{"id":"https://openalex.org/W4417148787","doi":"https://doi.org/10.1109/wacv61042.2026.00156","title":"UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations","display_name":"UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W4417148787","doi":"https://doi.org/10.1109/wacv61042.2026.00156"},"language":"en","primary_location":{"id":"doi:10.1109/wacv61042.2026.00156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.15868","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070970004","display_name":"Debabrata Mandal","orcid":"https://orcid.org/0000-0003-1980-6306"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debabrata Mandal","raw_affiliation_strings":["University of North Carolina at Chapel Hill,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013857985","display_name":"Soumitri Chattopadhyay","orcid":"https://orcid.org/0000-0002-2647-6053"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soumitri Chattopadhyay","raw_affiliation_strings":["University of North Carolina at Chapel Hill,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027184701","display_name":"Guansen Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guansen Tong","raw_affiliation_strings":["University of North Carolina at Chapel Hill,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108313991","display_name":"Praneeth Chakravarthula","orcid":null},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Praneeth Chakravarthula","raw_affiliation_strings":["University of North Carolina at Chapel Hill,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill,USA","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03012978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1543","last_page":"1553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.7480999827384949,"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"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.7480999827384949,"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/T11019","display_name":"Image Enhancement Techniques","score":0.13369999825954437,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.045099999755620956,"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/image-restoration","display_name":"Image restoration","score":0.7968999743461609},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6121000051498413},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5849000215530396},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.54339998960495},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5091000199317932},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3864000141620636},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.351500004529953}],"concepts":[{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.7968999743461609},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7038000226020813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.695900022983551},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6121000051498413},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5849000215530396},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5778999924659729},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.54339998960495},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5091000199317932},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.351500004529953},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3257000148296356},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.2524999976158142}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wacv61042.2026.00156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv61042.2026.00156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2503.15868","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.15868","pdf_url":"https://arxiv.org/pdf/2503.15868","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2503.15868","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.15868","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.15868","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.15868","pdf_url":"https://arxiv.org/pdf/2503.15868","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Image":[0],"restoration":[1,50],"is":[2,159],"essential":[3],"for":[4,82],"enhancing":[5],"degraded":[6],"images":[7,75,125,152],"across":[8],"computer":[9],"vision":[10],"tasks.":[11],"However,":[12],"most":[13],"existing":[14],"methods":[15],"address":[16],"only":[17],"a":[18,29,47,60,78,88,94,109,120],"single":[19],"type":[20],"of":[21,53,69,105],"degradation":[22,56],"(e.g.,":[23],"blur,":[24],"noise,":[25],"or":[26],"haze)":[27],"at":[28],"time,":[30],"limiting":[31],"their":[32],"real-world":[33,83],"applicability":[34],"where":[35],"multiple":[36,55,127],"degradations":[37,128],"often":[38],"occur":[39],"simultaneously.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,65,116],"propose":[45],"UniCoRN,":[46],"unified":[48],"image":[49,84],"approach":[51],"capable":[52],"handling":[54],"types":[57],"simultaneously":[58],"using":[59],"multi-head":[61,89],"diffusion":[62,80],"model.":[63],"Specifically,":[64],"uncover":[66],"the":[67],"potential":[68],"low-level":[70],"visual":[71],"cues":[72],"extracted":[73],"from":[74],"in":[76,161],"guiding":[77],"controllable":[79],"model":[81,100],"restoration,":[85],"and":[86,129,148,157],"design":[87],"control":[90],"network":[91],"adaptable":[92],"via":[93],"mixture-of-experts":[95],"strategy.":[96],"We":[97],"train":[98],"our":[99,138,142,162],"without":[101],"any":[102],"prior":[103],"assumption":[104],"specific":[106],"degradations,":[107],"through":[108],"smartly":[110],"designed":[111],"curriculum":[112],"learning":[113],"recipe.":[114],"Additionally,":[115],"also":[117],"introduce":[118],"METARESTORE,":[119],"metalens":[121],"imaging":[122],"benchmark":[123],"containing":[124],"with":[126,153],"artifacts.":[130],"Extensive":[131],"evaluations":[132],"on":[133],"several":[134],"challenging":[135],"datasets,":[136],"including":[137],"benchmark,":[139],"demonstrate":[140],"that":[141],"method":[143],"achieves":[144],"significant":[145],"performance":[146],"gains":[147],"can":[149],"robustly":[150],"restore":[151],"severe":[154],"degradations.":[155],"Code":[156],"dataset":[158],"available":[160],"project":[163],"page.":[164]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}