{"id":"https://openalex.org/W7131414627","doi":"https://doi.org/10.48550/arxiv.2602.19202","title":"UniE2F: A Unified Diffusion Framework for Event-to-Frame Reconstruction with Video Foundation Models","display_name":"UniE2F: A Unified Diffusion Framework for Event-to-Frame Reconstruction with Video Foundation Models","publication_year":2026,"publication_date":"2026-02-22","ids":{"openalex":"https://openalex.org/W7131414627","doi":"https://doi.org/10.48550/arxiv.2602.19202"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.19202","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.19202","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.2602.19202","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126808427","display_name":"Gang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xu, Gang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006743312","display_name":"Zhiyu Zhu","orcid":"https://orcid.org/0000-0002-0726-4522"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Zhiyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126119377","display_name":"Junhui Hou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hou, Junhui","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5126808427"],"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/event","display_name":"Event (particle physics)","score":0.6247000098228455},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.5979999899864197},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5318999886512756},{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.4772000014781952},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.42559999227523804},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.41359999775886536},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.4120999872684479},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.38019999861717224},{"id":"https://openalex.org/keywords/video-compression-picture-types","display_name":"Video compression picture types","score":0.37439998984336853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.816100001335144},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6247000098228455},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6233000159263611},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5979999899864197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559499979019165},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5318999886512756},{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.4772000014781952},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.41359999775886536},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.4120999872684479},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38989999890327454},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.37439998984336853},{"id":"https://openalex.org/C172849965","wikidata":"https://www.wikidata.org/wiki/Q3148875","display_name":"Reference frame","level":3,"score":0.36820000410079956},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.35929998755455017},{"id":"https://openalex.org/C72560505","wikidata":"https://www.wikidata.org/wiki/Q204510","display_name":"Motion interpolation","level":5,"score":0.3587999939918518},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.3492000102996826},{"id":"https://openalex.org/C117090137","wikidata":"https://www.wikidata.org/wiki/Q7927977","display_name":"Video post-processing","level":5,"score":0.3472000062465668},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3368000090122223},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.33469998836517334},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31929999589920044},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.29249998927116394},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.28220000863075256},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.27889999747276306},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.2651999890804291}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.19202","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.19202","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.2602.19202","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.19202","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Event":[0],"cameras":[1],"excel":[2],"at":[3,184],"high-speed,":[4],"low-power,":[5],"and":[6,35,94,122,146,159],"high-dynamic-range":[7],"scene":[8],"perception.":[9],"However,":[10],"as":[11,78],"they":[12],"fundamentally":[13],"record":[14],"only":[15],"relative":[16],"intensity":[17],"changes":[18],"rather":[19],"than":[20],"absolute":[21],"intensity,":[22],"the":[23,48,87,91,100,107,130,164,167,172],"resulting":[24],"data":[25,77],"streams":[26],"suffer":[27],"from":[28,62],"a":[29,52,70,79,125,137],"significant":[30],"loss":[31],"of":[32,51,109],"spatial":[33],"information":[34],"static":[36],"texture":[37],"details.":[38],"In":[39],"this":[40,44],"paper,":[41],"we":[42,67,97,114],"address":[43],"limitation":[45],"by":[46,73,128],"leveraging":[47],"generative":[49],"prior":[50],"pre-trained":[53],"video":[54,60,95,110,119,168,176],"diffusion":[55,132],"model":[56,72],"to":[57,81,105,118,166],"reconstruct":[58],"high-fidelity":[59],"frames":[61],"sparse":[63],"event":[64,76,92],"data.":[65],"Specifically,":[66],"first":[68],"establish":[69],"baseline":[71],"directly":[74],"applying":[75],"condition":[80],"synthesize":[82],"videos.":[83],"Then,":[84],"based":[85],"on":[86,144],"physical":[88],"correlation":[89],"between":[90],"stream":[93],"frames,":[96],"further":[98],"introduce":[99],"event-based":[101],"inter-frame":[102],"residual":[103],"guidance":[104],"enhance":[106],"accuracy":[108],"frame":[111,120],"reconstruction.":[112],"Furthermore,":[113],"extend":[115],"our":[116,151],"method":[117,152],"interpolation":[121],"prediction":[123],"in":[124,171],"zero-shot":[126],"manner":[127],"modulating":[129],"reverse":[131],"sampling":[133],"process,":[134],"thereby":[135],"creating":[136],"unified":[138],"event-to-frame":[139],"reconstruction":[140],"framework.":[141],"Experimental":[142],"results":[143],"real-world":[145],"synthetic":[147],"datasets":[148],"demonstrate":[149],"that":[150],"significantly":[153],"outperforms":[154],"previous":[155],"approaches":[156],"both":[157],"quantitatively":[158],"qualitatively.":[160],"We":[161],"also":[162],"refer":[163],"reviewers":[165],"demo":[169],"contained":[170],"supplementary":[173],"material":[174],"for":[175],"results.":[177],"The":[178],"code":[179],"will":[180],"be":[181],"publicly":[182],"available":[183],"https://github.com/CS-GangXu/UniE2F.":[185]},"counts_by_year":[],"updated_date":"2026-02-26T06:34:08.959763","created_date":"2026-02-26T00:00:00"}