{"id":"https://openalex.org/W7141389994","doi":"https://doi.org/10.48550/arxiv.2603.25463","title":"CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration","display_name":"CIAR: Interval-based Collaborative Decoding for Image Generation Acceleration","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7141389994","doi":"https://doi.org/10.48550/arxiv.2603.25463"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.25463","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25463","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":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.2603.25463","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120635870","display_name":"Keming Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ye, Keming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130815813","display_name":"Zhou Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Zhou","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130741504","display_name":"Fan Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Fan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130747040","display_name":"Shengyu Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shengyu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5120635870"],"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":0.8795999884605408,"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":0.8795999884605408,"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":0.0203000009059906,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.011500000022351742,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6948000192642212},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6621000170707703},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.445499986410141},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42899999022483826},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4154999852180481},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4065000116825104},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.3885999917984009},{"id":"https://openalex.org/keywords/predictability","display_name":"Predictability","score":0.3804999887943268},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.36059999465942383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541999816894531},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6948000192642212},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6621000170707703},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4519999921321869},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.445499986410141},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42899999022483826},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4065000116825104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4047999978065491},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.3885999917984009},{"id":"https://openalex.org/C197640229","wikidata":"https://www.wikidata.org/wiki/Q2534066","display_name":"Predictability","level":2,"score":0.3804999887943268},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35260000824928284},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3303999900817871},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3292999863624573},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.32910001277923584},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30250000953674316},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.28850001096725464},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.2854999899864197},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C3913047","wikidata":"https://www.wikidata.org/wiki/Q1956265","display_name":"sync","level":3,"score":0.26660001277923584},{"id":"https://openalex.org/C160086991","wikidata":"https://www.wikidata.org/wiki/Q5939193","display_name":"Human visual system model","level":3,"score":0.26269999146461487},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.25463","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25463","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":"doi:10.48550/arxiv.2603.25463","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.25463","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":false,"raw_source_name":null,"raw_type":"article"},"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":{"Auto-regressive":[0],"(AR)":[1],"models":[2],"have":[3],"recently":[4],"made":[5],"notable":[6],"progress":[7],"in":[8,68],"image":[9,158],"generation,":[10],"achieving":[11],"performance":[12],"comparable":[13],"to":[14,43,65,99,123,161],"diffusion-based":[15],"approaches.":[16],"However,":[17],"their":[18],"computational":[19],"intensity":[20],"and":[21,59,102,132,150],"sequential":[22],"nature":[23],"impede":[24],"on-device":[25,41,90],"deployment,":[26],"causing":[27],"disruptive":[28],"latency.":[29],"We":[30],"address":[31],"this":[32],"via":[33,135],"a":[34,119,136,147],"cloud-device":[35],"collaboration":[36],"framework":[37],"\\textbf{CIAR},":[38],"which":[39,63,94],"utilizes":[40],"self-verification":[42],"handle":[44],"two":[45],"key":[46],"properties":[47],"of":[48,111],"visual":[49,108,130],"synthesis:":[50],"\\textit{the":[51],"vast":[52],"token":[53,91],"vocabulary}":[54],"required":[55],"for":[56,106],"high-fidelity":[57],"images":[58],"\\textit{inherent":[60],"spatial":[61],"redundancy}":[62],"leads":[64],"extreme":[66],"predictability":[67],"homogeneous":[69],"regions,":[70],"while":[71,128,156],"object":[72],"boundaries":[73],"exhibit":[74],"high":[75],"uncertainty.":[76],"Uniform":[77],"verification":[78],"wastes":[79],"resources":[80],"on":[81,88],"such":[82],"redundant":[83],"tokens.":[84],"Our":[85],"solution":[86,114],"centers":[87],"an":[89],"uncertainty":[92],"quantifier,":[93],"adopts":[95],"continuous":[96],"probability":[97],"intervals":[98],"accelerate":[100],"processing":[101],"make":[103],"it":[104],"feasible":[105],"large":[107],"vocabularies":[109],"instead":[110],"conventional":[112],"discrete":[113],"sets.":[115],"Additionally,":[116],"we":[117],"incorporate":[118],"Interval-enhanced":[120],"decoding":[121,127],"module":[122],"further":[124],"speed":[125],"up":[126],"maintaining":[129],"fidelity":[131],"semantic":[133],"consistency":[134],"distribution":[137],"alignment":[138],"training":[139],"strategy.":[140],"Extensive":[141],"experiments":[142],"demonstrate":[143],"that":[144],"CIAR":[145],"achieves":[146],"2.18x":[148],"speed-up":[149],"reduces":[151],"cloud":[152],"requests":[153],"by":[154],"70\\%,":[155],"preserving":[157],"quality":[159],"compared":[160],"existing":[162],"methods.":[163]},"counts_by_year":[],"updated_date":"2026-03-28T06:16:51.555046","created_date":"2026-03-28T00:00:00"}
