{"id":"https://openalex.org/W4407169544","doi":"https://doi.org/10.1109/tpami.2025.3538896","title":"Invertible Diffusion Models for Compressed Sensing","display_name":"Invertible Diffusion Models for Compressed Sensing","publication_year":2025,"publication_date":"2025-02-05","ids":{"openalex":"https://openalex.org/W4407169544","doi":"https://doi.org/10.1109/tpami.2025.3538896","pmid":"https://pubmed.ncbi.nlm.nih.gov/40031773"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2025.3538896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3538896","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100427384","display_name":"Bin Chen","orcid":"https://orcid.org/0000-0002-9056-3717"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Chen","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9056-3717","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389517","display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0000-0002-1417-7240"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Zhang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1417-7240","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102936691","display_name":"Weiqi Li","orcid":"https://orcid.org/0000-0002-8234-5533"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Li","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8234-5533","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101993842","display_name":"Chen Zhao","orcid":"https://orcid.org/0000-0003-4993-5416"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Chen Zhao","raw_affiliation_strings":["King Abdullah University of Science and Technology, Thuwal, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-4993-5416","affiliations":[{"raw_affiliation_string":"King Abdullah University of Science and Technology, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112281651","display_name":"Jiwen Yu","orcid":"https://orcid.org/0000-0001-8577-183X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwen Yu","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100298354","display_name":"Shijie Zhao","orcid":"https://orcid.org/0000-0002-8466-8061"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shijie Zhao","raw_affiliation_strings":["ByteDance Inc, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-8466-8061","affiliations":[{"raw_affiliation_string":"ByteDance Inc, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332984","display_name":"Jie Chen","orcid":"https://orcid.org/0000-0002-9765-4523"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Chen","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9765-4523","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409856","display_name":"Jian Zhang","orcid":"https://orcid.org/0000-0001-5486-3125"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhang","raw_affiliation_strings":["School of Electronic and Computer Engineering, Peking University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-5486-3125","affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Peking University, Shenzhen, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.731,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.98567471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"47","issue":"5","first_page":"3992","last_page":"4006"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9785000085830688,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9621999859809875,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6115754246711731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.579576313495636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5409548878669739},{"id":"https://openalex.org/keywords/invertible-matrix","display_name":"Invertible matrix","score":0.5146799683570862},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4765763282775879},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44716015458106995},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38364943861961365},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.364524781703949},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29122018814086914},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10087555646896362}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6115754246711731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579576313495636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5409548878669739},{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.5146799683570862},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4765763282775879},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44716015458106995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38364943861961365},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.364524781703949},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29122018814086914},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10087555646896362},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2025.3538896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2025.3538896","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:40031773","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40031773","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G822965519","display_name":null,"funder_award_id":"62372016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":110,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1901129140","https://openalex.org/W1930824406","https://openalex.org/W2018990310","https://openalex.org/W2042430763","https://openalex.org/W2045737896","https://openalex.org/W2050834445","https://openalex.org/W2101675075","https://openalex.org/W2108598243","https://openalex.org/W2110158442","https://openalex.org/W2121927366","https://openalex.org/W2122548617","https://openalex.org/W2129812098","https://openalex.org/W2133665775","https://openalex.org/W2149400409","https://openalex.org/W2159563318","https://openalex.org/W2194775991","https://openalex.org/W2219727625","https://openalex.org/W2273561594","https://openalex.org/W2342838199","https://openalex.org