{"id":"https://openalex.org/W4413277961","doi":"https://doi.org/10.1109/icip55913.2025.11084339","title":"Veta-Gs: View-Dependent Deformable 3d Gaussian Splatting for Thermal Infrared Novel-View Synthesis","display_name":"Veta-Gs: View-Dependent Deformable 3d Gaussian Splatting for Thermal Infrared Novel-View Synthesis","publication_year":2025,"publication_date":"2025-08-18","ids":{"openalex":"https://openalex.org/W4413277961","doi":"https://doi.org/10.1109/icip55913.2025.11084339"},"language":"en","primary_location":{"id":"doi:10.1109/icip55913.2025.11084339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Myeongseok Nam","orcid":null},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myeongseok Nam","raw_affiliation_strings":["Ajou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047577324","display_name":"Wongi Park","orcid":"https://orcid.org/0000-0002-0497-1360"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wongi Park","raw_affiliation_strings":["Ajou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088180581","display_name":"Minsol Kim","orcid":"https://orcid.org/0009-0001-5049-8623"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minsol Kim","raw_affiliation_strings":["Sejong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sejong University","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hyejin Hur","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyejin Hur","raw_affiliation_strings":["Korea University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085947812","display_name":"Soomok Lee","orcid":"https://orcid.org/0000-0001-6633-997X"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soomok Lee","raw_affiliation_strings":["Ajou University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajou University","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.4449,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.98391089,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"965","last_page":"970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13493","display_name":"Optical and Acousto-Optic Technologies","score":0.9327999949455261,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13493","display_name":"Optical and Acousto-Optic Technologies","score":0.9327999949455261,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11637","display_name":"Advanced Semiconductor Detectors and Materials","score":0.9057999849319458,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/computer-science","display_name":"Computer science","score":0.6586111783981323},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.6024750471115112},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4983346462249756},{"id":"https://openalex.org/keywords/thermal-infrared","display_name":"Thermal infrared","score":0.48213550448417664},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4226377606391907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38162052631378174},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.3722865581512451},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19167321920394897},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.14917320013046265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6586111783981323},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.6024750471115112},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4983346462249756},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.48213550448417664},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4226377606391907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38162052631378174},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.3722865581512451},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19167321920394897},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.14917320013046265},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip55913.2025.11084339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip55913.2025.11084339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2133665775","https://openalex.org/W2140950877","https://openalex.org/W2471962767","https://openalex.org/W2962785568","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4385318467","https://openalex.org/W4401943820","https://openalex.org/W4402703017","https://openalex.org/W4402713101","https://openalex.org/W4402727240","https://openalex.org/W4402727269","https://openalex.org/W4402754225","https://openalex.org/W4404004674","https://openalex.org/W4405785423","https://openalex.org/W4408955770"],"related_works":["https://openalex.org/W3184332868","https://openalex.org/W4411303153","https://openalex.org/W2360806688","https://openalex.org/W273971055","https://openalex.org/W1858933348","https://openalex.org/W2351006740","https://openalex.org/W3157789538","https://openalex.org/W2372640428","https://openalex.org/W4390606651","https://openalex.org/W4405009444"],"abstract_inverted_index":{"Recently,":[0],"3D":[1],"Gaussian":[2],"Splatting":[3],"(3D-GS)":[4],"based":[5],"on":[6,111],"Thermal":[7,59,93],"Infrared":[8],"(TIR)":[9],"imaging":[10],"has":[11],"gained":[12],"attention":[13],"in":[14,41],"novel-view":[15,21],"synthesis,":[16],"showing":[17],"real-time":[18],"rendering.":[19],"However,":[20],"synthesis":[22],"with":[23],"thermal":[24,67,87],"infrared":[25],"images":[26],"suffers":[27],"from":[28],"transmission":[29],"effects,":[30],"emissivity,":[31],"and":[32,38,57,69,82,97,104],"low":[33],"resolution,":[34],"leading":[35],"to":[36,63,106],"floaters":[37],"blur":[39],"effects":[40],"rendered":[42],"images.":[43],"To":[44],"address":[45],"these":[46],"problems,":[47],"we":[48,73,90],"introduce":[49,91],"Veta-Gs,":[50],"which":[51,85,100],"leverages":[52,79],"a":[53,58],"view-dependent":[54,75],"deformation":[55,76],"field":[56,77],"Feature":[60,94],"Extractor":[61,95],"(TFE)":[62,96],"precisely":[64],"capture":[65,86],"subtle":[66],"variations":[68],"maintain":[70,107],"robustness.":[71,108],"Specifically,":[72],"design":[74],"that":[78,116],"camera":[80],"position":[81],"viewing":[83],"direction,":[84],"variations.":[88],"Furthermore,":[89],"the":[92,112],"MonoS-SIM":[98],"loss,":[99],"consider":[101],"appearance,":[102],"edge,":[103],"frequency":[105],"Extensive":[109],"experiments":[110],"TI-NSD":[113],"benchmark":[114],"show":[115],"our":[117],"method":[118],"achieves":[119],"better":[120],"performance":[121],"over":[122],"existing":[123],"methods.":[124]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-12T07:12:00.856984","created_date":"2025-10-10T00:00:00"}
