{"id":"https://openalex.org/W7138469998","doi":"https://doi.org/10.48550/arxiv.2603.15129","title":"Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors","display_name":"Next-Frame Decoding for Ultra-Low-Bitrate Image Compression with Video Diffusion Priors","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138469998","doi":"https://doi.org/10.48550/arxiv.2603.15129"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15129","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15129","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.15129","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072947255","display_name":"Yunuo Chen","orcid":"https://orcid.org/0000-0003-4791-6393"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yunuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085757522","display_name":"Chuqin Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Chuqin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129735367","display_name":"Jiangchuan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jiangchuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129734874","display_name":"Xiaoyue Ling","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling, Xiaoyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129660345","display_name":"Bing He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Bing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129691064","display_name":"Jincheng Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dai, Jincheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129732855","display_name":"Li Song","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Song, Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129710833","display_name":"Guo Lu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Guo","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/T10901","display_name":"Advanced Data Compression Techniques","score":0.8827999830245972,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.8827999830245972,"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":0.027799999341368675,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.02710000053048134,"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/decoding-methods","display_name":"Decoding methods","score":0.7700999975204468},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.46459999680519104},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4320000112056732},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.39959999918937683},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.3693000078201294},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.36010000109672546},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3522999882698059},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.350600004196167}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.7700999975204468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775000095367432},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6661999821662903},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6327000260353088},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.46459999680519104},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4320000112056732},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.39959999918937683},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.3693000078201294},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3522999882698059},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.3456999957561493},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33079999685287476},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.3249000012874603},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.27559998631477356},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.267300009727478},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.25780001282691956},{"id":"https://openalex.org/C57654395","wikidata":"https://www.wikidata.org/wiki/Q1097775","display_name":"Compression artifact","level":5,"score":0.25589999556541443}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15129","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15129","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.15129","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15129","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"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":{"We":[0,44],"present":[1],"a":[2,28,50,68,75,99,114,163],"novel":[3],"paradigm":[4],"for":[5,125],"ultra-low-bitrate":[6],"image":[7,17,89,106,127],"compression":[8],"(ULB-IC)":[9],"that":[10,132],"exploits":[11],"the":[12,34,58,78,83,87,91,95,140],"``temporal''":[13],"evolution":[14],"in":[15],"generative":[16,47],"compression.":[18,128],"Specifically,":[19],"we":[20,66],"define":[21],"an":[22],"explicit":[23],"intermediate":[24],"state":[25],"during":[26],"decoding:":[27],"compact":[29],"anchor":[30,56,79],"frame,":[31,93],"which":[32,119],"preserves":[33],"scene":[35],"geometry":[36],"and":[37,86,123,155],"semantic":[38],"layout":[39],"while":[40,160],"discarding":[41],"high-frequency":[42],"details.":[43],"then":[45],"reinterpret":[46],"decoding":[48,96,111,165],"as":[49,74,82,90],"virtual":[51],"temporal":[52,76],"transition":[53],"from":[54,113],"this":[55,64],"to":[57,105,158,169],"final":[59],"reconstructed":[60],"image.":[61],"To":[62],"model":[63,72],"progression,":[65],"leverage":[67],"pretrained":[69],"video":[70],"diffusion":[71],"(VDM)":[73],"prior:":[77],"frame":[80,85],"serves":[81],"initial":[84],"original":[88],"target":[92],"transforming":[94],"process":[97],"into":[98],"next-frame":[100],"prediction":[101],"task.":[102],"In":[103],"contrast":[104],"diffusion-based":[107],"ULB-IC":[108],"models,":[109],"our":[110,133,144],"proceeds":[112],"visible,":[115],"semantically":[116],"faithful":[117],"anchor,":[118],"improves":[120],"both":[121],"fidelity":[122],"realism":[124],"perceptual":[126],"Extensive":[129],"experiments":[130],"demonstrate":[131],"method":[134,145],"achieves":[135,146],"superior":[136],"rate-distortion":[137],"performance.":[138],"On":[139],"CLIC2020":[141],"test":[142],"set,":[143],"over":[147],"50%":[148],"bitrate":[149],"savings":[150],"across":[151],"LPIPS,":[152],"DISTS,":[153],"FID,":[154],"KID":[156],"compared":[157],"DiffC,":[159],"also":[161],"delivering":[162],"significant":[164],"speedup":[166],"of":[167],"up":[168],"$\\times$5.":[170],"Code":[171],"will":[172],"be":[173],"released":[174],"at":[175],"https://github.com/UnoC-727/NeFIC.":[176]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-18T00:00:00"}