/W2476548250","https://openalex.org/W2556068545","https://openalex.org/W2573726823","https://openalex.org/W2741137940","https://openalex.org/W2773335402","https://openalex.org/W2798559986","https://openalex.org/W2808122338","https://openalex.org/W2962785568","https://openalex.org/W2963081547","https://openalex.org/W2963774720","https://openalex.org/W2964251511","https://openalex.org/W2980149757","https://openalex.org/W3009991223","https://openalex.org/W3018622322","https://openalex.org/W3087291587","https://openalex.org/W3097925662","https://openalex.org/W3098593035","https://openalex.org/W3110516481","https://openalex.org/W3133902371","https://openalex.org/W3134510327","https://openalex.org/W3155072588","https://openalex.org/W3167568784","https://openalex.org/W3170881570","https://openalex.org/W3173217100","https://openalex.org/W3175700273","https://openalex.org/W3186573928","https://openalex.org/W3188921881","https://openalex.org/W3190499751","https://openalex.org/W3199716252","https://openalex.org/W3207346178","https://openalex.org/W3212516020","https://openalex.org/W4200596895","https://openalex.org/W4223631436","https://openalex.org/W4226277663","https://openalex.org/W4249336316","https://openalex.org/W4250955649","https://openalex.org/W4252713891","https://openalex.org/W4292230951","https://openalex.org/W4307842584","https://openalex.org/W4312271162","https://openalex.org/W4312380264","https://openalex.org/W4312756164","https://openalex.org/W4312777001","https://openalex.org/W4312908055","https://openalex.org/W4312933868","https://openalex.org/W4313524853","https://openalex.org/W4313526215","https://openalex.org/W4376607984","https://openalex.org/W4383105732","https://openalex.org/W4385245566","https://openalex.org/W4385804996","https://openalex.org/W4386066453","https://openalex.org/W4386071863","https://openalex.org/W4386075858","https://openalex.org/W4386076273","https://openalex.org/W4387968202","https://openalex.org/W4389611014","https://openalex.org/W4390872583","https://openalex.org/W4390874530","https://openalex.org/W4392917620","https://openalex.org/W4396680657","https://openalex.org/W4400524387","https://openalex.org/W4401541253","https://openalex.org/W4402713113","https://openalex.org/W4402754171","https://openalex.org/W4404533930","https://openalex.org/W4404610013","https://openalex.org/W6631190155","https://openalex.org/W6741529945","https://openalex.org/W6752910514","https://openalex.org/W6754589026","https://openalex.org/W6758706709","https://openalex.org/W6765551221","https://openalex.org/W6765779288","https://openalex.org/W6766978945","https://openalex.org/W6779823529","https://openalex.org/W6783713337","https://openalex.org/W6786375611","https://openalex.org/W6788990321","https://openalex.org/W6795288823","https://openalex.org/W6797080381","https://openalex.org/W6809940947","https://openalex.org/W6838305376","https://openalex.org/W6838883754","https://openalex.org/W6839052650","https://openalex.org/W6844364769","https://openalex.org/W6846007759","https://openalex.org/W6847118160","https://openalex.org/W6853756358","https://openalex.org/W6857146211"],"related_works":["https://openalex.org/W4251428025","https://openalex.org/W2784467519","https://openalex.org/W4289867043","https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2366459771","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1973736094","https://openalex.org/W1881631164"],"abstract_inverted_index":{"While":[0],"deep":[1],"neural":[2],"networks":[3,177],"(NNs)":[4],"significantly":[5],"advance":[6],"image":[7,39],"compressed":[8],"sensing":[9],"(CS)":[10],"by":[11,178],"improving":[12],"reconstruction":[13,78],"quality,":[14],"the":[15,94,187],"necessity":[16],"of":[17,97,156],"training":[18,142],"current":[19],"CS":[20,67,90,176],"NNs":[21],"from":[22,89],"scratch":[23],"constrains":[24],"their":[25],"effectiveness":[26],"and":[27,46,80,122,201],"hampers":[28],"rapid":[29],"deployment.":[30],"Although":[31],"recent":[32,188],"methods":[33],"utilize":[34],"pre-trained":[35],"diffusion":[36,73],"models":[37],"for":[38],"reconstruction,":[40],"they":[41],"struggle":[42],"with":[43],"slow":[44],"inference":[45],"restricted":[47],"adaptability":[48],"to":[49,84,115,143,146,159,165,180,186,196],"CS.":[50],"To":[51,102],"tackle":[52],"these":[53],"challenges,":[54],"this":[55],"paper":[56],"proposes":[57],"Invertible":[58],"Diffusion":[59],"Models":[60],"(IDM),":[61],"a":[62,71,77,110,134,154],"novel":[63,111],"efficient,":[64],"end-to-end":[65,83,106],"diffusion-based":[66,189],"method.":[68],"IDM":[69,172,193],"repurposes":[70],"large-scale":[72],"sampling":[74,120],"process":[75,121],"as":[76],"model,":[79],"fine-tunes":[81],"it":[82],"recover":[85],"original":[86],"images":[87],"directly":[88],"measurements,":[91],"moving":[92],"beyond":[93],"traditional":[95],"paradigm":[96],"one-step":[98],"noise":[99,124,163],"estimation":[100,125],"learning.":[101],"enable":[103],"such":[104],"memory-intensive":[105],"fine-tuning,":[107],"we":[108,152],"propose":[109],"two-level":[112],"invertible":[113,131],"design":[114],"transform":[116],"both":[117],"1)":[118],"multi-step":[119],"2)":[123],"U-Net":[126],"in":[127,183],"each":[128],"step":[129],"into":[130,162],"networks.":[132],"As":[133],"result,":[135],"most":[136],"intermediate":[137],"features":[138],"are":[139],"cleared":[140],"during":[141],"reduce":[144],"up":[145,179,195],"93.8%":[147],"GPU":[148],"memory.":[149],"In":[150],"addition,":[151],"develop":[153],"set":[155],"lightweight":[157],"modules":[158],"inject":[160],"measurements":[161],"estimator":[164],"further":[166],"facilitate":[167],"reconstruction.":[168],"Experiments":[169],"demonstrate":[170],"that":[171],"outperforms":[173],"existing":[174],"state-of-the-art":[175],"2.64":[181],"dB":[182,198],"PSNR.":[184],"Compared":[185],"approach":[190],"DDNM,":[191],"our":[192],"achieves":[194],"10.09":[197],"PSNR":[199],"gain":[200],"14.54":[202],"times":[203],"faster":[204],"inference.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}