{"id":"https://openalex.org/W7118626929","doi":"https://doi.org/10.48550/arxiv.2601.02793","title":"StableDPT: Temporal Stable Monocular Video Depth Estimation","display_name":"StableDPT: Temporal Stable Monocular Video Depth Estimation","publication_year":2026,"publication_date":"2026-01-06","ids":{"openalex":"https://openalex.org/W7118626929","doi":"https://doi.org/10.48550/arxiv.2601.02793"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.02793","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.02793","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.2601.02793","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122161401","display_name":"Ivan Sobko","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sobko, Ivan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011444017","display_name":"Hayko Riemenschneider","orcid":"https://orcid.org/0000-0003-2541-7999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Riemenschneider, Hayko","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122297362","display_name":"Markus Gross","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gross, Markus","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052388616","display_name":"Christopher Schroers","orcid":"https://orcid.org/0000-0003-1473-1878"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schroers, Christopher","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5122161401"],"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":0.8111000061035156,"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":0.8111000061035156,"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":0.12849999964237213,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.021900000050663948,"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/monocular","display_name":"Monocular","score":0.6556000113487244},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4948999881744385},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.49459999799728394},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4650000035762787},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4083999991416931},{"id":"https://openalex.org/keywords/ringing","display_name":"Ringing","score":0.38190001249313354},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.37779998779296875},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.357699990272522}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8027999997138977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7059999704360962},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6556000113487244},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6259999871253967},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4948999881744385},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.49459999799728394},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4083999991416931},{"id":"https://openalex.org/C30684385","wikidata":"https://www.wikidata.org/wiki/Q176509","display_name":"Ringing","level":3,"score":0.38190001249313354},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.37779998779296875},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3497999906539917},{"id":"https://openalex.org/C19743564","wikidata":"https://www.wikidata.org/wiki/Q25378119","display_name":"Flicker","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.27480000257492065},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2639000117778778},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.25060001015663147}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.02793","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.02793","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.2601.02793","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.02793","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":{"Applying":[0],"single":[1,44],"image":[2],"Monocular":[3],"Depth":[4],"Estimation":[5],"(MDE)":[6],"models":[7],"to":[8,88,103,111],"video":[9,32,97],"sequences":[10],"introduces":[11],"significant":[12],"temporal":[13,38,77,154],"instability":[14],"and":[15,61,107,114,136,159],"flickering":[16],"artifacts.":[17],"We":[18],"propose":[19,121],"a":[20,36,43,47,122],"novel":[21,123],"approach":[22],"that":[23],"adapts":[24],"any":[25],"state-of-the-art":[26,157],"image-based":[27],"(depth)":[28],"estimation":[29],"model":[30,102],"for":[31,126],"processing":[33,127,164],"by":[34],"integrating":[35],"new":[37],"module":[39],"-":[40],"trainable":[41],"on":[42,148,160],"GPU":[45],"in":[46,75,144,165],"few":[48],"days.":[49],"Our":[50],"architecture":[51],"StableDPT":[52],"builds":[53],"upon":[54],"an":[55,84],"off-the-shelf":[56],"Vision":[57],"Transformer":[58,66],"(ViT)":[59],"encoder":[60],"enhances":[62],"the":[63,76,80,95,101,133],"Dense":[64],"Prediction":[65],"(DPT)":[67],"head.":[68],"The":[69],"core":[70],"of":[71,129],"our":[72],"contribution":[73],"lies":[74],"layers":[78],"within":[79],"head,":[81],"which":[82],"use":[83],"efficient":[85],"cross-attention":[86],"mechanism":[87],"integrate":[89],"information":[90],"from":[91],"keyframes":[92],"sampled":[93],"across":[94],"entire":[96],"sequence.":[98],"This":[99],"allows":[100],"capture":[104],"global":[105],"context":[106],"inter-frame":[108],"relationships":[109],"leading":[110],"more":[112],"accurate":[113],"temporally":[115],"stable":[116],"depth":[117],"predictions.":[118],"Furthermore,":[119],"we":[120],"inference":[124],"strategy":[125],"videos":[128],"arbitrary":[130],"length":[131],"avoiding":[132],"scale":[134],"misalignment":[135],"redundant":[137],"computations":[138],"associated":[139],"with":[140],"overlapping":[141],"windows":[142],"used":[143],"other":[145],"methods.":[146],"Evaluations":[147],"multiple":[149],"benchmark":[150],"datasets":[151],"demonstrate":[152],"improved":[153],"consistency,":[155],"competitive":[156],"performance":[158],"top":[161],"2x":[162],"faster":[163],"real-world":[166],"scenarios.":[167]},"counts_by_year":[],"updated_date":"2026-01-08T20:10:11.968330","created_date":"2026-01-08T00:00:00"}