{"id":"https://openalex.org/W7141502901","doi":"https://doi.org/10.48550/arxiv.2603.24969","title":"PASDiff: Physics-Aware Semantic Guidance for Joint Real-World Low-Light Face Enhancement and Restoration","display_name":"PASDiff: Physics-Aware Semantic Guidance for Joint Real-World Low-Light Face Enhancement and Restoration","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7141502901","doi":"https://doi.org/10.48550/arxiv.2603.24969"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.24969","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24969","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.2603.24969","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055094886","display_name":"Yilin Ni","orcid":"https://orcid.org/0009-0002-0473-9219"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Yilin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130748391","display_name":"Wenjie Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wenjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113375987","display_name":"Zhengxue Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhengxue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130797039","display_name":"Juncheng Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Juncheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130733175","display_name":"Guangwei Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Guangwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130784632","display_name":"jian Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Jian","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4262999892234802,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.4262999892234802,"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":0.3580000102519989,"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/T11448","display_name":"Face recognition and analysis","score":0.09650000184774399,"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/color-constancy","display_name":"Color constancy","score":0.7950999736785889},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5825999975204468},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5351999998092651},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5180000066757202},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.4553000032901764},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4302999973297119},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.41679999232292175},{"id":"https://openalex.org/keywords/vignetting","display_name":"Vignetting","score":0.4016999900341034},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4009000062942505}],"concepts":[{"id":"https://openalex.org/C187888035","wikidata":"https://www.wikidata.org/wiki/Q2563885","display_name":"Color constancy","level":3,"score":0.7950999736785889},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7883999943733215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718999981880188},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6791999936103821},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5825999975204468},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5351999998092651},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5180000066757202},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.4553000032901764},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4302999973297119},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.41679999232292175},{"id":"https://openalex.org/C14740026","wikidata":"https://www.wikidata.org/wiki/Q1136665","display_name":"Vignetting","level":3,"score":0.4016999900341034},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.3955000042915344},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.39340001344680786},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.35920000076293945},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3190999925136566},{"id":"https://openalex.org/C54654163","wikidata":"https://www.wikidata.org/wiki/Q5428359","display_name":"Face hallucination","level":5,"score":0.30869999527931213},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.295199990272522},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C2779495555","wikidata":"https://www.wikidata.org/wiki/Q5148596","display_name":"Color correction","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.2741999924182892},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.26809999346733093}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.24969","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24969","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.2603.24969","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.24969","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":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5142087340354919}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Face":[0],"images":[1,124],"captured":[2],"in":[3],"real-world":[4,118],"low":[5,14],"light":[6],"suffer":[7,21],"multiple":[8],"degradations-low":[9],"illumination,":[10,143],"blur,":[11],"noise,":[12],"and":[13,34,60,68,79,146,150],"visibility,":[15],"etc.":[16],"Existing":[17],"cascaded":[18],"solutions":[19],"often":[20],"from":[22,94],"severe":[23],"error":[24],"accumulation,":[25],"while":[26,99],"generic":[27],"joint":[28],"models":[29],"lack":[30],"explicit":[31],"facial":[32,85,97,123],"priors":[33],"struggle":[35],"to":[36,71],"resolve":[37],"clear":[38],"face":[39],"structures.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44,63,114],"propose":[45],"PASDiff,":[46],"a":[47,52,57,117,138],"Physics-Aware":[48],"Semantic":[49],"Diffusion":[50],"with":[51,110,125],"training-free":[53],"manner.":[54],"To":[55,82],"achieve":[56],"plausible":[58],"illumination":[59],"color":[61,144],"distribution,":[62],"leverage":[64],"inverse":[65],"intensity":[66],"weighting":[67],"Retinex":[69],"theory":[70],"introduce":[72],"photometric":[73,104],"constraints,":[74],"thereby":[75],"reliably":[76],"recovering":[77],"visibility":[78],"natural":[80,142],"chromaticity.":[81],"faithfully":[83],"reconstruct":[84],"details,":[86],"our":[87],"Style-Agnostic":[88],"Structural":[89],"Injection":[90],"(SASI)":[91],"extracts":[92],"structures":[93],"an":[95],"off-the-shelf":[96],"prior":[98],"filtering":[100],"out":[101],"its":[102],"intrinsic":[103],"biases,":[105],"seamlessly":[106],"harmonizing":[107],"identity":[108,147],"features":[109],"physical":[111],"constraints.":[112],"Furthermore,":[113],"construct":[115],"WildDark-Face,":[116],"benchmark":[119],"of":[120],"700":[121],"low-light":[122],"complex":[126],"degradations.":[127],"Extensive":[128],"experiments":[129],"demonstrate":[130],"that":[131],"PASDiff":[132],"significantly":[133],"outperforms":[134],"existing":[135],"methods,":[136],"achieving":[137],"superior":[139],"balance":[140],"among":[141],"recovery,":[145],"consistency.":[148],"Code":[149],"dataset":[151],"will":[152],"be":[153],"available":[154],"at":[155],"https://github.com/IVIPLab/PASDiff.":[156]},"counts_by_year":[],"updated_date":"2026-07-04T06:09:54.619538","created_date":"2026-03-28T00:00:00"}
