{"id":"https://openalex.org/W4415428071","doi":"https://doi.org/10.3233/faia251221","title":"JOIG: Joint Optimization Model of Image Features and Constraint Geometry Fusion for Generalizable Gaussian","display_name":"JOIG: Joint Optimization Model of Image Features and Constraint Geometry Fusion for Generalizable Gaussian","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415428071","doi":"https://doi.org/10.3233/faia251221"},"language":null,"primary_location":{"id":"doi:10.3233/faia251221","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251221","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251221","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101116018","display_name":"Yang Shuo","orcid":null},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]},{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Shuo","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology","School of Advanced Interdisciplinary Studies, Ningxia University"],"raw_orcid":"https://orcid.org/0009-0006-0696-3782","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"School of Advanced Interdisciplinary Studies, Ningxia University","institution_ids":["https://openalex.org/I21642278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007505433","display_name":"Jianbo Zhang","orcid":"https://orcid.org/0000-0002-9066-709X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang Jianbo","raw_affiliation_strings":["The USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiaotong University"],"raw_orcid":"https://orcid.org/0000-0002-9066-709X","affiliations":[{"raw_affiliation_string":"The USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiaotong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087563094","display_name":"Yongming Han","orcid":"https://orcid.org/0000-0003-3209-725X"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Yongming","raw_affiliation_strings":["College of Information Science and Technology, Beijing University of Chemical Technology"],"raw_orcid":"https://orcid.org/0000-0003-3209-725X","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100390896","display_name":"Liang Yuan","orcid":"https://orcid.org/0000-0002-7068-8766"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Liang","raw_affiliation_strings":["The USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiaotong University"],"raw_orcid":"https://orcid.org/0000-0002-7068-8766","affiliations":[{"raw_affiliation_string":"The USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiaotong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.62152778,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9850000143051147,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9656999707221985,"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/generalization","display_name":"Generalization","score":0.6585999727249146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6287000179290771},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.6097999811172485},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6061000227928162},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5924000144004822},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5286999940872192},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5045999884605408},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5030999779701233}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6585999727249146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6377000212669373},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6287000179290771},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.6097999811172485},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6061000227928162},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5924000144004822},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5828999876976013},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5286999940872192},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5045999884605408},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5030999779701233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4894999861717224},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.48739999532699585},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4767000079154968},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44690001010894775},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.39649999141693115},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3587000072002411},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35199999809265137},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29899999499320984},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.267300009727478},{"id":"https://openalex.org/C14961307","wikidata":"https://www.wikidata.org/wiki/Q5377176","display_name":"Energy minimization","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C32990609","wikidata":"https://www.wikidata.org/wiki/Q306542","display_name":"Transformation geometry","level":2,"score":0.26080000400543213}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia251221","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251221","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia251221","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251221","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"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":{"Novel":[0],"View":[1],"Synthesis":[2],"(NVS)":[3],"seeks":[4],"to":[5,86,101,113],"generate":[6],"realistic":[7],"novel":[8,150],"views":[9],"from":[10],"limited":[11],"source":[12],"images,":[13],"offering":[14],"an":[15],"effective":[16,42],"solution":[17],"for":[18,71,93],"3D":[19,73],"reconstruction":[20],"in":[21,149],"complex":[22],"or":[23],"unknown":[24],"environments.":[25],"Achieving":[26],"high":[27],"generalization":[28,139],"under":[29],"occlusion,":[30],"varying":[31],"illumination,":[32],"and":[33,45,50,67,108,119,129,131,146],"sparse":[34],"observations":[35],"remains":[36],"challenging,":[37],"largely":[38],"hinging":[39],"on":[40,124],"the":[41],"extraction,":[43],"optimization,":[44],"fusion":[46,116],"of":[47,64,117],"image":[48,95,120],"features":[49],"spatial":[51,118],"geometry.":[52],"In":[53],"this":[54],"work,":[55],"we":[56],"propose":[57],"JOIG":[58,76,136],"\u2014":[59],"a":[60],"Joint":[61],"Optimization":[62],"Model":[63],"Image":[65],"Features":[66],"Constraint":[68],"Geometry":[69,97],"Fusion":[70,84],"generalizable":[72],"Gaussian":[74],"splatting.":[75],"introduces":[77],"three":[78],"key":[79],"components:":[80],"Multiscale":[81],"Dimension":[82],"Rotation":[83],"(MDRF)":[85],"capture":[87],"intrinsic":[88],"dependencies":[89],"across":[90],"feature":[91],"dimensions":[92],"enhanced":[94],"encoding,":[96],"Self-Correcting":[98],"Aggregation":[99,111],"(GSCA)":[100],"refine":[102],"multi-view":[103],"geometry":[104],"with":[105],"depth-guided":[106],"reweighting,":[107],"Geometry-Image":[109],"Feature":[110],"(GIFA)":[112],"achieve":[114],"pixel-aligned":[115],"information.":[121],"Extensive":[122],"experiments":[123],"DTU,":[125],"LLFF,":[126],"NeRF":[127],"Synthetic,":[128],"Tanks":[130],"Temples":[132],"datasets":[133],"demonstrate":[134],"that":[135],"achieves":[137],"state-of-the-art":[138],"performance,":[140],"significantly":[141],"improving":[142],"both":[143],"quantitative":[144],"metrics":[145],"visual":[147],"fidelity":[148],"view":[151],"synthesis.":[152]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-24T00:00:00"}
