{"id":"https://openalex.org/W7165791032","doi":"https://doi.org/10.48550/arxiv.2606.24479","title":"MambaRaw: Selective State Space Modeling for Efficient 4K Raw Image Reconstruction","display_name":"MambaRaw: Selective State Space Modeling for Efficient 4K Raw Image Reconstruction","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7165791032","doi":"https://doi.org/10.48550/arxiv.2606.24479"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.24479","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24479","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":"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.2606.24479","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134097466","display_name":"Peize Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Peize","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062508341","display_name":"Fanhu Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Fanhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139261117","display_name":"Tongda Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Tongda","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139245472","display_name":"Xingguo Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Xingguo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139274536","display_name":"Xinjie Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xinjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062853294","display_name":"Xingtong Ge","orcid":"https://orcid.org/0000-0001-7603-2832"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge, Xingtong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139238918","display_name":"Haotian Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Haotian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139240073","display_name":"Yan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yan","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/T12357","display_name":"Digital Media Forensic Detection","score":0.288100004196167,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.288100004196167,"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":0.1754000037908554,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.09300000220537186,"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/metadata","display_name":"Metadata","score":0.47620001435279846},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.4442000091075897},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4366999864578247},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.41780000925064087},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.412200003862381},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.39070001244544983},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.37529999017715454},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.35359999537467957},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.3467999994754791},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3447999954223633}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7628999948501587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.557200014591217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4902999997138977},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.47620001435279846},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.4442000091075897},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4366999864578247},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.37529999017715454},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.35359999537467957},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.33820000290870667},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C65377053","wikidata":"https://www.wikidata.org/wiki/Q1572121","display_name":"Image file formats","level":3,"score":0.32690000534057617},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.3109000027179718},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3093999922275543},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C195956108","wikidata":"https://www.wikidata.org/wiki/Q7268362","display_name":"Quadratic growth","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29089999198913574},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.2888000011444092},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2881999909877777},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.28760001063346863},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.27790001034736633},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.26840001344680786},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.24479","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24479","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":"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.2606.24479","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.24479","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":"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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6578719615936279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In-camera":[0],"JPEG":[1],"previews":[2],"are":[3],"ubiquitous":[4],"in":[5],"raw":[6,30,45,70,134,162],"image":[7,71],"formats":[8],"and":[9,114,152,178],"provide":[10],"an":[11,119],"sRGB":[12],"reference":[13],"at":[14,40,168,189],"negligible":[15],"storage":[16],"cost.":[17],"Although":[18],"existing":[19],"metadata-based":[20,69,150],"reconstruction":[21,72,163],"frameworks":[22],"can":[23],"exploit":[24],"this":[25],"side":[26],"information":[27],"when":[28],"recovering":[29],"images,":[31],"their":[32],"context":[33],"models":[34],"often":[35],"become":[36],"computationally":[37],"expensive":[38],"especially":[39],"high":[41],"resolution,":[42],"eg,":[43],"4K":[44],"image,":[46],"given":[47],"that":[48,74,123],"attention":[49],"mechanisms":[50],"scale":[51],"quadratically":[52],"with":[53,95,164],"feature":[54,125],"maps,":[55],"hindering":[56],"its":[57],"practical":[58],"application.":[59],"To":[60],"address":[61],"these":[62],"limitations,":[63],"we":[64],"propose":[65],"MambaRaw,":[66],"a":[67,89,154],"JPEG-conditioned":[68],"framework":[73],"uses":[75],"State":[76],"Space":[77],"Models":[78],"(SSMs)":[79],"to":[80,110,127],"estimate":[81],"entropy":[82],"parameters":[83],"efficiently.":[84],"Our":[85],"key":[86],"contribution":[87],"comprises":[88],"Spatial-Energy":[90],"Coupled":[91],"Context":[92],"Modeling":[93],"mechanism":[94],"two":[96],"lightweight":[97],"modules:":[98],"(1)":[99],"TileMambaBlock,":[100],"which":[101],"performs":[102],"Mamba-style":[103],"selective":[104],"scanning":[105],"only":[106],"on":[107,138],"information-dense":[108],"tiles":[109],"improve":[111],"the":[112,129,158],"efficiency;":[113],"(2)":[115],"Energy-Aware":[116],"Refinement":[117],"(EAR),":[118],"identity-initialized":[120],"residual":[121],"module":[122],"enhance":[124],"representation":[126],"match":[128],"long-tail":[130],"energy":[131],"distribution":[132],"of":[133,157],"signals.":[135],"Extensive":[136],"experiments":[137],"three":[139],"camera":[140],"datasets":[141],"(Sony,":[142],"Olympus,":[143],"Samsung)":[144],"show":[145],"consistent":[146],"improvements":[147],"over":[148],"strong":[149],"baselines":[151],"set":[153],"new":[155],"state":[156],"art":[159],"for":[160],"JPEG-guided":[161],"great":[165],"efficiency.":[166],"Notably,":[167],"low":[169],"metadata":[170],"bitrates,":[171],"MambaRaw":[172],"increases":[173],"PSNR":[174],"by":[175,183],"1.2--1.4":[176],"dB":[177],"reduces":[179],"end-to-end":[180],"coding":[181],"latency":[182],"about":[184],"9%.":[185],"Code":[186],"is":[187],"released":[188],"https://github.com/Peizeli1/MambaRaw.":[190]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-25T00:00:00"}