{"id":"https://openalex.org/W4413144475","doi":"https://doi.org/10.1109/cvpr52734.2025.01501","title":"CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images","display_name":"CoCoGaussian: Leveraging Circle of Confusion for Gaussian Splatting from Defocused Images","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413144475","doi":"https://doi.org/10.1109/cvpr52734.2025.01501"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.01501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","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/A5114506696","display_name":"Jungho Lee","orcid":"https://orcid.org/0009-0003-9792-3003"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungho Lee","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055345711","display_name":"Suhwan Cho","orcid":"https://orcid.org/0000-0002-1547-807X"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suhwan Cho","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028212198","display_name":"Taeoh Kim","orcid":"https://orcid.org/0000-0001-7252-5525"},"institutions":[{"id":"https://openalex.org/I4405260609","display_name":"NAVER Cloud (South Korea)","ror":"https://ror.org/041051y78","country_code":"KR","type":"company","lineage":["https://openalex.org/I4405260609","https://openalex.org/I60922564"]},{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taeoh Kim","raw_affiliation_strings":["NAVER Cloud"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NAVER Cloud","institution_ids":["https://openalex.org/I4405260609","https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061520736","display_name":"Ho-Deok Jang","orcid":"https://orcid.org/0000-0001-6386-3813"},"institutions":[{"id":"https://openalex.org/I4405260609","display_name":"NAVER Cloud (South Korea)","ror":"https://ror.org/041051y78","country_code":"KR","type":"company","lineage":["https://openalex.org/I4405260609","https://openalex.org/I60922564"]},{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ho-Deok Jang","raw_affiliation_strings":["NAVER Cloud"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NAVER Cloud","institution_ids":["https://openalex.org/I4405260609","https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023707428","display_name":"Minhyeok Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minhyeok Lee","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051789113","display_name":"Geonho Cha","orcid":"https://orcid.org/0000-0002-3008-4642"},"institutions":[{"id":"https://openalex.org/I4405260609","display_name":"NAVER Cloud (South Korea)","ror":"https://ror.org/041051y78","country_code":"KR","type":"company","lineage":["https://openalex.org/I4405260609","https://openalex.org/I60922564"]},{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Geonho Cha","raw_affiliation_strings":["NAVER Cloud"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NAVER Cloud","institution_ids":["https://openalex.org/I4405260609","https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028451951","display_name":"Dongyoon Wee","orcid":"https://orcid.org/0000-0003-0359-146X"},"institutions":[{"id":"https://openalex.org/I4405260609","display_name":"NAVER Cloud (South Korea)","ror":"https://ror.org/041051y78","country_code":"KR","type":"company","lineage":["https://openalex.org/I4405260609","https://openalex.org/I60922564"]},{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongyoon Wee","raw_affiliation_strings":["NAVER Cloud"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NAVER Cloud","institution_ids":["https://openalex.org/I4405260609","https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078241289","display_name":"Dogyoon Lee","orcid":"https://orcid.org/0000-0002-0361-4417"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dogyoon Lee","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015739530","display_name":"Sangyoun Lee","orcid":"https://orcid.org/0000-0003-0394-6777"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangyoun Lee","raw_affiliation_strings":["Yonsei University,School of Electrical and Electronic Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Electrical and Electronic Engineering","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.6527,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.97339841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"16101","last_page":"16110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9995999932289124,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9995999932289124,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11897","display_name":"Digital Holography and Microscopy","score":0.9751999974250793,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7278048396110535},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.718474805355072},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5043107271194458},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48607924580574036},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.44529208540916443},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3402196764945984},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1115511953830719}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278048396110535},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.718474805355072},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5043107271194458},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48607924580574036},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.44529208540916443},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3402196764945984},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1115511953830719},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.01501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.01501","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"3D":[0,52,70,104],"Gaussian":[1,65],"Splatting":[2,66],"(3DGS)":[3],"has":[4],"attracted":[5],"significant":[6],"attention":[7],"for":[8,27,50],"its":[9],"high-quality":[10],"novel":[11],"view":[12],"rendering,":[13],"inspiring":[14],"research":[15],"to":[16,40,48,120,133],"address":[17],"real-world":[18,31,156],"challenges.":[19],"While":[20],"conventional":[21],"methods":[22],"depend":[23],"on":[24,97,152],"sharp":[25],"images":[26],"accurate":[28],"scene":[29,53,71],"reconstruction,":[30],"scenarios":[32],"are":[33],"often":[34],"affected":[35],"by":[36,84],"defocus":[37,82],"blur":[38,83],"due":[39],"finite":[41],"depth":[42,112,143],"of":[43,63,81,88,100],"field,":[44],"making":[45],"it":[46],"essential":[47],"account":[49],"realistic":[51],"representation.":[54],"In":[55],"this":[56],"study,":[57],"we":[58,106,127],"propose":[59],"CoCoGaussian,":[60],"a":[61,92,129],"Circle":[62,87],"Confusion-aware":[64],"that":[67,159],"enables":[68],"precise":[69],"representation":[72],"using":[73],"only":[74],"defocused":[75],"images.":[76],"CoCoGaussian":[77,160],"addresses":[78],"the":[79,86,98,108,123],"challenge":[80],"modeling":[85],"Confusion":[89],"(CoC)":[90],"through":[91],"physically":[93],"grounded":[94],"approach":[95],"based":[96],"principles":[99],"photographic":[101],"defocus.":[102],"Exploiting":[103],"Gaussians,":[105],"compute":[107],"CoC":[109,124],"diameter":[110],"from":[111],"and":[113,136,155],"learnable":[114,130],"aperture":[115],"information,":[116],"generating":[117],"multiple":[118,165],"Gaussians":[119],"precisely":[121],"capture":[122],"shape.":[125],"Furthermore,":[126],"introduce":[128],"scaling":[131],"factor":[132],"enhance":[134],"robustness":[135],"provide":[137],"more":[138],"flexibility":[139],"in":[140,144],"handling":[141],"unreliable":[142],"scenes":[145],"with":[146],"reflective":[147],"or":[148],"refractive":[149],"surfaces.":[150],"Experiments":[151],"both":[153],"synthetic":[154],"datasets":[157],"demonstrate":[158],"achieves":[161],"state-of-the-art":[162],"performance":[163],"across":[164],"benchmarks.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}