{"id":"https://openalex.org/W7152678618","doi":"https://doi.org/10.48550/arxiv.2604.06665","title":"VDPP: Video Depth Post-Processing for Speed and Scalability","display_name":"VDPP: Video Depth Post-Processing for Speed and Scalability","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7152678618","doi":"https://doi.org/10.48550/arxiv.2604.06665"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.06665","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.06665","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.06665","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053389441","display_name":"Daewon Yoon","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yoon, Daewon","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015792080","display_name":"Injun Baek","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baek, Injun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113407855","display_name":"Sangyu Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Sangyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042671469","display_name":"Yearim Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Yearim","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133312131","display_name":"Nojun Kwak","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kwak, Nojun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053389441"],"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9348000288009644,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9348000288009644,"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/T10741","display_name":"Video Coding and Compression Technologies","score":0.018799999728798866,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.00570000009611249,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6500999927520752},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5575000047683716},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.544700026512146},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.45489999651908875},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44449999928474426},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4000000059604645},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.37290000915527344},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.3720000088214874},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.760200023651123},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6500999927520752},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6187999844551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.578000009059906},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5575000047683716},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.544700026512146},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44449999928474426},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4000000059604645},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.37290000915527344},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.3700000047683716},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.33550000190734863},{"id":"https://openalex.org/C141268832","wikidata":"https://www.wikidata.org/wiki/Q2940499","display_name":"Depth map","level":3,"score":0.3285999894142151},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C113346285","wikidata":"https://www.wikidata.org/wiki/Q6804193","display_name":"Measured depth","level":2,"score":0.29010000824928284},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.28839999437332153},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2775000035762787},{"id":"https://openalex.org/C84824328","wikidata":"https://www.wikidata.org/wiki/Q4633097","display_name":"2D to 3D conversion","level":3,"score":0.266400009393692},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.2624000012874603},{"id":"https://openalex.org/C2776449333","wikidata":"https://www.wikidata.org/wiki/Q7928781","display_name":"View synthesis","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C75778745","wikidata":"https://www.wikidata.org/wiki/Q342626","display_name":"Lag","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.06665","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.06665","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.06665","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.06665","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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Video":[0],"depth":[1,22,53,76,131,201],"estimation":[2],"is":[3,231],"essential":[4],"for":[5,129,224],"providing":[6],"3D":[7],"scene":[8,140],"structure":[9],"in":[10,152],"applications":[11],"ranging":[12],"from":[13,45,137],"autonomous":[14],"driving":[15,179],"to":[16,71,86,96,142],"mixed":[17],"reality.":[18],"Current":[19],"end-to-end":[20,30],"video":[21,130],"models":[23,32],"have":[24,33],"established":[25],"state-of-the-art":[26,35],"performance.":[27],"Although":[28],"current":[29],"(E2E)":[31],"achieved":[34],"performance,":[36],"they":[37],"function":[38],"as":[39,64],"tightly":[40],"coupled":[41],"systems":[42,94],"that":[43,120,206],"suffer":[44],"a":[46,67,118,209],"significant":[47],"adaptation":[48],"lag":[49],"whenever":[50],"superior":[51,210],"single-image":[52],"estimators":[54],"are":[55],"released.":[56],"To":[57],"mitigate":[58],"this":[59,104],"issue,":[60],"post-processing":[61,82,111,127],"methods":[62,83,128],"such":[63],"NVDS":[65],"offer":[66],"modular":[68],"plug-and-play":[69],"alternative":[70],"incorporate":[72],"any":[73,198],"evolving":[74,199],"image":[75,200],"model":[77],"without":[78],"retraining.":[79],"However,":[80],"existing":[81],"still":[84],"struggle":[85],"match":[87],"the":[88,108,122,135,169,220],"efficiency":[89],"and":[90,100,124,215],"practicality":[91],"of":[92,110,126,172,212],"E2E":[93,173],"due":[95],"limited":[97],"speed,":[98,213],"accuracy,":[99,214],"RGB":[101],"reliance.":[102],"In":[103],"work,":[105],"we":[106],"revitalize":[107],"role":[109],"by":[112],"proposing":[113],"VDPP":[114,146,207],"(Video":[115],"Depth":[116],"Post-Processing),":[117],"framework":[119],"improves":[121],"speed":[123,159],"accuracy":[125],"estimation.":[132],"By":[133],"shifting":[134],"paradigm":[136],"computationally":[138],"expensive":[139],"reconstruction":[141],"targeted":[143],"geometric":[144,150,180],"refinement,":[145],"operates":[147],"purely":[148],"on":[149,162],"refinements":[151],"low-resolution":[153],"space.":[154],"This":[155],"design":[156],"achieves":[157],"exceptional":[158],"(>43.5":[160],"FPS":[161],"NVIDIA":[163],"Jetson":[164],"Orin":[165],"Nano)":[166],"while":[167],"matching":[168],"temporal":[170],"coherence":[171],"systems,":[174],"with":[175,197],"dense":[176],"residual":[177],"learning":[178],"representations":[181],"rather":[182],"than":[183],"full":[184],"reconstructions.":[185],"Furthermore,":[186],"our":[187],"VDPP's":[188],"RGB-free":[189],"architecture":[190],"ensures":[191],"true":[192],"scalability,":[193],"enabling":[194],"immediate":[195],"integration":[196],"model.":[202],"Our":[203,228],"results":[204],"demonstrate":[205],"provides":[208],"balance":[211],"memory":[216],"efficiency,":[217],"making":[218],"it":[219],"most":[221],"practical":[222],"solution":[223],"real-time":[225],"edge":[226],"deployment.":[227],"project":[229],"page":[230],"at":[232],"https://github.com/injun-baek/VDPP":[233]},"counts_by_year":[],"updated_date":"2026-04-10T06:07:51.998497","created_date":"2026-04-10T00:00:00"}