{"id":"https://openalex.org/W4395043179","doi":"https://doi.org/10.1111/coin.12644","title":"Contour wavelet diffusion: A fast and high\u2010quality image generation model","display_name":"Contour wavelet diffusion: A fast and high\u2010quality image generation model","publication_year":2024,"publication_date":"2024-04-01","ids":{"openalex":"https://openalex.org/W4395043179","doi":"https://doi.org/10.1111/coin.12644"},"language":"en","primary_location":{"id":"doi:10.1111/coin.12644","is_oa":false,"landing_page_url":"https://doi.org/10.1111/coin.12644","pdf_url":null,"source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-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/A5015556239","display_name":"Yaoyao Ding","orcid":"https://orcid.org/0000-0002-9801-6080"},"institutions":[{"id":"https://openalex.org/I111950717","display_name":"Macau University of Science and Technology","ror":"https://ror.org/03jqs2n27","country_code":"MO","type":"education","lineage":["https://openalex.org/I111950717","https://openalex.org/I4391767947"]},{"id":"https://openalex.org/I4210138978","display_name":"Nanjing University of the Arts","ror":"https://ror.org/0457pxg28","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210138978"]}],"countries":["CN","MO"],"is_corresponding":false,"raw_author_name":"Yaoyao Ding","raw_affiliation_strings":["Faculty of Humanities and Arts Macau University of Science and Technology  Macau China","The Purple Academy of Culture &amp; Creativity Nanjing University of the Arts  Nanjing Jiangsu China","The Purple Academy of Culture & Creativity, Nanjing University of the Arts, Nanjing, Jiangsu, China","Faculty of Humanities and Arts, Macau University of Science and Technology, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Humanities and Arts Macau University of Science and Technology  Macau China","institution_ids":["https://openalex.org/I111950717"]},{"raw_affiliation_string":"The Purple Academy of Culture &amp; Creativity Nanjing University of the Arts  Nanjing Jiangsu China","institution_ids":["https://openalex.org/I4210138978"]},{"raw_affiliation_string":"The Purple Academy of Culture & Creativity, Nanjing University of the Arts, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I4210138978"]},{"raw_affiliation_string":"Faculty of Humanities and Arts, Macau University of Science and Technology, Macau, China","institution_ids":["https://openalex.org/I111950717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112586547","display_name":"Xiaoxi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxi Zhu","raw_affiliation_strings":["College of Art Jiangsu University  Zhenjiang Jiangsu China","College of Art, Jiangsu University, Zhenjiang, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Art Jiangsu University  Zhenjiang Jiangsu China","institution_ids":["https://openalex.org/I115592961"]},{"raw_affiliation_string":"College of Art, Jiangsu University, Zhenjiang, Jiangsu, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103003736","display_name":"Yuntao Zou","orcid":"https://orcid.org/0000-0002-8492-7684"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuntao Zou","raw_affiliation_strings":["School of Computer Science and Technology Huazhong University of Science and Technology  Wuhan China","School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-8492-7684","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology Huazhong University of Science and Technology  Wuhan China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5103003736"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":{"value":3450,"currency":"USD","value_usd":3450},"apc_paid":null,"fwci":0.6731,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67924597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"40","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9970999956130981,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9970999956130981,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.996999979019165,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7479844689369202},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6303989887237549},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.599514901638031},{"id":"https://openalex.org/keywords/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.5828753113746643},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5439680814743042},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5009152889251709},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45321837067604065},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.432400643825531},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.42635542154312134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4180879592895508},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35639724135398865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.330456018447876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