{"id":"https://openalex.org/W7131386675","doi":"https://doi.org/10.48550/arxiv.2602.20417","title":"gQIR: Generative Quanta Image Reconstruction","display_name":"gQIR: Generative Quanta Image Reconstruction","publication_year":2026,"publication_date":"2026-02-23","ids":{"openalex":"https://openalex.org/W7131386675","doi":"https://doi.org/10.48550/arxiv.2602.20417"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.20417","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101328071","display_name":"Aryan Garg","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Garg, Aryan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100594930","display_name":"Sizhuo Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Sizhuo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126793476","display_name":"Mohit Gupta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gupta, Mohit","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101328071"],"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":0.2630999982357025,"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":0.2630999982357025,"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":0.07729999721050262,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.06419999897480011,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/generative-model","display_name":"Generative model","score":0.5516999959945679},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5286999940872192},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.5066999793052673},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4397999942302704},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.43540000915527344},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.400299996137619},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.38909998536109924},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.3741999864578247},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3628000020980835}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.650600016117096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6365000009536743},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5878000259399414},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5516999959945679},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5286999940872192},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.5066999793052673},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4397999942302704},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.43540000915527344},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.400299996137619},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.38909998536109924},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.358599990606308},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C27624317","wikidata":"https://www.wikidata.org/wiki/Q263499","display_name":"Demosaicing","level":5,"score":0.33640000224113464},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3176000118255615},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.301800012588501},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2879999876022339},{"id":"https://openalex.org/C159317903","wikidata":"https://www.wikidata.org/wiki/Q3198","display_name":"Photon","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.26829999685287476},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C89720835","wikidata":"https://www.wikidata.org/wiki/Q1531701","display_name":"Global illumination","level":3,"score":0.25429999828338623}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.20417","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.20417","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20417","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.20417","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.5725008249282837,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Capturing":[0],"high-quality":[1,22],"images":[2],"from":[3,45],"only":[4,35],"a":[5,10,42,46,156],"few":[6],"detected":[7],"photons":[8],"is":[9],"fundamental":[11],"challenge":[12],"in":[13,24],"computational":[14],"imaging.":[15,92],"Single-photon":[16],"avalanche":[17],"diode":[18],"(SPAD)":[19],"sensors":[20],"promise":[21,179],"imaging":[23],"regimes":[25],"where":[26],"conventional":[27],"cameras":[28],"fail,":[29],"but":[30],"raw":[31],"\\emph{quanta":[32],"frames}":[33],"contain":[34],"sparse,":[36],"noisy,":[37],"binary":[38],"photon":[39,111],"detections.":[40],"Recovering":[41],"coherent":[43],"image":[44],"burst":[47,91,153],"of":[48,89,101,180],"such":[49],"frames":[50],"requires":[51],"handling":[52],"alignment,":[53],"denoising,":[54],"and":[55,98,130,144,155,173],"demosaicing":[56],"(for":[57],"color)":[58],"under":[59,134],"noise":[60],"statistics":[61],"far":[62],"outside":[63],"those":[64],"assumed":[65],"by":[66],"standard":[67],"restoration":[68,116],"pipelines":[69],"or":[70],"modern":[71,174],"generative":[72,183],"models.":[73],"We":[74,137],"present":[75],"an":[76],"approach":[77,122,166],"that":[78,125],"adapts":[79],"large":[80,182],"text-to-image":[81],"latent":[82],"diffusion":[83,103],"models":[84,104],"to":[85,108,185],"the":[86,96,139,149,165,178],"photon-limited":[87,187],"domain":[88],"quanta":[90],"Our":[93],"method":[94,140],"leverages":[95],"structural":[97],"semantic":[99],"priors":[100,184],"internet-scale":[102],"while":[105],"introducing":[106],"mechanisms":[107],"handle":[109],"Bernoulli":[110],"statistics.":[112],"By":[113],"integrating":[114],"latent-space":[115],"with":[117],"burst-level":[118],"spatio-temporal":[119],"reasoning,":[120],"our":[121],"produces":[123],"reconstructions":[124],"are":[126],"both":[127],"photometrically":[128],"faithful":[129],"perceptually":[131],"pleasing,":[132],"even":[133],"high-speed":[135],"motion.":[136],"evaluate":[138],"on":[141],"synthetic":[142],"benchmarks":[143],"new":[145],"real-world":[146],"datasets,":[147],"including":[148],"first":[150],"color":[151],"SPAD":[152],"dataset":[154],"challenging":[157],"\\textit{Deforming":[158],"(XD)}":[159],"video":[160],"benchmark.":[161],"Across":[162],"all":[163],"settings,":[164],"substantially":[167],"improves":[168],"perceptual":[169],"quality":[170],"over":[171],"classical":[172],"learning-based":[175],"baselines,":[176],"demonstrating":[177],"adapting":[181],"extreme":[186],"sensing.":[188],"Code":[189],"at":[190],"\\href{https://github.com/Aryan-Garg/gQIR}{https://github.com/Aryan-Garg/gQIR}.":[191]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-26T00:00:00"}
