{"id":"https://openalex.org/W7160635382","doi":"https://doi.org/10.48550/arxiv.2605.06127","title":"Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration","display_name":"Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160635382","doi":"https://doi.org/10.48550/arxiv.2605.06127"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.06127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.06127","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135663819","display_name":"Haisen He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Haisen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021153181","display_name":"Xiangyu Zou","orcid":"https://orcid.org/0000-0001-5104-8301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Xiangyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135691850","display_name":"SongLin Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, SongLin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135663932","display_name":"Heng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Heng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135703787","display_name":"Yihong Gong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gong, Yihong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135710879","display_name":"Zhiheng Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Zhiheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.4196000099182129,"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":0.4196000099182129,"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":0.32030001282691956,"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":0.06239999830722809,"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/bottleneck","display_name":"Bottleneck","score":0.6708999872207642},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6565999984741211},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5985999703407288},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.5666999816894531},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5572999715805054},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.4797999858856201},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47209998965263367}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6708999872207642},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6565999984741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6358000040054321},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5985999703407288},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.5666999816894531},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5572999715805054},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.4797999858856201},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47209998965263367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42989999055862427},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.42149999737739563},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3822000026702881},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.3799999952316284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3718999922275543},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.36410000920295715},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34869998693466187},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.32420000433921814},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.3176000118255615},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3086000084877014},{"id":"https://openalex.org/C144745244","wikidata":"https://www.wikidata.org/wiki/Q4927286","display_name":"Blocking (statistics)","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2897000014781952}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.06127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.06127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.826448917388916}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Real-world":[0],"image":[1,86],"degradation":[2,28,41,57],"is":[3],"often":[4],"unknown,":[5],"spatially":[6,178],"non-uniform,":[7],"and":[8,99,105,133,157,170,180,188],"compositional,":[9],"requiring":[10],"all-in-one":[11,85],"restoration":[12,164],"models":[13],"to":[14,21,94],"adapt":[15],"a":[16,34,79,90,143],"single":[17],"set":[18],"of":[19],"weights":[20],"diverse":[22],"local":[23],"corruption":[24],"patterns":[25],"without":[26],"test-time":[27],"labels.":[29],"Existing":[30],"methods":[31],"typically":[32],"modulate":[33],"shared":[35],"backbone":[36],"with":[37,173],"global":[38,52],"prompts":[39],"or":[40,43,67],"descriptors,":[42],"route":[44],"features":[45,98],"through":[46],"predefined":[47],"expert":[48,61,131],"pools.":[49],"However,":[50],"compact":[51],"conditioning":[53],"can":[54],"bottleneck":[55],"localized":[56],"evidence,":[58],"while":[59,183],"static":[60,130],"routing":[62,103,150],"may":[63],"produce":[64],"homogeneous":[65],"updates":[66],"rely":[68],"on":[69,154,177],"unstable":[70],"sparse":[71],"assignments.":[72],"We":[73],"propose":[74],"\\textbf{Continuous":[75],"Expert":[76],"Assembly}":[77],"(CEA),":[78],"token-wise":[80,149],"dynamic":[81],"parameterization":[82],"framework":[83],"for":[84],"restoration.":[87],"CEA":[88,161],"employs":[89],"lightweight":[91],"\\textbf{Cross-Attention":[92],"Hyper-Adapter}":[93],"probe":[95],"intermediate":[96],"spatial":[97,109],"synthesize":[100],"instance-conditioned":[101],"low-rank":[102],"bases":[104],"residual":[106,115],"directions.":[107],"Each":[108],"token":[110],"then":[111],"assembles":[112],"its":[113,147],"own":[114],"update":[116],"via":[117],"dense":[118,148],"signed":[119],"dot-product":[120],"affinities":[121],"over":[122,166],"the":[123,174],"generated":[124],"rank-wise":[125],"components,":[126],"avoiding":[127],"external":[128],"prompts,":[129],"banks,":[132],"discrete":[134],"Top-":[135],"selection.":[136],"The":[137],"resulting":[138],"assembly":[139],"rule":[140],"also":[141],"admits":[142],"linear-attention":[144],"perspective,":[145],"making":[146],"behavior":[151],"transparent.":[152],"Experiments":[153],"AIO-3,":[155],"AIO-5,":[156],"CDD-11":[158],"show":[159],"that":[160],"improves":[162],"average":[163],"quality":[165],"strong":[167],"prompt-,":[168],"descriptor-,":[169],"expert-based":[171],"baselines,":[172],"clearest":[175],"gains":[176],"varying":[179],"compositional":[181],"degradations,":[182],"maintaining":[184],"favorable":[185],"parameter,":[186],"FLOP,":[187],"runtime":[189],"efficiency.":[190]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-09T00:00:00"}