{"id":"https://openalex.org/W4413918024","doi":"https://doi.org/10.1109/icra55743.2025.11127924","title":"LLGS: Unsupervised Gaussian Splatting for Image Enhancement and Reconstruction in Pure Dark Environment","display_name":"LLGS: Unsupervised Gaussian Splatting for Image Enhancement and Reconstruction in Pure Dark Environment","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4413918024","doi":"https://doi.org/10.1109/icra55743.2025.11127924"},"language":"en","primary_location":{"id":"doi:10.1109/icra55743.2025.11127924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127924","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 Robotics and Automation (ICRA)","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":"https://openalex.org/A5100324810","display_name":"Haoran Wang","orcid":"https://orcid.org/0000-0001-6449-3770"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Haoran Wang","raw_affiliation_strings":["School of Engineering and Informatics, University of Sussex"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Informatics, University of Sussex","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101529572","display_name":"Jingwei Huang","orcid":"https://orcid.org/0000-0003-0356-6002"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Huang","raw_affiliation_strings":["University of Electronic Science and Technology of China,Department of Automation Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Department of Automation Engineering","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079130579","display_name":"Lu Yang","orcid":"https://orcid.org/0000-0003-3857-3982"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Yang","raw_affiliation_strings":["University of Electronic Science and Technology of China,Department of Automation Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,Department of Automation Engineering","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078717226","display_name":"Tianchen Deng","orcid":"https://orcid.org/0000-0002-4368-7936"},"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":"Tianchen Deng","raw_affiliation_strings":["Shanghai Jiao Tong University,Department of Automation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University,Department of Automation","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002779123","display_name":"Gaojing Zhang","orcid":"https://orcid.org/0000-0003-2038-3988"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gaojing Zhang","raw_affiliation_strings":["School of Engineering and Informatics, University of Sussex"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Informatics, University of Sussex","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100684498","display_name":"Mingrui Li","orcid":"https://orcid.org/0000-0001-8679-9420"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingrui Li","raw_affiliation_strings":["Dalian University of Technology,Department of Computer Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,Department of Computer Science","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13957","last_page":"13963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9939000010490417,"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"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9939000010490417,"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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9927999973297119,"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"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6779254078865051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5606353282928467},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49492496252059937},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45139971375465393},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4444373846054077},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.33435699343681335},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15854522585868835}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779254078865051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5606353282928467},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49492496252059937},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45139971375465393},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4444373846054077},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.33435699343681335},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15854522585868835},{"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/icra55743.2025.11127924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra55743.2025.11127924","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 Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2017745767","https://openalex.org/W2021501646","https://openalex.org/W2064076387","https://openalex.org/W2076205488","https://openalex.org/W2124377983","https://openalex.org/W2471962767","https://openalex.org/W2534171296","https://openalex.org/W2919234133","https://openalex.org/W3199334903","https://openalex.org/W3214908466","https://openalex.org/W4200150166","https://openalex.org/W4221151978","https://openalex.org/W4312249431","https://openalex.org/W4312480149","https://openalex.org/W4385318467","https://openalex.org/W4386065632","https://openalex.org/W4390871817","https://openalex.org/W4390872514","https://openalex.org/W4390872579","https://openalex.org/W4390874190","https://openalex.org/W4400581064","https://openalex.org/W4402698355","https://openalex.org/W4402716145","https://openalex.org/W4402727865","https://openalex.org/W4403770187","https://openalex.org/W4405785401","https://openalex.org/W4407129113"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"D":[0],"Gaussian":[1,23,65,94,98,119,166],"Splatting":[2,24,66,99],"has":[3],"shown":[4],"remarkable":[5],"capabilities":[6],"in":[7,30,67,70,107,160],"novel":[8],"view":[9],"rendering":[10],"tasks":[11],"and":[12,46,78,164],"exhibits":[13],"significant":[14],"potential":[15],"for":[16,28,128],"multi-view":[17,44,146],"optimization.":[18],"However,":[19],"the":[20,61,71,112],"original":[21],"3D":[22,64,165],"lacks":[25],"color":[26,126],"representation":[27,120],"inputs":[29,38],"lowlight":[31],"environments.":[32],"Simply":[33],"using":[34,141],"enhanced":[35],"images":[36,106],"as":[37],"would":[39],"lead":[40],"to":[41,104,144],"issues":[42],"with":[43,138],"consistency,":[45],"current":[47],"single-view":[48],"enhancement":[49,143,163],"systems":[50],"rely":[51],"on":[52,93,150],"pre-trained":[53],"data,":[54],"lacking":[55],"scene":[56],"generalization.":[57],"These":[58],"problems":[59],"limit":[60],"application":[62],"of":[63,73],"low-light":[68,108,162],"conditions":[69],"field":[72],"robotics,":[74],"including":[75],"high-fidelity":[76],"modeling":[77],"feature":[79],"matching.":[80],"To":[81],"address":[82],"these":[83],"challenges,":[84],"we":[85,132],"propose":[86,133],"an":[87,134],"unsupervised":[88,135],"multiview":[89],"stereoscopic":[90],"system":[91,102,156],"based":[92],"Splatting,":[95],"called":[96,121],"Low-Light":[97],"(LLGS).":[100],"This":[101],"aims":[103],"enhance":[105],"environments":[109],"while":[110],"reconstructing":[111],"scene.":[113],"Our":[114],"method":[115,137],"introduces":[116],"a":[117],"decomposable":[118],"M-Color,":[122],"which":[123],"separately":[124],"characterizes":[125],"information":[127],"targeted":[129],"enhancement.":[130],"Furthermore,":[131],"optimization":[136],"zeroknowledge":[139],"priors,":[140],"direction-based":[142],"ensure":[145],"consistency.":[147],"Experiments":[148],"conducted":[149],"real-world":[151],"datasets":[152],"demonstrate":[153],"that":[154],"our":[155],"outperforms":[157],"state-of-theart":[158],"methods":[159],"both":[161],"Splatting.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
