{"id":"https://openalex.org/W7162337166","doi":"https://doi.org/10.48550/arxiv.2605.23531","title":"PixIE: Prompted Pixel-Space Low-Light Image Enhancement","display_name":"PixIE: Prompted Pixel-Space Low-Light Image Enhancement","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162337166","doi":"https://doi.org/10.48550/arxiv.2605.23531"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23531","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23531","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":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.2605.23531","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136901436","display_name":"Ruirui Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Ruirui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136985498","display_name":"Guoxi Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Guoxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136911382","display_name":"David Bull","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bull, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136973124","display_name":"Nantheera Anantrasirichai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anantrasirichai, Nantheera","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/T11019","display_name":"Image Enhancement Techniques","score":0.8892999887466431,"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/T11019","display_name":"Image Enhancement Techniques","score":0.8892999887466431,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.0494999997317791,"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":0.01600000075995922,"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/pixel","display_name":"Pixel","score":0.5800999999046326},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5770000219345093},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5325999855995178},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5223000049591064},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.46959999203681946},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4431000053882599},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.41029998660087585}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6983000040054321},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.623199999332428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5931000113487244},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5800999999046326},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5770000219345093},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5325999855995178},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5223000049591064},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.46959999203681946},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4431000053882599},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.32899999618530273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26919999718666077},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.263700008392334},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23531","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23531","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":"doi:10.48550/arxiv.2605.23531","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23531","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7543684244155884,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Low-light":[0],"images":[1],"suffer":[2],"from":[3],"severe":[4],"noise,":[5],"contrast":[6],"loss,":[7],"and":[8,18,86,125,141,148],"semantic":[9,102],"ambiguity,":[10],"making":[11],"enhancement":[12],"a":[13,24,32,61],"joint":[14],"problem":[15],"of":[16],"denoising":[17,40],"detail":[19],"recovery.":[20],"We":[21,89],"propose":[22,91],"PixIE,":[23],"feed-forward":[25],"pixel-space":[26,69],"LLIE":[27,115],"framework":[28],"semantically":[29],"prompted":[30],"by":[31],"foundation":[33],"model":[34],"(FM).":[35],"PixIE":[36],"first":[37],"performs":[38],"cross-scale":[39],"to":[41,96,106],"suppress":[42],"noise":[43,108],"while":[44],"preserving":[45],"structure,":[46],"then":[47],"refines":[48],"details":[49,137],"using":[50],"Prompted":[51],"Pixel":[52,93],"Blocks":[53],"(PPBs),":[54],"which":[55,79],"inject":[56],"intermediate":[57],"FM":[58],"features":[59],"through":[60],"novel":[62],"spatially":[63],"continuous":[64],"modulation":[65],"(SCMo).":[66],"To":[67],"make":[68],"attention":[70],"efficient":[71],"across":[72],"scales,":[73],"we":[74],"introduce":[75],"Spatial-Channel":[76],"Compaction":[77],"(SCC),":[78],"jointly":[80],"reduces":[81],"the":[82,121,128],"spatial":[83],"token":[84],"grid":[85],"channel":[87],"dimension.":[88],"further":[90,134],"Multi-Receptive-Field":[92],"Embedding":[94],"(MRPE)":[95],"provide":[97],"neighborhood-aware":[98],"pixel":[99],"representations":[100],"before":[101],"prompting,":[103],"improving":[104,144],"robustness":[105],"signal-dependent":[107],"beyond":[109],"point-wise":[110],"embeddings.":[111],"Experiments":[112],"on":[113,127],"standard":[114],"benchmarks":[116],"demonstrate":[117],"state-of-the-art":[118],"performance,":[119],"achieving":[120],"best":[122],"PSNR,":[123],"SSIM,":[124],"LPIPS":[126],"challenging":[129],"LOLv2-Real":[130],"benchmark.":[131],"Qualitative":[132],"comparisons":[133],"show":[135],"sharper":[136],"with":[138],"more":[139],"natural":[140],"consistent":[142],"textures,":[143],"both":[145],"reconstruction":[146],"fidelity":[147],"perceptual":[149],"quality.":[150]},"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2026-05-26T00:00:00"}