{"id":"https://openalex.org/W7056905385","doi":null,"title":"An extensive survey on Diffusion models","display_name":"An extensive survey on Diffusion models","publication_year":2023,"publication_date":"2023-03-22","ids":{"openalex":"https://openalex.org/W7056905385"},"language":"en","primary_location":{"id":"pmh:oai:amslaurea.cib.unibo.it:28622","doi":null,"is_oa":true,"landing_page_url":"http://amslaurea.unibo.it/28622/1/AN%20EXTENSIVE%20SURVEY%20ON%20DIFFUSION%20MODELS.pdf","pdf_url":"http://amslaurea.unibo.it/28622/1/AN%20EXTENSIVE%20SURVEY%20ON%20DIFFUSION%20MODELS.pdf","source":{"id":"https://openalex.org/S4306400235","display_name":"AMS Degree Thesis (University of Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9360294","host_organization_name":"University of Bologna","host_organization_lineage":["https://openalex.org/I9360294"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/masterThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://amslaurea.unibo.it/28622/1/AN%20EXTENSIVE%20SURVEY%20ON%20DIFFUSION%20MODELS.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jangir, Kuldeep Kumar","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jangir, Kuldeep Kumar","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":true,"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":true,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9984999895095825,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0010000000474974513,"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/T11019","display_name":"Image Enhancement Techniques","score":0.00039999998989515007,"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/denoising-diffusion-probabilistic-models","display_name":"denoising diffusion probabilistic models","score":0.949999988079071},{"id":"https://openalex.org/keywords/image-denoising","display_name":"image denoising","score":0.9449999928474426},{"id":"https://openalex.org/keywords/generative-models","display_name":"generative models","score":0.8450000286102295},{"id":"https://openalex.org/keywords/image-restoration","display_name":"image restoration","score":0.8820000290870667},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.7039999961853027},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.9660000205039978},{"id":"https://openalex.org/keywords/image-quality-metrics","display_name":"image quality metrics","score":0.6370000243186951},{"id":"https://openalex.org/keywords/diagnostic-imaging","display_name":"diagnostic imaging","score":0.6050000190734863},{"id":"https://openalex.org/keywords/remote-sensing-imagery","display_name":"remote sensing images","score":0.7620000243186951}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.6980999708175659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687999963760376},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5392000079154968},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5353999733924866},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5116000175476074},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5065000057220459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49459999799728394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48969998955726624},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4634000062942505},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.4553000032901764},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4471000134944916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44530001282691956},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42570000886917114},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4140999913215637},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.38260000944137573},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3792000114917755},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.36309999227523804},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3515999913215637},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C293773","wikidata":"https://www.wikidata.org/wiki/Q7608015","display_name":"Step detection","level":3,"score":0.34060001373291016},{"id":"https://openalex.org/C101453961","wikidata":"https://www.wikidata.org/wiki/Q7048948","display_name":"Non-local means","level":4,"score":0.33079999685287476},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.33070001006126404},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3167000114917755},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31470000743865967},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C104317675","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Digital