{"id":"https://openalex.org/W4408353009","doi":"https://doi.org/10.1109/icassp49660.2025.10889752","title":"Sequential Posterior Sampling with Diffusion Models","display_name":"Sequential Posterior Sampling with Diffusion Models","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408353009","doi":"https://doi.org/10.1109/icassp49660.2025.10889752"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087034940","display_name":"Tristan S.W. Stevens","orcid":"https://orcid.org/0000-0002-8563-5931"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Tristan S.W. Stevens","raw_affiliation_strings":["Eindhoven University of Technology,Dept. of Electrical Engineering,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Dept. of Electrical Engineering,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099380839","display_name":"Ois\u00edn Nolan","orcid":"https://orcid.org/0009-0002-6939-7627"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ois\u00edn Nolan","raw_affiliation_strings":["Eindhoven University of Technology,Dept. of Electrical Engineering,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Dept. of Electrical Engineering,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010177079","display_name":"Jean-Luc Robert","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131230","display_name":"Philips (United States)","ror":"https://ror.org/03kw6wr76","country_code":"US","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210131230"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean-Luc Robert","raw_affiliation_strings":["Philips Research North America,Cambridge,MA,USA"],"affiliations":[{"raw_affiliation_string":"Philips Research North America,Cambridge,MA,USA","institution_ids":["https://openalex.org/I4210131230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042985821","display_name":"Ruud J. G. van Sloun","orcid":"https://orcid.org/0000-0003-2845-0495"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ruud J.G. Van Sloun","raw_affiliation_strings":["Eindhoven University of Technology,Dept. of Electrical Engineering,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Dept. of Electrical Engineering,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087034940"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":1.4886,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82412749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.8026999831199646,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.8026999831199646,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6267169117927551},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5337152481079102},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5187906622886658},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18125659227371216},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08935979008674622}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6267169117927551},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5337152481079102},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5187906622886658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18125659227371216},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08935979008674622},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889752","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2013035813","https://openalex.org/W2968947847","https://openalex.org/W3013692475","https://openalex.org/W3043211640","https://openalex.org/W4214612132","https://openalex.org/W4225287831","https://openalex.org/W4312265458","https://openalex.org/W4312293341","https://openalex.org/W4312933868","https://openalex.org/W4386076323","https://openalex.org/W4387225014","https://openalex.org/W4391594085","https://openalex.org/W4392902839","https://openalex.org/W4401597913","https://openalex.org/W6628877408","https://openalex.org/W6784805307","https://openalex.org/W6786375611","https://openalex.org/W6788328477","https://openalex.org/W6796588791","https://openalex.org/W6809884996","https://openalex.org/W6810793953","https://openalex.org/W6842648252","https://openalex.org/W6844364769","https://openalex.org/W6845281891","https://openalex.org/W6852245216","https://openalex.org/W6869804323"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Diffusion":[0],"models":[1,26,57,183],"have":[2],"quickly":[3],"risen":[4],"in":[5,70,167,184],"popularity":[6],"for":[7,33,110,178],"their":[8],"ability":[9],"to":[10,61,165],"model":[11,85,160],"complex":[12],"distributions":[13],"and":[14,31,130,186],"perform":[15],"effective":[16],"posterior":[17,68,149],"sampling.":[18,150],"Unfortunately,":[19],"the":[20,43,58,63,94,105,114,135,155,162],"iterative":[21],"nature":[22],"of":[23,49,65,107,116,123,157,181],"these":[24],"generative":[25],"makes":[27],"them":[28],"computationally":[29],"expensive":[30],"unsuitable":[32],"real-time":[34,148,179,190],"sequential":[35,66],"inverse":[36],"problems":[37],"such":[38],"as":[39,138],"ultrasound":[40,128],"imaging.":[41],"Considering":[42],"strong":[44],"temporal":[45],"structure":[46],"across":[47],"sequences":[48],"frames,":[50],"we":[51,91,152],"propose":[52],"a":[53,79,99,120,139,158],"novel":[54],"approach":[55,118],"that":[56,132,154],"transition":[59,84,159],"dynamics":[60],"improve":[62],"efficiency":[64],"diffusion":[67,89,96,141,182],"sampling":[69],"conditional":[71],"image":[72],"synthesis.":[73],"Through":[74],"modeling":[75],"sequence":[76],"data":[77],"using":[78],"video":[80],"vision":[81],"transformer":[82],"(ViViT)":[83],"based":[86],"on":[87,119],"previous":[88],"outputs,":[90],"can":[92],"initialize":[93],"reverse":[95],"trajectory":[97,142],"at":[98],"lower":[100],"noise":[101],"scale,":[102],"greatly":[103],"reducing":[104],"number":[106],"iterations":[108],"required":[109],"convergence.":[111],"We":[112],"demonstrate":[113],"effectiveness":[115],"our":[117],"real-world":[121],"dataset":[122],"high":[124],"frame":[125],"rate":[126],"cardiac":[127],"images":[129],"show":[131,153],"it":[133],"achieves":[134],"same":[136],"performance":[137],"full":[140],"while":[143],"accelerating":[144],"inference":[145],"25\u00d7,":[146],"enabling":[147],"Furthermore,":[151],"addition":[156],"improves":[161],"PSNR":[163],"up":[164,175],"8%":[166],"cases":[168],"with":[169],"severe":[170],"motion.":[171],"Our":[172],"method":[173],"opens":[174],"new":[176],"possibilities":[177],"applications":[180],"imaging":[185],"other":[187],"domains":[188],"requiring":[189],"inference.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}