{"id":"https://openalex.org/W7131456532","doi":"https://doi.org/10.48550/arxiv.2602.21100","title":"Skullptor: High Fidelity 3D Head Reconstruction in Seconds with Multi-View Normal Prediction","display_name":"Skullptor: High Fidelity 3D Head Reconstruction in Seconds with Multi-View Normal Prediction","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131456532","doi":"https://doi.org/10.48550/arxiv.2602.21100"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.21100","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126839489","display_name":"No\u00e9 Artru","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Artru, No\u00e9","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002878140","display_name":"Rukhshanda Hussain","orcid":"https://orcid.org/0000-0002-5304-4897"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hussain, Rukhshanda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093557899","display_name":"Emeline Got","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Got, Emeline","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111181143","display_name":"Alexandre Messier","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Messier, Alexandre","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004550709","display_name":"David B. Lindell","orcid":"https://orcid.org/0000-0002-6999-3958"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lindell, David B.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064254703","display_name":"Abdallah Dib","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dib, Abdallah","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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21995012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.33340001106262207,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.33340001106262207,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.26649999618530273,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.13609999418258667,"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/photogrammetry","display_name":"Photogrammetry","score":0.7093999981880188},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.6528000235557556},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.5275999903678894},{"id":"https://openalex.org/keywords/3d-reconstruction","display_name":"3D reconstruction","score":0.5138000249862671},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4966000020503998},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4641000032424927},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.46299999952316284},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.3944999873638153},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.3799999952316284}],"concepts":[{"id":"https://openalex.org/C117455697","wikidata":"https://www.wikidata.org/wiki/Q190149","display_name":"Photogrammetry","level":2,"score":0.7093999981880188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995000243186951},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.680400013923645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6744999885559082},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.6528000235557556},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.5275999903678894},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.5138000249862671},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4966000020503998},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4641000032424927},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.46299999952316284},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.3944999873638153},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.3799999952316284},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.36970001459121704},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.31690001487731934},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C104065381","wikidata":"https://www.wikidata.org/wiki/Q1002535","display_name":"Geometric modeling","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2955000102519989},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C158843486","wikidata":"https://www.wikidata.org/wiki/Q2137810","display_name":"Complex geometry","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.21100","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.21100","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.21100","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":"pmh:doi:10.48550/arxiv.2602.21100","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reconstructing":[0],"high-fidelity":[1,144],"3D":[2],"head":[3],"geometry":[4],"from":[5],"images":[6],"is":[7],"critical":[8],"for":[9],"a":[10,47,79,92,112],"wide":[11],"range":[12],"of":[13,86],"applications,":[14],"yet":[15],"existing":[16],"methods":[17,63],"face":[18],"fundamental":[19,48],"limitations.":[20],"Traditional":[21],"photogrammetry":[22,150],"achieves":[23],"exceptional":[24],"detail":[25],"but":[26,56,67],"requires":[27],"extensive":[28],"camera":[29,153],"arrays":[30],"(25-200+":[31],"views),":[32],"substantial":[33],"computation,":[34],"and":[35,71,140,155],"manual":[36],"cleanup":[37],"in":[38,111],"challenging":[39],"areas":[40],"like":[41],"facial":[42],"hair.":[43],"Recent":[44],"alternatives":[45],"present":[46],"trade-off:":[49],"foundation":[50,101],"models":[51,102],"enable":[52],"efficient":[53],"single-image":[54,139],"reconstruction":[55,145],"lack":[57],"fine":[58],"geometric":[59,122],"detail,":[60],"while":[61,151],"optimization-based":[62],"achieve":[64],"higher":[65],"fidelity":[66],"require":[68],"dense":[69],"views":[70],"expensive":[72],"computation.":[73],"We":[74,115],"bridge":[75],"this":[76],"gap":[77],"with":[78,103,148],"hybrid":[80],"approach":[81,136],"that":[82,98],"combines":[83],"the":[84],"strengths":[85],"both":[87],"paradigms.":[88],"Our":[89,135],"method":[90],"introduces":[91],"multi-view":[93,141],"surface":[94,133],"normal":[95],"prediction":[96],"model":[97],"extends":[99],"monocular":[100],"cross-view":[104],"attention":[105],"to":[106,130],"produce":[107],"geometrically":[108],"consistent":[109],"normals":[110],"feed-forward":[113],"pass.":[114],"then":[116],"leverage":[117],"these":[118],"predictions":[119],"as":[120],"strong":[121],"priors":[123],"within":[124],"an":[125],"inverse":[126],"rendering":[127],"optimization":[128],"framework":[129],"recover":[131],"high-frequency":[132],"details.":[134],"outperforms":[137],"state-of-the-art":[138],"methods,":[142],"achieving":[143],"on":[146],"par":[147],"dense-view":[149],"reducing":[152],"requirements":[154],"computational":[156],"cost.":[157]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-02-26T00:00:00"}