image processing","level":4,"score":0.2533000111579895},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:amslaurea.cib.unibo.it:28622","doi":null,"is_oa":true,"landing_page_url":"http://amslaurea.unibo.it/28622/1/AN%20EXTENSIVE%20SURVEY%20ON%20DIFFUSION%20MODELS.pdf","pdf_url":"http://amslaurea.unibo.it/28622/1/AN%20EXTENSIVE%20SURVEY%20ON%20DIFFUSION%20MODELS.pdf","source":{"id":"https://openalex.org/S4306400235","display_name":"AMS Degree Thesis (University of Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9360294","host_organization_name":"University of Bologna","host_organization_lineage":["https://openalex.org/I9360294"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/masterThesis"}],"best_oa_location":{"id":"pmh:oai:amslaurea.cib.unibo.it:28622","doi":null,"is_oa":true,"landing_page_url":"http://amslaurea.unibo.it/28622/1/AN%20EXTENSIVE%20SURVEY%20ON%20DIFFUSION%20MODELS.pdf","pdf_url":"http://amslaurea.unibo.it/28622/1/AN%20EXTENSIVE%20SURVEY%20ON%20DIFFUSION%20MODELS.pdf","source":{"id":"https://openalex.org/S4306400235","display_name":"AMS Degree Thesis (University of Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I9360294","host_organization_name":"University of Bologna","host_organization_lineage":["https://openalex.org/I9360294"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/masterThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7056905385.pdf","grobid_xml":"https://content.openalex.org/works/W7056905385.grobid-xml"},"referenced_works_count":130,"referenced_works":["https://openalex.org/W1593775104","https://openalex.org/W1596457715","https://openalex.org/W1909320841","https://openalex.org/W2125838338","https://openalex.org/W2130479394","https://openalex.org/W2173027866","https://openalex.org/W2353278259","https://openalex.org/W2467604901","https://openalex.org/W2552465644","https://openalex.org/W2606780347","https://openalex.org/W2624431344","https://openalex.org/W2755092149","https://openalex.org/W2765811365","https://openalex.org/W2786722833","https://openalex.org/W2808746463","https://openalex.org/W2884430236","https://openalex.org/W2922508644","https://openalex.org/W2946709941","https://openalex.org/W2948978827","https://openalex.org/W2959300817","https://openalex.org/W2963090522","https://openalex.org/W2970403389","https://openalex.org/W2980862479","https://openalex.org/W2994860160","https://openalex.org/W3005921148","https://openalex.org/W3008180535","https://openalex.org/W3012026596","https://openalex.org/W3030163527","https://openalex.org/W3035166812","https://openalex.org/W3035384201","https://openalex.org/W3036167779","https://openalex.org/W3036264357","https://openalex.org/W3036362011","https://openalex.org/W3037078588","https://openalex.org/W3082563516","https://openalex.org/W3085640138","https://openalex.org/W3087665158","https://openalex.org/W3092442149","https://openalex.org/W3110257065","https://openalex.org/W3111551570","https://openalex.org/W3112951692","https://openalex.org/W3119800657","https://openalex.org/W3122315731","https://openalex.org/W3122887982","https://openalex.org/W3162673269","https://openalex.org/W3162926177","https://openalex.org/W3162926955","https://openalex.org/W3167139504","https://openalex.org/W3167749434","https://openalex.org/W3168160162","https://openalex.org/W3168452307","https://openalex.org/W3168470634","https://openalex.org/W3168925038","https://openalex.org/W3169386841","https://openalex.org/W3175528029","https://openalex.org/W3177150392","https://openalex.org/W3177828909","https://openalex.org/W3180196270","https://openalex.org/W3181975995","https://openalex.org/W3183474792","https://openalex.org/W3187134297","https://openalex.org/W3190152617","https://openalex.org/W3204794179","https://openalex.org/W3205399766","https://openalex.org/W3207146706","https://openalex.org/W3207575373","https://openalex.org/W3209374680","https://openalex.org/W3213663242","https://openalex.org/W3216352822","https://openalex.org/W3216759837","https://openalex.org/W3217132494","https://openalex.org/W4200632170","https://openalex.org/W4200633475","https://openalex.org/W4200635046","https://openalex.org/W4221139906","https://openalex.org/W4221161486","https://openalex.org/W4224308101","https://openalex.org/W4226014430","https://openalex.org/W4226020576","https://openalex.org/W4226021997","https://openalex.org/W4226052194","https://openalex.org/W4226057201","https://openalex.org/W4226070784","https://openalex.org/W4226134183","https://openalex.org/W4226148126","https://openalex.org/W4226269326","