{"id":"https://openalex.org/W4413157703","doi":"https://doi.org/10.1109/cvpr52734.2025.00703","title":"Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling","display_name":"Zero-Shot Blind-spot Image Denoising via Implicit Neural Sampling","publication_year":2025,"publication_date":"2025-06-10","ids":{"openalex":"https://openalex.org/W4413157703","doi":"https://doi.org/10.1109/cvpr52734.2025.00703"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr52734.2025.00703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.00703","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/A5038130835","display_name":"Yuhui Quan","orcid":"https://orcid.org/0000-0002-2564-7703"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Quan","raw_affiliation_strings":["South China University of Technology,School of Computer Science and Engineering,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Computer Science and Engineering,Guangzhou,China,510006","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103159205","display_name":"Tianxiang Zheng","orcid":"https://orcid.org/0000-0002-7133-7618"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianxiang Zheng","raw_affiliation_strings":["South China University of Technology,School of Computer Science and Engineering,Guangzhou,China,510006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Computer Science and Engineering,Guangzhou,China,510006","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112740440","display_name":"Zhiyuan Ma","orcid":"https://orcid.org/0000-0001-9799-2058"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Zhiyuan Ma","raw_affiliation_strings":["National University of Singapore,Department of Mathematics,Singapore,119076"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Mathematics,Singapore,119076","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030046423","display_name":"Hui Ji","orcid":"https://orcid.org/0000-0002-1674-6056"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Hui Ji","raw_affiliation_strings":["National University of Singapore,Department of Mathematics,Singapore,119076"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore,Department of Mathematics,Singapore,119076","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7502","last_page":"7512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9940000176429749,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9921000003814697,"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/shot","display_name":"Shot (pellet)","score":0.6344555020332336},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5556845664978027},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5477690696716309},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5351418256759644},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5022475719451904},{"id":"https://openalex.org/keywords/image-denoising","display_name":"Image denoising","score":0.4939449429512024},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4639173746109009},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4533982276916504},{"id":"https://openalex.org/keywords/shot-noise","display_name":"Shot noise","score":0.4522077739238739},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4116475582122803},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3591650426387787},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.07804417610168457},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07210811972618103}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.6344555020332336},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5556845664978027},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5477690696716309},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5351418256759644},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5022475719451904},{"id":"https://openalex.org/C2983327147","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Image denoising","level":3,"score":0.4939449429512024},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4639173746109009},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4533982276916504},{"id":"https://openalex.org/C72659945","wikidata":"https://www.wikidata.org/wiki/Q1503574","display_name":"Shot noise","level":3,"score":0.4522077739238739},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4116475582122803},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3591650426387787},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.07804417610168457},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07210811972618103},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr52734.2025.00703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr52734.2025.00703","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2048695508","https://openalex.org/W2056370875","https://openalex.org/W2469031810","https://openalex.org/W2508457857","https://openalex.org/W2764207251","https://openalex.org/W2798278116","https://openalex.org/W2799192307","https://openalex.org/W2902857081","https://openalex.org/W2953231542","https://openalex.org/W2963091558","https://openalex.org/W2963571608","https://openalex.org/W2964013315","https://openalex.org/W2983315964","https://openalex.org/W2997508111","https://openalex.org/W3035542568","https://openalex.org/W3087110941","https://openalex.org/W3097262261","https://openalex.org/W3138516171","https://openalex.org/W3170697543","https://openalex.org/W3174829522","https://openalex.org/W3178192988","https://openalex.org/W3204358387","https://openalex.org/W4200150166","https://openalex.org/W4224104371","https://openalex.org/W4225672218","https://openalex.org/W4287756134","https://openalex.org/W4306832909","https://openalex.org/W4307715697","https://openalex.org/W4312575110","https://openalex.org/W4312624488","https://openalex.org/W4312812783","https://openalex.org/W4312847199","https://openalex.org/W4312896951","https://openalex.org/W4312933730","https://openalex.org/W4312938066","https://openalex.org/W4382240324","https://openalex.org/W4385767719","https://openalex.org/W4385804839","https://openalex.org/W4386057768","https://openalex.org/W4386075601","https://openalex.org/W4390873798","https://openalex.org/W4390874275","https://openalex.org/W4402727831","https://openalex.org/W4402753499","https://openalex.org/W4409262094"],"related_works":["https://openalex.org/W2087258800","https://openalex.org/W2810018092","https://openalex.org/W4407169614","https://openalex.org/W2387428419","https://openalex.org/W4401571043","https://openalex.org/W2098237619","https://openalex.org/W1974034585","https://openalex.org/W4406054402","https://openalex.org/W4312627788","https://openalex.org/W2353444452"],"abstract_inverted_index":{"The":[0],"blind-spot":[1,66,92],"principle":[2],"has":[3],"been":[4],"a":[5,49,64],"widely":[6],"used":[7],"tool":[8],"in":[9],"zero-shot":[10,101],"image":[11],"denoising":[12],"but":[13],"faces":[14],"challenges":[15],"with":[16],"real-world":[17,105],"noise":[18,29,54,82],"that":[19],"exhibits":[20],"strong":[21],"local":[22],"correlations.":[23],"Existing":[24],"methods":[25],"focus":[26],"on":[27,104],"reducing":[28,81],"correlation,":[30],"which":[31],"also":[32],"weaken":[33],"the":[34,60,86],"pixel":[35,57,88],"correlations":[36,89],"needed":[37],"for":[38,90],"accurately":[39],"estimating":[40],"missing":[41],"pixels.":[42],"In":[43],"this":[44],"paper,":[45],"we":[46],"first":[47],"present":[48],"rigorous":[50],"analysis":[51],"of":[52,63],"how":[53],"correlation":[55,58,83],"and":[56],"impact":[59],"statistical":[61],"risk":[62],"linear":[65],"denoiser.":[67],"We":[68],"then":[69],"propose":[70],"using":[71],"an":[72],"implicit":[73],"neural":[74],"representation":[75],"to":[76],"resample":[77],"noisy":[78,106],"pixels,":[79],"effectively":[80],"while":[84],"preserving":[85],"essential":[87],"successful":[91],"denoising.":[93],"Extensive":[94],"experiments":[95],"show":[96],"our":[97],"method":[98],"surpasses":[99],"existing":[100],"de-noising":[102],"techniques":[103],"images.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
