{"id":"https://openalex.org/W7140187288","doi":"https://doi.org/10.48550/arxiv.2603.20284","title":"STAC: Plug-and-Play Spatio-Temporal Aware Cache Compression for Streaming 3D Reconstruction","display_name":"STAC: Plug-and-Play Spatio-Temporal Aware Cache Compression for Streaming 3D Reconstruction","publication_year":2026,"publication_date":"2026-03-18","ids":{"openalex":"https://openalex.org/W7140187288","doi":"https://doi.org/10.48550/arxiv.2603.20284"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.20284","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20284","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.2603.20284","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wang, Runze","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Runze","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Song, Yuxuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Yuxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Cai, Youcheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cai, Youcheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Liu, Ligang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ligang","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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.37700000405311584,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.37700000405311584,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.27410000562667847,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.15809999406337738,"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/cache","display_name":"Cache","score":0.7705000042915344},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5662000179290771},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5519999861717224},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.42559999227523804},{"id":"https://openalex.org/keywords/cpu-cache","display_name":"CPU cache","score":0.3977999985218048},{"id":"https://openalex.org/keywords/locality-of-reference","display_name":"Locality of reference","score":0.3937000036239624},{"id":"https://openalex.org/keywords/cache-algorithms","display_name":"Cache algorithms","score":0.3598000109195709},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.3179999887943268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8616999983787537},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.7705000042915344},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5662000179290771},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5519999861717224},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41200000047683716},{"id":"https://openalex.org/C189783530","wikidata":"https://www.wikidata.org/wiki/Q352090","display_name":"CPU cache","level":3,"score":0.3977999985218048},{"id":"https://openalex.org/C27602214","wikidata":"https://www.wikidata.org/wiki/Q1868547","display_name":"Locality of reference","level":3,"score":0.3937000036239624},{"id":"https://openalex.org/C38556500","wikidata":"https://www.wikidata.org/wiki/Q13404475","display_name":"Cache algorithms","level":4,"score":0.3598000109195709},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.34769999980926514},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.3073999881744385},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C201148951","wikidata":"https://www.wikidata.org/wiki/Q5015976","display_name":"Cache coloring","level":4,"score":0.29269999265670776},{"id":"https://openalex.org/C141917322","wikidata":"https://www.wikidata.org/wiki/Q1025017","display_name":"Cache coherence","level":5,"score":0.2842999994754791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2815000116825104},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.2718000113964081},{"id":"https://openalex.org/C113166858","wikidata":"https://www.wikidata.org/wiki/Q5015981","display_name":"Cache pollution","level":5,"score":0.27149999141693115},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C25536678","wikidata":"https://www.wikidata.org/wiki/Q5015977","display_name":"Cache invalidation","level":5,"score":0.2621999979019165},{"id":"https://openalex.org/C187166803","wikidata":"https://www.wikidata.org/wiki/Q2835831","display_name":"Streaming algorithm","level":3,"score":0.26179999113082886},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.20284","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20284","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.2603.20284","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20284","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"3D":[1,67,88,181],"reconstruction":[2,51,68,89,161,182],"from":[3],"streaming":[4,87,184],"inputs":[5],"requires":[6],"both":[7],"long-term":[8,109],"temporal":[9,54,149],"consistency":[10],"and":[11,53,135,151,170],"efficient":[12],"memory":[13,40,44,165],"usage.":[14],"Although":[15],"causal":[16,64,92],"variants":[17],"of":[18,96,179],"VGGT":[19],"address":[20],"this":[21,57,75],"challenge":[22],"through":[23],"a":[24,38,80,101,118,137],"key-value":[25],"(KV)":[26],"cache":[27,30,47],"mechanism,":[28],"the":[29,34,177],"grows":[31],"linearly":[32],"with":[33,90],"stream":[35],"length,":[36],"creating":[37],"major":[39],"bottleneck.":[41],"Under":[42],"limited":[43],"budgets,":[45],"early":[46],"eviction":[48],"significantly":[49],"degrades":[50],"quality":[52,162],"consistency.":[55],"In":[56],"work,":[58],"we":[59,77],"observe":[60],"that":[61,107,124,142,157],"attention":[62,115],"in":[63,183],"transformers":[65],"for":[66,86,132],"exhibits":[69],"intrinsic":[70],"spatio-temporal":[71],"sparsity.":[72],"Based":[73],"on":[74],"insight,":[76],"propose":[78],"STAC,":[79],"Spatio-Temporally":[81],"Aware":[82],"Cache":[83],"Compression":[84],"framework":[85],"large":[91],"transformers.":[93],"STAC":[94,158],"consists":[95],"three":[97],"key":[98],"components:":[99],"(1)":[100],"Working":[102],"Temporal":[103],"Token":[104,121],"Caching":[105,122],"mechanism":[106],"preserves":[108],"informative":[110],"tokens":[111,128],"using":[112],"decayed":[113],"cumulative":[114],"scores;":[116],"(2)":[117],"Long-term":[119],"Spatial":[120],"scheme":[123],"compresses":[125],"spatially":[126],"redundant":[127],"into":[129],"voxel-aligned":[130],"representations":[131],"memory-efficient":[133],"storage;":[134],"(3)":[136],"Chunk-based":[138],"Multi-frame":[139],"Optimization":[140],"strategy":[141],"jointly":[143],"processes":[144],"consecutive":[145],"frames":[146],"to":[147],"improve":[148],"coherence":[150],"GPU":[152],"efficiency.":[153],"Extensive":[154],"experiments":[155],"show":[156],"achieves":[159],"state-of-the-art":[160],"while":[163],"reducing":[164],"consumption":[166],"by":[167,173],"nearly":[168],"10x":[169],"accelerating":[171],"inference":[172],"4x,":[174],"substantially":[175],"improving":[176],"scalability":[178],"real-time":[180],"settings.":[185]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-25T00:00:00"}
