{"id":"https://openalex.org/W7138224984","doi":"https://doi.org/10.1609/aaai.v40i5.37343","title":"DentalGS: Pose-Free 3D Gaussian Splatting from Five Intraoral Images for Novel View Synthesis","display_name":"DentalGS: Pose-Free 3D Gaussian Splatting from Five Intraoral Images for Novel View Synthesis","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138224984","doi":"https://doi.org/10.1609/aaai.v40i5.37343"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i5.37343","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i5.37343","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37343/41305","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37343/41305","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052391422","display_name":"Honghao Dai","orcid":"https://orcid.org/0009-0007-6829-653X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghao Dai","raw_affiliation_strings":["Shandong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129657619","display_name":"Yuanfeng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfeng Zhou","raw_affiliation_strings":["Shandong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007389144","display_name":"Guangshun Wei","orcid":"https://orcid.org/0000-0002-6045-4392"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangshun Wei","raw_affiliation_strings":["Shandong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129714319","display_name":"Zhihao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihao Li","raw_affiliation_strings":["Shandong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129749282","display_name":"Wenping Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenping Wang","raw_affiliation_strings":["Texas A&M University - College Station"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University - College Station","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"5","first_page":"3461","last_page":"3469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.17149999737739563,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.17149999737739563,"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"}},{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.1445000022649765,"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":0.10949999839067459,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.5181999802589417},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.48260000348091125},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4700999855995178},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4343999922275543},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3878999948501587},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.37860000133514404}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777400016784668},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7045999765396118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6309000253677368},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.5181999802589417},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.48260000348091125},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4700999855995178},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4343999922275543},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.41530001163482666},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3878999948501587},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.37860000133514404},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.3391999900341034},{"id":"https://openalex.org/C195958017","wikidata":"https://www.wikidata.org/wiki/Q1675268","display_name":"Iterative closest point","level":3,"score":0.3278000056743622},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.2630999982357025}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i5.37343","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i5.37343","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37343/41305","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/37343","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/37343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i5.37343","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i5.37343","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/37343/41305","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1650911592","display_name":null,"funder_award_id":"62172257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138224984.pdf","grobid_xml":"https://content.openalex.org/works/W7138224984.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Orthodontic":[0],"treatment":[1],"needs":[2],"regular":[3],"tooth":[4,103,200],"alignment":[5],"checks,":[6],"but":[7],"current":[8],"methods":[9],"depend":[10],"on":[11,106],"clinic":[12],"visits,":[13],"limiting":[14],"remote":[15,203],"care.":[16],"With":[17],"the":[18,107,149,168],"emergence":[19],"of":[20,72,152,170],"3D":[21,199],"Gaussian":[22,97],"Splatting":[23],"(3DGS),":[24],"realistic":[25],"novel":[26,74,182],"views":[27,76,183],"can":[28],"be":[29],"synthesized,":[30],"making":[31],"it":[32],"possible":[33],"for":[34,198],"clinicians":[35],"to":[36,136,141,166],"remotely":[37],"monitor":[38],"orthodontic":[39,204],"conditions.":[40,173],"However,":[41],"using":[42],"only":[43],"five":[44,78],"intraoral":[45,75,80,84,153],"images":[46,81],"with":[47,101],"unknown":[48],"camera":[49,91,114],"poses":[50,115],"and":[51,82,145,195],"dynamic":[52,171],"lighting":[53,172],"presents":[54],"major":[55],"challenges":[56],"in":[57,202],"dental":[58],"applications.":[59],"To":[60],"address":[61],"these":[62],"challenges,":[63],"we":[64,156],"propose":[65],"DentalGS,":[66],"an":[67,193],"enhanced":[68],"3DGS":[69,160],"framework":[70],"capable":[71],"synthesizing":[73],"from":[77],"post-orthodontic":[79],"pre-orthodontic":[83,109],"scan":[85],"(IOS)":[86],"data":[87,128],"as":[88,126],"prior,":[89],"without":[90],"poses.":[92],"Our":[93],"method":[94,130,179],"initializes":[95],"a":[96,121,127,138,158],"point":[98],"cloud":[99],"labeled":[100],"ISO-FDI":[102],"classes":[104],"based":[105],"patient\u2019s":[108],"IOS":[110],"data,":[111],"then":[112],"estimates":[113],"through":[116],"iterative":[117],"optimization.":[118],"We":[119],"introduce":[120,157],"Progressive":[122],"Pair":[123],"Generation":[124],"Strategy":[125],"augmentation":[129],"that":[131,177],"generates":[132],"damage\u2013repair":[133],"image":[134],"pairs":[135],"train":[137],"RepairNet,":[139],"aiming":[140],"restore":[142],"degraded":[143],"geometry":[144],"appearance":[146],"caused":[147],"by":[148,162],"limited":[150],"number":[151],"images.":[154],"Additionally,":[155],"Lighting-Aware":[159],"inspired":[161],"physical":[163],"reflectance":[164],"properties":[165],"mitigate":[167],"effects":[169],"Experimental":[174],"results":[175],"show":[176],"our":[178],"produces":[180],"high-quality":[181],"while":[184],"preserving":[185],"geometric":[186],"structure":[187],"even":[188],"under":[189],"extreme":[190],"viewpoints,":[191],"offering":[192],"efficient":[194],"reliable":[196],"solution":[197],"visualization":[201],"monitoring.":[205]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-18T00:00:00"}
