{"id":"https://openalex.org/W7163061091","doi":"https://doi.org/10.48550/arxiv.2605.31283","title":"Topologically Consistent Multi-view 3D Head Reconstruction via Coarse-Guided Layered Surface Sampling","display_name":"Topologically Consistent Multi-view 3D Head Reconstruction via Coarse-Guided Layered Surface Sampling","publication_year":2026,"publication_date":"2026-05-29","ids":{"openalex":"https://openalex.org/W7163061091","doi":"https://doi.org/10.48550/arxiv.2605.31283"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.31283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.31283","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":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.2605.31283","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137531331","display_name":"Timo Bolkart","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bolkart, Timo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005338367","display_name":"Daoye Wang","orcid":"https://orcid.org/0000-0002-2879-6114"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Daoye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5036716763","display_name":"Prashanth Chandran","orcid":"https://orcid.org/0000-0001-6821-5815"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chandran, Prashanth","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":0.8223000168800354,"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":0.8223000168800354,"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":0.033799998462200165,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.02850000001490116,"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/sampling","display_name":"Sampling (signal processing)","score":0.6432999968528748},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6208999752998352},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.5809000134468079},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5734999775886536},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5623999834060669},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5568000078201294},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4821999967098236},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4560999870300293},{"id":"https://openalex.org/keywords/surface-reconstruction","display_name":"Surface reconstruction","score":0.41510000824928284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6509000062942505},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6432999968528748},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6208999752998352},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.5809000134468079},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5734999775886536},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5623999834060669},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5568000078201294},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5170000195503235},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4828999936580658},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4821999967098236},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4560999870300293},{"id":"https://openalex.org/C20885615","wikidata":"https://www.wikidata.org/wiki/Q825595","display_name":"Surface reconstruction","level":3,"score":0.41510000824928284},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.40869998931884766},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.38269999623298645},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.3723999857902527},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.361299991607666},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.3424000144004822},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C109950114","wikidata":"https://www.wikidata.org/wiki/Q4464732","display_name":"3D reconstruction","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2883000075817108},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.2874999940395355},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2578999996185303}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.31283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.31283","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.31283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.31283","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":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":{"We":[0,71],"present":[1],"SHELLS":[2,59,117],"(Semantic":[3],"Head":[4],"Estimation":[5],"via":[6,31,66],"Layered":[7],"Local":[8],"Sampling),":[9],"an":[10,91],"efficient":[11],"feed-forward":[12],"framework":[13],"for":[14,47,113,151,172],"3D":[15],"head":[16],"reconstruction":[17],"in":[18,179],"dense":[19,48],"semantic":[20],"correspondence":[21],"from":[22,63],"multi-view":[23,73,176],"images.":[24],"Existing":[25],"methods":[26],"typically":[27],"refine":[28],"vertices":[29],"independently":[30],"localized":[32],"feature":[33,39,61,87],"volumes.":[34],"This":[35,95],"approach":[36],"couples":[37],"memory-intensive":[38],"sampling":[40,69,104],"to":[41,141,166],"mesh":[42,64],"resolution,":[43],"which":[44],"limits":[45],"scalability":[46],"topologies":[49],"(&gt;":[50],"10k":[51],"vertices)":[52],"and":[53,89],"introduces":[54],"surface":[55,119],"noise.":[56],"In":[57],"contrast,":[58],"decouples":[60],"extraction":[62],"resolution":[65],"a":[67,76,84,109,144],"hierarchical":[68],"strategy.":[70],"extract":[72],"features":[74],"using":[75,122],"DINOv2":[77],"backbone":[78],"with":[79,143],"LoRA":[80],"adaptation,":[81],"projectively":[82],"sample":[83],"sparse":[85],"global":[86],"cloud,":[88],"predict":[90],"intermediate":[92],"coarse":[93,96],"mesh.":[94],"prior":[97,180],"guides":[98],"the":[99,114,170,173],"construction":[100],"of":[101],"layered,":[102],"surface-aware":[103],"shells":[105],"that":[106],"serve":[107],"as":[108],"discrete":[110],"search":[111],"space":[112],"final":[115],"reconstruction.":[116],"maintains":[118],"consistency":[120],"while":[121],"88%":[123],"less":[124],"inference":[125,146],"GPU":[126],"memory":[127],"(2.4GB":[128],"vs.":[129,149],"20GB)":[130],"than":[131],"volumetric":[132],"baselines.":[133],"It":[134],"reduces":[135],"median":[136],"registration":[137],"error":[138],"by":[139],"21%":[140],"29%":[142],"3.5x":[145],"speedup":[147],"(0.08s":[148],"0.29s)":[150],"18k-vertex":[152],"meshes.":[153],"Notably,":[154],"our":[155],"model":[156],"is":[157],"trained":[158],"exclusively":[159],"on":[160],"synthetic":[161],"data":[162],"yet":[163],"generalizes":[164],"effectively":[165],"real-world":[167],"captures,":[168],"eliminating":[169],"need":[171],"costly,":[174],"pre-registered":[175],"datasets":[177],"common":[178],"work.":[181]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-02T00:00:00"}
