{"id":"https://openalex.org/W7162074554","doi":"https://doi.org/10.1109/tip.2026.3694143","title":"3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics-Based Appearance\u2013Medium Decoupling","display_name":"3D-UIR: 3D Gaussian for Underwater 3D Scene Reconstruction via Physics-Based Appearance\u2013Medium Decoupling","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7162074554","doi":"https://doi.org/10.1109/tip.2026.3694143","pmid":"https://pubmed.ncbi.nlm.nih.gov/42172153"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2026.3694143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3694143","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","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/A5136775092","display_name":"Jieyu Yuan","orcid":"https://orcid.org/0000-0002-9736-0920"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jieyu Yuan","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9736-0920","affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004956648","display_name":"Y R Li","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Li","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059598666","display_name":"Y.S. Zhang","orcid":"https://orcid.org/0009-0007-7314-3386"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanlin Zhang","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0007-7314-3386","affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120725893","display_name":"Chunle Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunle Guo","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-2432-2026","affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083192392","display_name":"Xiongxin Tang","orcid":"https://orcid.org/0009-0000-7037-3097"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiongxin Tang","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0000-7037-3097","affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602319","display_name":"Ruixing Wang","orcid":"https://orcid.org/0000-0001-7401-9917"},"institutions":[{"id":"https://openalex.org/I4210148944","display_name":"D\u00e0-Ji\u0101ng Innovations Science and Technology (China)","ror":"https://ror.org/04fmkfb67","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210148944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruixing Wang","raw_affiliation_strings":["DJI, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DJI, Shenzhen, China","institution_ids":["https://openalex.org/I4210148944"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076188364","display_name":"C Li","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chongyi Li","raw_affiliation_strings":["VCIP, College of Computer Science, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2218-3437","affiliations":[{"raw_affiliation_string":"VCIP, College of Computer Science, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.66811384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"5452","last_page":"5465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.2653999924659729,"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"}},"topics":[{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.2653999924659729,"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/T11019","display_name":"Image Enhancement Techniques","score":0.2134000062942505,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.11800000071525574,"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/underwater","display_name":"Underwater","score":0.517300009727478},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.4878000020980835},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.414900004863739},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.41019999980926514},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.39640000462532043},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.36550000309944153},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.349700003862381},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3109999895095825}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6680999994277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6258000135421753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5861999988555908},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.517300009727478},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.4878000020980835},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.39640000462532043},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.36550000309944153},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.349700003862381},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3109999895095825},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.30880001187324524},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3003000020980835},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.2856999933719635},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2775000035762787},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.26649999618530273},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.25270000100135803},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.25110000371932983},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2026.3694143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2026.3694143","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Image Processing","raw_type":"journal-article"},{"id":"pmid:42172153","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42172153","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3146519414","display_name":null,"funder_award_id":"2025M781478","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4966145580","display_name":null,"funder_award_id":"63243143","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7295860665","display_name":null,"funder_award_id":"62501312","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G853220123","display_name":null,"funder_award_id":"63253223","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8550639033","display_name":null,"funder_award_id":"63253219","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8630168206","display_name":null,"funder_award_id":"2025M781478","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Novel":[0],"view":[1,142],"synthesis":[2,143],"for":[3,90],"underwater":[4,49,133],"scene":[5,95,147],"reconstruction":[6],"presents":[7],"unique":[8],"challenges":[9],"due":[10],"to":[11,118],"complex":[12],"light-media":[13],"interactions.":[14],"Optical":[15],"scattering":[16,53],"and":[17,57,92,114,127,144,157],"absorption":[18],"in":[19,154],"water":[20,73],"body":[21],"bring":[22],"inhomogeneous":[23,50],"medium":[24,74,88,128],"attenuation":[25],"interference":[26],"that":[27,68,105],"disrupts":[28],"conventional":[29],"volume":[30],"rendering":[31,44,155],"assumptions":[32],"of":[33],"uniform":[34],"propagation":[35],"medium.":[36],"While":[37],"3D":[38],"Gaussian":[39,78],"Splatting":[40],"(3DGS)":[41],"offers":[42],"real-time":[43],"capabilities,":[45],"it":[46],"struggles":[47],"with":[48,111],"environments":[51],"where":[52],"media":[54],"introduces":[55,82],"artifacts":[56],"inconsistent":[58],"appearance.":[59],"In":[60,97],"this":[61],"study,":[62],"we":[63,99],"propose":[64,100],"a":[65,101],"physics-based":[66],"framework":[67],"disentangles":[69],"object":[70],"appearance":[71,83,126],"from":[72],"effects":[75],"through":[76],"tailored":[77],"modeling.":[79],"Our":[80],"approach":[81,137],"embeddings,":[84],"which":[85],"are":[86],"explicit":[87],"representations":[89],"backscatter":[91],"attenuation,":[93],"enhancing":[94],"consistency.":[96],"addition,":[98],"depth-guided":[102],"optimization":[103],"strategy":[104],"leverages":[106],"pseudo-depth":[107],"maps":[108],"as":[109],"supervision":[110],"depth":[112],"regularization":[113],"scale":[115],"penalty":[116],"terms":[117],"improve":[119],"geometric":[120],"fidelity.":[121],"By":[122],"integrating":[123],"the":[124],"proposed":[125],"modeling":[129],"components":[130],"via":[131],"an":[132],"imaging":[134],"model,":[135],"our":[136,151],"achieves":[138],"both":[139],"high-quality":[140],"novel":[141],"physically":[145],"accurate":[146],"restoration.":[148],"Experiments":[149],"demonstrate":[150],"significant":[152],"improvements":[153],"quality":[156],"restoration":[158],"accuracy":[159],"over":[160],"existing":[161],"methods.":[162],"The":[163],"project":[164],"page":[165],"is":[166],"available":[167],"at":[168],"https://bilityniu.github.io/3D-UIR.":[169]},"counts_by_year":[],"updated_date":"2026-05-30T06:14:24.967023","created_date":"2026-05-23T00:00:00"}