https://openalex.org/W4226376398","https://openalex.org/W4281485151","https://openalex.org/W4281626548","https://openalex.org/W4281702815","https://openalex.org/W4281725242","https://openalex.org/W4281752007","https://openalex.org/W4281847696","https://openalex.org/W4283070712","https://openalex.org/W4283314094","https://openalex.org/W4283715304","https://openalex.org/W4286233271","https://openalex.org/W4287029626","https://openalex.org/W4292122263","https://openalex.org/W4292753694","https://openalex.org/W4296068981","https://openalex.org/W4297841480","https://openalex.org/W4298289240","https://openalex.org/W4300425011","https://openalex.org/W4304099317","https://openalex.org/W4306802991","https://openalex.org/W4308555638","https://openalex.org/W4310285362","https://openalex.org/W4311397562","https://openalex.org/W4312282373","https://openalex.org/W4312388283","https://openalex.org/W4312497550","https://openalex.org/W4312933868","https://openalex.org/W4320459320","https://openalex.org/W4321177576","https://openalex.org/W4379184928","https://openalex.org/W4386057725","https://openalex.org/W4388185854","https://openalex.org/W4388694364","https://openalex.org/W4390706293","https://openalex.org/W4394718179","https://openalex.org/W7133193464","https://openalex.org/W7133207874","https://openalex.org/W7133208181","https://openalex.org/W7133208595","https://openalex.org/W7133212955","https://openalex.org/W7133216366","https://openalex.org/W7133218413","https://openalex.org/W7133224658","https://openalex.org/W7133244780"],"related_works":["https://openalex.org/W7115883385","https://openalex.org/W4412828116","https://openalex.org/W4416099978","https://openalex.org/W4319452907","https://openalex.org/W4405810598","https://openalex.org/W7138958113","https://openalex.org/W7039380526","https://openalex.org/W4413069226","https://openalex.org/W4412430646","https://openalex.org/W7118193509"],"abstract_inverted_index":{"Denoising":[0],"Diffusion":[1],"models":[2,58,126],"are":[3,40,56],"gaining":[4],"growing":[5],"popularity":[6],"in":[7,127,160,187,209],"the":[8,19,24,29,81,93,103,107,110,121,143,155,175,219],"field":[9],"of":[10,43,83,109,123,142,151,179,223],"generative":[11,26],"modeling":[12],"for":[13,79,101,217],"several":[14],"reasons.":[15],"These":[16],"reasons":[17],"include":[18],"straightforward":[20],"and":[21,28,37,105,138,154,177,195,201,212,221],"stable":[22],"training,":[23],"outstanding":[25],"quality,":[27],"robust":[30],"probabilistic":[31],"foundation,":[32],"picture":[33],"synthesis,":[34],"video":[35],"production,":[36],"molecular":[38],"design":[39],"all":[41],"examples":[42],"what":[44],"this":[45,169],"tool":[46],"can":[47,203],"do.":[48],"This":[49],"thesis":[50,170],"explores":[51],"denoising":[52,84,111,124,161,180],"diffusion":[53,85,125,181],"models,":[54,86,104,182],"which":[55,183],"statistical":[57],"that":[59],"aim":[60],"to":[61,164,206],"remove":[62],"noise":[63],"from":[64],"an":[65],"image":[66,94,129,134,210],"while":[67],"preserving":[68],"its":[69],"important":[70,185],"features.":[71],"The":[72,140,198],"study":[73],"focuses":[74],"on":[75,148],"developing":[76],"new":[77],"techniques":[78,200],"improving":[80,218],"performance":[82,141],"such":[87,132],"as":[88,133],"incorporating":[89],"prior":[90],"information":[91],"about":[92],"structure,":[95],"designing":[96],"more":[97],"efficient":[98],"numerical":[99],"algorithms":[100,112,202],"solving":[102],"evaluating":[106],"effectiveness":[108],"using":[113],"various":[114,128],"quality":[115,220],"metrics.":[116],"\\nThe":[117],"research":[118],"also":[119],"investigates":[120],"application":[122,178],"processing":[130,211],"tasks,":[131],"restoration,":[135],"feature":[136],"extraction,":[137],"segmentation.":[139],"proposed":[144,199],"methods":[145],"is":[146],"evaluated":[147],"a":[149],"variety":[150],"benchmark":[152],"datasets,":[153],"results":[156],"demonstrate":[157],"significant":[158,207],"improvements":[159],"accuracy":[162],"compared":[163],"existing":[165],"state-of-the-art":[166],"techniques.":[167],"\\nOverall,":[168],"provides":[171],"valuable":[172],"insights":[173],"into":[174],"development":[176],"have":[184],"applications":[186],"many":[188],"fields,":[189],"including":[190],"medical":[191],"imaging,":[192],"computer":[193],"vision,":[194],"remote":[196],"sensing.":[197],"potentially":[204],"lead":[205],"advances":[208],"analysis,":[213],"with":[214],"practical":[215],"implications":[216],"reliability":[222],"image-based":[224],"applications.":[225]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}