18024399876594543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479844689369202},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6303989887237549},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.599514901638031},{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.5828753113746643},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5439680814743042},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5009152889251709},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45321837067604065},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.432400643825531},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.42635542154312134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4180879592895508},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35639724135398865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.330456018447876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18024399876594543},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1111/coin.12644","is_oa":false,"landing_page_url":"https://doi.org/10.1111/coin.12644","pdf_url":null,"source":{"id":"https://openalex.org/S56561474","display_name":"Computational Intelligence","issn_l":"0824-7935","issn":["0824-7935","1467-8640"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1603802649","https://openalex.org/W1991605728","https://openalex.org/W2106002835","https://openalex.org/W2120041316","https://openalex.org/W2158014263","https://openalex.org/W2161811007","https://openalex.org/W2167642257","https://openalex.org/W2423557781","https://openalex.org/W2884585870","https://openalex.org/W2948978827","https://openalex.org/W2964024144","https://openalex.org/W2985068832","https://openalex.org/W3035384201","https://openalex.org/W3035574324","https://openalex.org/W3041956526","https://openalex.org/W3105013723","https://openalex.org/W3111265567","https://openalex.org/W3126886726","https://openalex.org/W3145752657","https://openalex.org/W3196163807","https://openalex.org/W4293762926","https://openalex.org/W4301409532","https://openalex.org/W4320013936","https://openalex.org/W4324141948","https://openalex.org/W4360884927","https://openalex.org/W4388430691"],"related_works":["https://openalex.org/W2393022482","https://openalex.org/W2377346130","https://openalex.org/W2361092061","https://openalex.org/W2319775965","https://openalex.org/W2357314690","https://openalex.org/W2191886813","https://openalex.org/W1986317414","https://openalex.org/W2795976185","https://openalex.org/W192619126","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Abstract":[0],"Diffusion":[1,71],"models":[2,14,40],"can":[3,121,176],"generate":[4],"high\u2010quality":[5],"images":[6,120],"and":[7,20,25,77,91,98,181],"have":[8,22,41],"attracted":[9],"increasing":[10],"attention.":[11],"However,":[12],"diffusion":[13,39,186],"adopt":[15],"a":[16,59,127,153],"progressive":[17],"optimization":[18],"process":[19],"often":[21],"long":[23],"training":[24,44,76,180],"inference":[26,78,182],"time,":[27],"which":[28],"limits":[29],"their":[30],"application":[31],"in":[32,49],"realistic":[33],"scenarios.":[34],"Recently,":[35],"some":[36],"latent":[37],"space":[38],"partially":[42],"accelerated":[43],"speed":[45,162,183],"by":[46,101],"using":[47],"parameters":[48],"the":[50,68,75,83,95,109,116,134,145,160,164,179,185,190],"feature":[51],"space,":[52],"but":[53],"additional":[54],"network":[55],"structures":[56],"still":[57],"require":[58],"large":[60],"amount":[61],"of":[62,113,118,147,163,184,192],"unnecessary":[63],"computation.":[64],"Therefore,":[65],"we":[66,81,125,151],"propose":[67,126,152],"Contour":[69],"Wavelet":[70],"method":[72,175],"to":[73,87,108,136,157],"accelerate":[74,178],"speed.":[79],"First,":[80],"introduce":[82],"contour":[84],"wavelet":[85,114],"transform":[86],"extract":[88],"anisotropic":[89],"low\u2010frequency":[90],"high\u2010frequency":[92,141],"components":[93],"from":[94],"input":[96],"image,":[97],"achieve":[99],"acceleration":[100],"processing":[102],"these":[103],"down\u2010sampling":[104],"components.":[105],"Meanwhile,":[106],"due":[107],"good":[110],"reconstructive":[111],"properties":[112],"transforms,":[115],"quality":[117,146,191],"generated":[119,193],"be":[122],"maintained.":[123],"Second,":[124],"Batch\u2010normalized":[128],"stochastic":[129],"attention":[130],"module":[131],"that":[132,173],"enables":[133],"model":[135,187],"effectively":[137],"focus":[138],"on":[139,168],"important":[140],"information,":[142],"further":[143,158],"improving":[144],"image":[148],"generation.":[149],"Finally,":[150],"balanced":[154],"loss":[155],"function":[156],"improve":[159],"convergence":[161],"model.":[165],"Experimental":[166],"results":[167],"several":[169],"public":[170],"datasets":[171],"show":[172],"our":[174],"significantly":[177],"while":[188],"ensuring":[189],"images.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
