{"id":"https://openalex.org/W7162638571","doi":"https://doi.org/10.48550/arxiv.2605.27460","title":"D$^2$Turb: Depth-Aware Simulation and Decoupled Learning for Single-Frame Atmospheric Turbulence Mitigation","display_name":"D$^2$Turb: Depth-Aware Simulation and Decoupled Learning for Single-Frame Atmospheric Turbulence Mitigation","publication_year":2026,"publication_date":"2026-05-25","ids":{"openalex":"https://openalex.org/W7162638571","doi":"https://doi.org/10.48550/arxiv.2605.27460"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.27460","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27460","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.2605.27460","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048255452","display_name":"Zixiao Hu","orcid":"https://orcid.org/0009-0007-9965-0503"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Zixiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137247314","display_name":"Tianyu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Tianyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137299753","display_name":"Guoqing Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Guoqing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137292388","display_name":"Wei Li","orcid":"https://orcid.org/0000-0002-2897-649X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103636655","display_name":"Guoguo Xin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xin, Guoguo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137235851","display_name":"Xun Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137279196","display_name":"Peng Wang","orcid":"https://orcid.org/0000-0002-1024-0687"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Peng","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":0.5263000130653381,"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":0.5263000130653381,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.1145000010728836,"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":0.0625,"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/deblurring","display_name":"Deblurring","score":0.9235000014305115},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4609000086784363},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.4413999915122986},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4162999987602234},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.3702999949455261},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.3571999967098236},{"id":"https://openalex.org/keywords/rectification","display_name":"Rectification","score":0.33489999175071716}],"concepts":[{"id":"https://openalex.org/C2777693668","wikidata":"https://www.wikidata.org/wiki/Q25053743","display_name":"Deblurring","level":5,"score":0.9235000014305115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5968999862670898},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5205000042915344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4821999967098236},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4609000086784363},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.4413999915122986},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4162999987602234},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.3702999949455261},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3571999967098236},{"id":"https://openalex.org/C50942859","wikidata":"https://www.wikidata.org/wiki/Q4967193","display_name":"Rectification","level":3,"score":0.33489999175071716},{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C121448008","wikidata":"https://www.wikidata.org/wiki/Q1755722","display_name":"Large eddy simulation","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2824000120162964},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.26339998841285706},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2574000060558319},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2538999915122986},{"id":"https://openalex.org/C7305733","wikidata":"https://www.wikidata.org/wiki/Q207961","display_name":"Geometric shape","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C2777708103","wikidata":"https://www.wikidata.org/wiki/Q852589","display_name":"Motion blur","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.27460","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27460","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.2605.27460","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.27460","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":[{"score":0.53714919090271,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Single-frame":[0],"atmospheric":[1],"turbulence":[2],"mitigation":[3],"is":[4],"inherently":[5],"ill-posed":[6],"due":[7],"to":[8,26,109,152],"spatially":[9],"varying":[10],"blur":[11],"coupled":[12],"with":[13,30,47,174],"non-rigid":[14],"geometric":[15,31,99,115,182],"distortion.":[16],"Existing":[17],"end-to-end":[18],"approaches":[19],"trained":[20],"on":[21,168],"flat-field":[22],"simulations":[23],"often":[24],"struggle":[25],"balance":[27],"texture":[28,96,102,179],"recovery":[29,180],"rectification.":[32,100],"To":[33,122],"overcome":[34],"this":[35,86],"limitation,":[36],"we":[37,52,132],"propose":[38,134],"D$^2$Turb,":[39],"a":[40,54,75,106],"unified":[41],"framework":[42],"that":[43,59,142,163],"bridges":[44],"physics-grounded":[45],"simulation":[46,87],"explicitly":[48],"decoupled":[49],"restoration.":[50],"First,":[51],"introduce":[53],"Depth-Aware":[55],"Turbulence":[56],"Synthesis":[57],"protocol":[58],"incorporates":[60],"scene":[61],"depth":[62],"into":[63,92],"the":[64,118,124,149],"phase-to-space":[65],"formulation.":[66],"This":[67],"generates":[68],"physically":[69],"consistent,":[70],"depth-dependent":[71],"degradations":[72],"and":[73,98,171,181,186],"provides":[74],"crucial":[76],"intermediate":[77],"tilt":[78],"supervision":[79],"signal":[80],"for":[81,117,157],"disentangled":[82],"learning.":[83],"Building":[84],"upon":[85],"engine,":[88],"D$^2$Turb":[89,164],"decomposes":[90],"restoration":[91],"two":[93],"interactive":[94],"stages:":[95],"deblurring":[97,103,107,150],"The":[101],"stage":[104],"employs":[105],"backbone":[108],"recover":[110],"fine-grained":[111],"details":[112],"while":[113],"preserving":[114],"distortion":[116],"subsequent":[119],"rectification":[120],"stage.":[121],"mitigate":[123],"information":[125],"fragmentation":[126],"commonly":[127],"observed":[128],"in":[129,177],"cascaded":[130],"designs,":[131],"further":[133],"an":[135],"Adaptive":[136],"Structural":[137],"Prior":[138],"Injection":[139],"(ASPI)":[140],"mechanism":[141],"dynamically":[143],"transfers":[144],"deep":[145],"structural":[146],"representations":[147],"from":[148],"module":[151],"guide":[153],"dense":[154],"flow":[155],"prediction":[156],"spatial":[158],"unwarping.":[159],"Extensive":[160],"experiments":[161],"demonstrate":[162],"achieves":[165],"state-of-the-art":[166],"performance":[167],"both":[169,178],"synthetic":[170],"real-world":[172],"datasets,":[173],"consistent":[175],"improvements":[176],"fidelity.":[183],"Our":[184],"code":[185],"pre-trained":[187],"models":[188],"are":[189],"publicly":[190],"available":[191],"at":[192],"https://github.com/HertzDot222/D2Turb.":[193]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-29T00:00:00"}
