{"id":"https://openalex.org/W4407316807","doi":"https://doi.org/10.1109/tpami.2025.3540542","title":"Implicit Shape and Appearance Priors for Few-Shot Full Head Reconstruction","display_name":"Implicit Shape and Appearance Priors for Few-Shot Full Head Reconstruction","publication_year":2025,"publication_date":"2025-02-10","ids":{"openalex":"https://openalex.org/W4407316807","doi":"https://doi.org/10.1109/tpami.2025.3540542","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031684"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3540542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3540542","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5001064303","display_name":"Pol Caselles","orcid":"https://orcid.org/0009-0002-4943-0557"},"institutions":[{"id":"https://openalex.org/I4210093282","display_name":"Institut de Rob\u00f2tica i Inform\u00e0tica Industrial","ror":"https://ror.org/00mcdyn90","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210093282","https://openalex.org/I9617848"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Pol Caselles","raw_affiliation_strings":["Institut de Rob&#x00F2;tica i Inform&#x00E0;tica Industrial, CSIC-UPC, Barcelona, Spain"],"raw_orcid":"https://orcid.org/0009-0002-4943-0557","affiliations":[{"raw_affiliation_string":"Institut de Rob&#x00F2;tica i Inform&#x00E0;tica Industrial, CSIC-UPC, Barcelona, Spain","institution_ids":["https://openalex.org/I9617848","https://openalex.org/I4210093282"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009789112","display_name":"Eduard Ramon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eduard Ramon","raw_affiliation_strings":["Crisalix SA, Lausanne, Switzerland","Crisalix SA, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Crisalix SA, Lausanne, Switzerland","institution_ids":[]},{"raw_affiliation_string":"Crisalix SA, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006306326","display_name":"Jaime Lora-Garc\u00eda","orcid":"https://orcid.org/0000-0003-1699-5404"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaime Garc\u00eda","raw_affiliation_strings":["Crisalix SA, Lausanne, Switzerland","Crisalix SA, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Crisalix SA, Lausanne, Switzerland","institution_ids":[]},{"raw_affiliation_string":"Crisalix SA, Switzerland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014487615","display_name":"Gil Triginer","orcid":"https://orcid.org/0000-0002-7382-978X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gil Triginer","raw_affiliation_strings":["Crisalix SA, Lausanne, Switzerland","Crisalix SA, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Crisalix SA, Lausanne, Switzerland","institution_ids":[]},{"raw_affiliation_string":"Crisalix SA, Switzerland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106691454","display_name":"Francesc Moreno-Noguer","orcid":"https://orcid.org/0000-0002-8640-684X"},"institutions":[{"id":"https://openalex.org/I4210093282","display_name":"Institut de Rob\u00f2tica i Inform\u00e0tica Industrial","ror":"https://ror.org/00mcdyn90","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210093282","https://openalex.org/I9617848"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francesc Moreno-Noguer","raw_affiliation_strings":["Institut de Rob&#x00F2;tica i Inform&#x00E0;tica Industrial, CSIC-UPC, Barcelona, Spain"],"raw_orcid":"https://orcid.org/0000-0002-8640-684X","affiliations":[{"raw_affiliation_string":"Institut de Rob&#x00F2;tica i Inform&#x00E0;tica Industrial, CSIC-UPC, Barcelona, Spain","institution_ids":["https://openalex.org/I9617848","https://openalex.org/I4210093282"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5001064303"],"corresponding_institution_ids":["https://openalex.org/I4210093282","https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":1.2027,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75574802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"47","issue":"5","first_page":"3691","last_page":"3705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11984","display_name":"Anatomy and Medical Technology","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11984","display_name":"Anatomy and Medical Technology","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T13953","display_name":"Digital Imaging in Medicine","score":0.9419999718666077,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.920799970626831,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7182625532150269},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6426683664321899},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6414464712142944},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.6019327044487},{"id":"https://openalex.org/keywords/head","display_name":"Head (geology)","score":0.5736702680587769},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5232980847358704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5204567909240723},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5172144174575806},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37457263469696045},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.24194073677062988},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09477132558822632},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08271467685699463}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7182625532150269},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6426683664321899},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6414464712142944},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6019327044487},{"id":"https://openalex.org/C2780312720","wikidata":"https://www.wikidata.org/wiki/Q5689100","display_name":"Head (geology)","level":2,"score":0.5736702680587769},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5232980847358704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5204567909240723},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5172144174575806},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37457263469696045},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.24194073677062988},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09477132558822632},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08271467685699463},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3540542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3540542","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40031684","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031684","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W2017107803","https://openalex.org/W2033189232","https://openalex.org/W2107037917","https://openalex.org/W2178629455","https://openalex.org/W2519131448","https://openalex.org/W2555510177","https://openalex.org/W2584229793","https://openalex.org/W2599226450","https://openalex.org/W2604672468","https://openalex.org/W2606840594","https://openalex.org/W2769666294","https://openalex.org/W2795709097","https://openalex.org/W2893277817","https://openalex.org/W2912459656","https://openalex.org/W2945729334","https://openalex.org/W2962780596","https://openalex.org/W2962849139","https://openalex.org/W2962860871","https://openalex.org/W2963627347","https://openalex.org/W2963926543","https://openalex.org/W2981978060","https://openalex.org/W2989465255","https://openalex.org/W2989756014","https://openalex.org/W2995318735","https://openalex.org/W3034395814","https://openalex.org/W3034512702","https://openalex.org/W3034968345","https://openalex.org/W3035174858","https://openalex.org/W3035291735","https://openalex.org/W3108710777","https://openalex.org/W3109585842","https://openalex.org/W3148391304","https://openalex.org/W3152675032","https://openalex.org/W3153220274","https://openalex.org/W3163977797","https://openalex.org/W3175488633","https://openalex.org/W3176368002","https://openalex.org/W3177583232","https://openalex.org/W3180794345","https://openalex.org/W3182714435","https://openalex.org/W3213788316","https://openalex.org/W4200382072","https://openalex.org/W4214564845","https://openalex.org/W4214731463","https://openalex.org/W4214744315","https://openalex.org/W4224640185","https://openalex.org/W4297846303","https://openalex.org/W4312259872","https://openalex.org/W4312326867","https://openalex.org/W4312567281","https://openalex.org/W4312578889","https://openalex.org/W4312590328","https://openalex.org/W4312607553","https://openalex.org/W4312726738","https://openalex.org/W4312926441","https://openalex.org/W4313175219","https://openalex.org/W4319299960","https://openalex.org/W4372283852","https://openalex.org/W4386065427","https://openalex.org/W4386065603","https://openalex.org/W4386071543","https://openalex.org/W4386075804","https://openalex.org/W4386083061","https://openalex.org/W4390871701","https://openalex.org/W4399574158","https://openalex.org/W6631190155","https://openalex.org/W6745560452","https://openalex.org/W6763480078","https://openalex.org/W6774418182","https://openalex.org/W6779487896","https://openalex.org/W6780179280","https://openalex.org/W6784729325","https://openalex.org/W6796907879"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W4294892107","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,14,179,183],"learning":[3],"techniques":[4],"that":[5],"employ":[6],"coordinate-based":[7,71],"neural":[8],"representations":[9],"have":[10],"yielded":[11],"remarkable":[12,174],"results":[13,182],"multi-view":[15],"3D":[16,56,137,151],"reconstruction":[17,185],"tasks.":[18],"However,":[19],"these":[20,47],"approaches":[21],"often":[22],"require":[23],"a":[24,64,83,91,106,111],"substantial":[25],"number":[26],"of":[27,53,105,176,190],"input":[28,85],"views":[29],"(typically":[30],"several":[31],"tens)":[32],"and":[33,67,76,123,131,154,159],"computationally":[34],"intensive":[35],"optimization":[36],"procedures":[37],"to":[38,100,134],"achieve":[39,128],"their":[40,155],"effectiveness.":[41],"In":[42],"this":[43,61,98,169],"paper,":[44],"we":[45,96,127,141,162,171],"address":[46],"limitations":[48],"specifically":[49],"for":[50,164],"the":[51,102,116,143,173],"problem":[52],"few-shot":[54,135],"full":[55,136],"head":[57,138],"reconstruction.":[58,139],"We":[59],"accomplish":[60],"by":[62],"incorporating":[63,115],"probabilistic":[65],"shape":[66],"appearance":[68],"prior":[69,99,118],"into":[70],"representations,":[72],"enabling":[73],"faster":[74,192],"convergence":[75],"improved":[77],"generalization":[78],"when":[79],"working":[80],"with":[81],"only":[82],"few":[84],"images":[86,158],"(even":[87],"as":[88,90],"low":[89],"single":[92],"image).":[93],"During":[94],"testing,":[95],"leverage":[97],"guiding":[101],"fitting":[103],"process":[104],"signed":[107],"distance":[108],"function":[109],"using":[110],"differentiable":[112],"renderer.":[113],"By":[114,167],"statistical":[117],"alongside":[119],"parallelizable":[120],"ray":[121],"tracing":[122],"dynamic":[124],"caching":[125],"strategies,":[126],"an":[129,188],"efficient":[130],"accurate":[132],"approach":[133,178],"Moreover,":[140],"extend":[142],"H3DS":[144],"dataset,":[145,170],"which":[146,161],"now":[147],"comprises":[148],"60":[149],"high-resolution":[150],"full-head":[152],"scans":[153],"corresponding":[156],"posed":[157],"masks,":[160],"use":[163],"evaluation":[165],"purposes.":[166],"leveraging":[168],"demonstrate":[172],"capabilities":[175],"our":[177],"achieving":[180],"state-of-the-art":[181],"geometry":[184],"while":[186],"being":[187],"order":[189],"magnitude":[191],"than":[193],"previous":[194],"approaches.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
