{"id":"https://openalex.org/W7167617499","doi":"https://doi.org/10.48550/arxiv.2607.02568","title":"MAGE: View-guided Point Cloud Completion with Efficient Modality Alignment and Adaptive Geometry Enhancement","display_name":"MAGE: View-guided Point Cloud Completion with Efficient Modality Alignment and Adaptive Geometry Enhancement","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7167617499","doi":"https://doi.org/10.48550/arxiv.2607.02568"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.02568","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02568","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.02568","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140194459","display_name":"Weize Quan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quan, Weize","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104036081","display_name":"Z Z Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Zhengwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140193186","display_name":"Kai Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140190106","display_name":"Dong-Ming Yan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan, Dong-Ming","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.953499972820282,"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":0.953499972820282,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.00839999970048666,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.004399999976158142,"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":0.7533000111579895},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.5605999827384949},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5042999982833862},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.436599999666214},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41670000553131104},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.3612000048160553},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3610999882221222}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7533000111579895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6251000165939331},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.5605999827384949},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5049999952316284},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5042999982833862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48809999227523804},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.436599999666214},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41670000553131104},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3521000146865845},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.35199999809265137},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3325999975204468},{"id":"https://openalex.org/C193581530","wikidata":"https://www.wikidata.org/wiki/Q683778","display_name":"Structured light","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C126795593","wikidata":"https://www.wikidata.org/wiki/Q7333813","display_name":"Rigid transformation","level":2,"score":0.3109000027179718},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2671999931335449},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.26570001244544983},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.26409998536109924}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.02568","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02568","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.02568","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.02568","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"View-based":[0],"point":[1,14,65,94],"cloud":[2,66,95],"completion":[3,166],"aims":[4,86],"to":[5,30,58,87,97,148],"recover":[6],"a":[7,12,18,44,71,77,101,143,154],"complete":[8],"3D":[9,107],"shape":[10,115],"from":[11,26],"partial":[13],"cloud,":[15],"guided":[16],"by":[17,75],"single-view":[19],"image.":[20],"However,":[21],"existing":[22,187],"approaches":[23],"often":[24],"suffer":[25],"limited":[27,35],"performance":[28,167,185],"due":[29],"weak":[31],"modality":[32,51,73],"alignment":[33,52,74],"and":[34,53,81,93,116,134,176],"self-geometry":[36],"enhancement.":[37],"To":[38,109],"overcome":[39],"these":[40],"challenges,":[41],"we":[42,69,120,141],"propose":[43,70,121],"unified":[45],"geometry-aware":[46,72,124,131],"framework":[47],"that":[48,180],"integrates":[49],"efficient":[50],"adaptive":[54,123],"geometry":[55],"enhancement,":[56],"mainly":[57],"address":[59],"cross-modal":[60],"geometric":[61,118],"inconsistency":[62],"of":[63,90,113,157,168],"view-guided":[64],"completion.":[67],"Specifically,":[68],"integrating":[76],"shared":[78,102],"self-attention":[79,125],"Transformer":[80],"cross-modality":[82],"reconstruction":[83],"supervision,":[84,162],"which":[85,127],"bring":[88],"features":[89],"the":[91,106,111,135,150,158,165],"image":[92],"close":[96],"each":[98],"other":[99],"in":[100],"latent":[103],"space":[104],"describing":[105],"object.":[108],"enhance":[110],"perception":[112],"global":[114],"local":[117,130,155],"details,":[119],"an":[122],"module,":[126],"simultaneously":[128],"considers":[129],"attention":[132],"computation":[133],"spatially-variant":[136],"feature":[137],"fusion.":[138],"In":[139],"addition,":[140],"apply":[142],"geometry-perceptive":[144],"anchor":[145,151],"refinement":[146],"module":[147],"reorganize":[149],"points":[152],"(representing":[153],"region":[156],"shape)":[159],"under":[160],"appropriate":[161],"further":[163],"boosting":[164],"our":[169,181],"method.":[170],"Extensive":[171],"experiments":[172],"on":[173],"both":[174],"synthetic":[175],"real-world":[177],"datasets":[178],"demonstrate":[179],"method":[182],"achieves":[183],"superior":[184],"over":[186],"approaches.":[188],"Our":[189],"code":[190],"will":[191],"be":[192],"available":[193],"at":[194],"https://github.com/weizequan/MAGE.":[195]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-08T00:00:00"}