex.org/W2044407170","https://openalex.org/W2088629531","https://openalex.org/W2119857899","https://openalex.org/W2125389028","https://openalex.org/W2132947399","https://openalex.org/W2151387816","https://openalex.org/W2151996626","https://openalex.org/W2168545424","https://openalex.org/W2194775991","https://openalex.org/W2342277278","https://openalex.org/W2560609797","https://openalex.org/W2560722161","https://openalex.org/W2566149141","https://openalex.org/W2603777577","https://openalex.org/W2698857938","https://openalex.org/W2735451741","https://openalex.org/W2807793257","https://openalex.org/W2888880110","https://openalex.org/W2891156870","https://openalex.org/W2895596173","https://openalex.org/W2896457183","https://openalex.org/W2905288042","https://openalex.org/W2905544027","https://openalex.org/W2937532565","https://openalex.org/W2945957791","https://openalex.org/W2962778872","https://openalex.org/W2962912205","https://openalex.org/W2962988048","https://openalex.org/W2963527086","https://openalex.org/W2963627347","https://openalex.org/W2963739349","https://openalex.org/W2964015378","https://openalex.org/W2970675500","https://openalex.org/W2971254449","https://openalex.org/W2979750740","https://openalex.org/W2982131530","https://openalex.org/W2985683375","https://openalex.org/W2986023562","https://openalex.org/W2990578762","https://openalex.org/W3003389268","https://openalex.org/W3010623357","https://openalex.org/W3033105545","https://openalex.org/W3035507572","https://openalex.org/W3035750285","https://openalex.org/W3092948912","https://openalex.org/W3108381027","https://openalex.org/W3109585842","https://openalex.org/W3134233478","https://openalex.org/W3159981575","https://openalex.org/W3204455502","https://openalex.org/W3212953023","https://openalex.org/W4214731463","https://openalex.org/W4233857083","https://openalex.org/W4251321576","https://openalex.org/W4252337780","https://openalex.org/W4288627354","https://openalex.org/W6631190155","https://openalex.org/W6634138237","https://openalex.org/W6637373629","https://openalex.org/W6678815747","https://openalex.org/W6680323127","https://openalex.org/W6687484953","https://openalex.org/W6729001083","https://openalex.org/W6729687604","https://openalex.org/W6738438352","https://openalex.org/W6739778489","https://openalex.org/W6744580074","https://openalex.org/W6745947945","https://openalex.org/W6748208425","https://openalex.org/W6755143522","https://openalex.org/W6755207826","https://openalex.org/W6755466756","https://openalex.org/W6757146666","https://openalex.org/W6759118810","https://openalex.org/W6766622767","https://openalex.org/W6770063859","https://openalex.org/W6778990197","https://openalex.org/W6779669310","https://openalex.org/W6780879210","https://openalex.org/W6784492152","https://openalex.org/W6791548515"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W2802581102","https://openalex.org/W4282934273"],"abstract_inverted_index":{"Single-image":[0],"3-D":[1,18,35,244],"reconstruction":[2],"has":[3],"long":[4],"been":[5,14],"a":[6,52,61,67,74,102,111,125,161,235],"challenging":[7],"problem.":[8],"Recent":[9],"deep":[10,219],"learning":[11],"approaches":[12],"have":[13],"introduced":[15],"to":[16,23,31,65,151,164,183,201,221],"this":[17,57],"area,":[19],"but":[20,141],"the":[21,37,40,43,49,117,133,172,185,206,217,230],"ability":[22],"generate":[24,210],"point":[25,68,114,175,186,213],"clouds":[26],"still":[27,76],"remains":[28],"limited":[29],"due":[30],"inefficient":[32],"and":[33,42,89,97,106,233],"expensive":[34],"representations,":[36],"dependency":[38],"between":[39,135],"output":[41],"number":[44],"of":[45,51,70,174,194],"model":[46,208],"parameters,":[47],"or":[48],"lack":[50],"suitable":[53],"computing":[54],"operation.":[55],"In":[56,116,188],"article,":[58],"we":[59,123,158,177,190,228],"present":[60],"novel":[62],"deep-learning-based":[63],"method":[64,80,220],"reconstruct":[66],"cloud":[69],"an":[71,180,211],"object":[72,104],"from":[73,101,167,198],"single":[75],"image.":[77],"The":[78,91,146],"proposed":[79,207],"can":[81,148,209],"be":[82,149],"decomposed":[83],"into":[84,110],"two":[85],"steps:":[86],"feature":[87],"fusion":[88],"deformation.":[90],"first":[92,218],"step":[93],"extracts":[94],"both":[95],"global":[96],"point-specific":[98],"shape":[99],"features":[100],"2-D":[103],"image,":[105],"then":[107],"injects":[108],"them":[109],"randomly":[112],"generated":[113],"cloud.":[115],"second":[118],"step,":[119],"which":[120,215],"is":[121,216],"deformation,":[122],"introduce":[124,191],"new":[126,236],"layer":[127],"termed":[128],"as":[129,157],"GraphX":[130,195],"that":[131,196,227],"considers":[132],"interrelationship":[134],"points":[136],"like":[137],"common":[138],"graph":[139],"convolutions":[140],"operates":[142],"on":[143],"unordered":[144],"sets.":[145],"framework":[147],"applicable":[150],"realistic":[152],"image":[153],"data":[154],"with":[155],"background":[156],"optionally":[159],"learn":[160],"mask":[162],"branch":[163],"segment":[165],"objects":[166],"input":[168],"images.":[169],"To":[170],"complement":[171],"quality":[173],"clouds,":[176],"further":[178],"propose":[179],"objective":[181],"function":[182],"control":[184],"uniformity.":[187],"addition,":[189],"different":[192,239],"variants":[193],"cover":[197],"best":[199,202],"performance":[200,240],"memory":[203],"budget.":[204],"Moreover,":[205],"arbitrary-sized":[212],"cloud,":[214],"do":[222],"so.":[223],"Extensive":[224],"experiments":[225],"demonstrate":[226],"outperform":[229],"existing":[231],"models":[232],"set":[234],"height":[237],"for":[238],"metrics":[241],"in":[242],"single-image":[243],"reconstruction.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
