{"id":"https://openalex.org/W4390690465","doi":"https://doi.org/10.48550/arxiv.2401.02937","title":"Locally Adaptive Neural 3D Morphable Models","display_name":"Locally Adaptive Neural 3D Morphable Models","publication_year":2024,"publication_date":"2024-01-05","ids":{"openalex":"https://openalex.org/W4390690465","doi":"https://doi.org/10.48550/arxiv.2401.02937"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2401.02937","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.02937","pdf_url":"https://arxiv.org/pdf/2401.02937","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2401.02937","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034935223","display_name":"Michail Tarasiou","orcid":"https://orcid.org/0000-0002-6282-4529"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tarasiou, Michail","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047299059","display_name":"Rolandos Alexandros Potamias","orcid":"https://orcid.org/0000-0003-0049-2589"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Potamias, Rolandos Alexandros","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109492815","display_name":"Eimear O'Sullivan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"O'Sullivan, Eimear","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088913907","display_name":"Stylianos Ploumpis","orcid":"https://orcid.org/0000-0002-4836-1513"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ploumpis, Stylianos","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5080553022","display_name":"Stefanos Zafeiriou","orcid":"https://orcid.org/0000-0002-5222-1740"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zafeiriou, Stefanos","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5034935223"],"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":0.9995999932289124,"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":0.9994000196456909,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9951000213623047,"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/polygon-mesh","display_name":"Polygon mesh","score":0.8335916996002197},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6505832672119141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636346697807312},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.6261906623840332},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6156702041625977},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5737035870552063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4633197486400604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4632825255393982},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46319764852523804},{"id":"https://openalex.org/keywords/geometry-processing","display_name":"Geometry processing","score":0.42017924785614014},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3868105113506317},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.37013667821884155},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2033192217350006}],"concepts":[{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.8335916996002197},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6505832672119141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636346697807312},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.6261906623840332},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6156702041625977},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5737035870552063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4633197486400604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4632825255393982},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46319764852523804},{"id":"https://openalex.org/C2779521785","wikidata":"https://www.wikidata.org/wiki/Q5535529","display_name":"Geometry processing","level":3,"score":0.42017924785614014},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3868105113506317},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.37013667821884155},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2033192217350006},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2401.02937","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.02937","pdf_url":"https://arxiv.org/pdf/2401.02937","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2401.02937","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2401.02937","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2401.02937","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.02937","pdf_url":"https://arxiv.org/pdf/2401.02937","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390690465.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2739068242","https://openalex.org/W2075574617","https://openalex.org/W2128904762","https://openalex.org/W3037855741","https://openalex.org/W2226537123","https://openalex.org/W2098443654","https://openalex.org/W2066856754","https://openalex.org/W1596944841","https://openalex.org/W2486156819","https://openalex.org/W2182960111"],"abstract_inverted_index":{"We":[0,22,162],"present":[1,177],"the":[2,47,71,77,81,100,107,140],"Locally":[3],"Adaptive":[4],"Morphable":[5],"Model":[6],"(LAMM),":[7],"a":[8,27,37,64,121,137,158,169,178],"highly":[9],"flexible":[10],"Auto-Encoder":[11],"(AE)":[12],"framework":[13,110],"for":[14,171],"learning":[15],"to":[16,45,52,70,133],"generate":[17],"and":[18,95,146,176,186,191],"manipulate":[19],"3D":[20,96,117],"meshes.":[21],"train":[23,134],"our":[24,61,103,131],"architecture":[25],"following":[26],"simple":[28],"self-supervised":[29],"training":[30,55],"scheme":[31],"in":[32,50,87,90,120],"which":[33],"input":[34],"displacements":[35],"over":[36],"set":[38,179],"of":[39,80,102,116,139,180],"sparse":[40,73],"control":[41,115,167],"vertices":[42],"are":[43],"used":[44],"overwrite":[46],"encoded":[48,82],"geometry":[49,74,94,119,166],"order":[51],"transform":[53],"one":[54],"sample":[56],"into":[57],"another.":[58],"During":[59],"inference,":[60,150],"model":[62],"produces":[63],"dense":[65],"output":[66],"that":[67,111],"adheres":[68],"locally":[69],"specified":[72],"while":[75],"maintaining":[76],"overall":[78],"appearance":[79],"object.":[83],"This":[84],"approach":[85],"results":[86],"state-of-the-art":[88],"performance":[89],"both":[91],"disentangling":[92],"manipulated":[93],"mesh":[97],"reconstruction.":[98],"To":[99],"best":[101],"knowledge":[104],"LAMM":[105],"is":[106],"first":[108],"end-to-end":[109],"enables":[112],"direct":[113],"local":[114,165],"vertex":[118,153],"single":[122,159],"forward":[123],"pass.":[124],"A":[125],"very":[126],"efficient":[127],"computational":[128],"graph":[129],"allows":[130],"network":[132],"with":[135],"only":[136],"fraction":[138],"memory":[141],"required":[142],"by":[143],"previous":[144],"methods":[145],"run":[147],"faster":[148],"during":[149],"generating":[151],"12k":[152],"meshes":[154],"at":[155,197],"$&gt;$60fps":[156],"on":[157],"CPU":[160],"thread.":[161],"further":[163],"leverage":[164],"as":[168,184],"primitive":[170],"higher":[172],"level":[173],"editing":[174],"operations":[175],"derivative":[181],"capabilities":[182],"such":[183],"swapping":[185],"sampling":[187],"object":[188],"parts.":[189],"Code":[190],"pretrained":[192],"models":[193],"can":[194],"be":[195],"found":[196],"https://github.com/michaeltrs/LAMM.":[198]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
