{"id":"https://openalex.org/W4385825212","doi":"https://doi.org/10.1145/3583780.3614999","title":"Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models","display_name":"Optimal Linear Subspace Search: Learning to Construct Fast and High-Quality Schedulers for Diffusion Models","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4385825212","doi":"https://doi.org/10.1145/3583780.3614999"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3614999","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","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/A5040636331","display_name":"Zhongjie Duan","orcid":"https://orcid.org/0000-0002-5973-8240"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongjie Duan","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373451","display_name":"Chengyu Wang","orcid":"https://orcid.org/0000-0003-1010-9678"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengyu Wang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114734448","display_name":"Cen Chen","orcid":"https://orcid.org/0000-0003-0325-1705"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cen Chen","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054621636","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0002-7706-7081"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Alibaba Group, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089931216","display_name":"Weining Qian","orcid":"https://orcid.org/0000-0002-4132-8630"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weining Qian","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5040636331"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.5932,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68851368,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"463","last_page":"472"},"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":0.9983000159263611,"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":0.9983000159263611,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9919000267982483,"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/subspace-topology","display_name":"Subspace topology","score":0.7297287583351135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7261694669723511},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.5956701040267944},{"id":"https://openalex.org/keywords/diffusion-process","display_name":"Diffusion process","score":0.5431981682777405},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5397174954414368},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49698713421821594},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4657709300518036},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4274333715438843},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.389358788728714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3569578528404236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18777692317962646}],"concepts":[{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7297287583351135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7261694669723511},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.5956701040267944},{"id":"https://openalex.org/C68710425","wikidata":"https://www.wikidata.org/wiki/Q5275442","display_name":"Diffusion process","level":3,"score":0.5431981682777405},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5397174954414368},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49698713421821594},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4657709300518036},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4274333715438843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.389358788728714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3569578528404236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18777692317962646},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C3017618536","wikidata":"https://www.wikidata.org/wiki/Q304994","display_name":"Innovation diffusion","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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:10.1145/3583780.3614999","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3614999","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174558747","display_name":null,"funder_award_id":"Group","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8914462144","display_name":null,"funder_award_id":"62202170","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2065960630","https://openalex.org/W2097095666","https://openalex.org/W2124947938","https://openalex.org/W2183341477","https://openalex.org/W2566832195","https://openalex.org/W3036167779","https://openalex.org/W3096831136","https://openalex.org/W3135367836","https://openalex.org/W3155072588","https://openalex.org/W3158762648","https://openalex.org/W3162926177","https://openalex.org/W4281485151","https://openalex.org/W4281661987","https://openalex.org/W4281969232","https://openalex.org/W4283218507","https://openalex.org/W4306820534","https://openalex.org/W4312933868","https://openalex.org/W4386075639","https://openalex.org/W6779823529","https://openalex.org/W6795288823"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"In":[0,63],"recent":[1],"years,":[2],"diffusion":[3,35,81,183],"models":[4,36,82],"have":[5],"become":[6],"the":[7,14,27,32,51,76,80,88,94,102,111,132,138,143,148,171,199],"most":[8],"popular":[9],"and":[10,61,72,99],"powerful":[11],"methods":[12,45],"in":[13,23,147],"field":[15],"of":[16,34,75,79,91,96,110,142,167,173,193,201],"image":[17,217],"synthesis,":[18],"even":[19],"rivaling":[20],"human":[21],"artists":[22],"artistic":[24],"creativity.":[25],"However,":[26],"key":[28],"issue":[29],"currently":[30],"limiting":[31],"application":[33],"is":[37,156],"its":[38],"extremely":[39],"slow":[40],"generation":[41,52,77,104,133,145],"process.":[42],"Although":[43],"several":[44,97],"were":[46],"proposed":[47],"to":[48,158,213],"speed":[49],"up":[50],"process,":[53],"there":[54],"still":[55],"exists":[56],"a":[57,69,121,163,190,215],"trade-off":[58],"between":[59],"efficiency":[60],"quality.":[62],"this":[64],"paper,":[65],"we":[66,118,176,209],"first":[67],"provide":[68],"detailed":[70],"theoretical":[71],"empirical":[73],"analysis":[74],"process":[78,105,109,134,141,146],"based":[83],"on":[84,115,181],"schedulers.":[85],"We":[86],"transform":[87,101],"designing":[89],"problem":[90],"schedulers":[92],"into":[93,106],"determination":[95],"parameters,":[98],"further":[100],"accelerated":[103],"an":[107,205],"expansion":[108],"linear":[112,149],"subspace.":[113],"Based":[114],"these":[116],"analyses,":[117],"consequently":[119],"propose":[120],"novel":[122],"method":[123],"called":[124],"Optimal":[125],"Linear":[126],"Subspace":[127],"Search":[128],"(OLSS),":[129],"which":[130],"accelerates":[131],"by":[135,152,218],"searching":[136],"for":[137],"optimal":[139],"approximation":[140],"complete":[144],"subspaces":[150],"spanned":[151],"latent":[153],"variables.":[154],"OLSS":[155,195],"able":[157],"generate":[159,214],"high-quality":[160,216],"images":[161],"with":[162,189],"very":[164],"small":[165],"number":[166,192],"steps.":[168],"To":[169],"demonstrate":[170],"effectiveness":[172],"our":[174],"method,":[175],"conduct":[177],"extensive":[178],"comparative":[179],"experiments":[180],"open-source":[182],"models.":[184],"Experimental":[185],"results":[186],"show":[187],"that":[188],"given":[191],"steps,":[194],"can":[196],"significantly":[197],"improve":[198],"quality":[200],"generated":[202],"images.":[203],"Using":[204],"NVIDIA":[206],"A100":[207],"GPU,":[208],"make":[210],"it":[211],"possible":[212],"Stable":[219],"Diffusion":[220],"within":[221],"only":[222],"one":[223],"second":[224],"without":[225],"other":[226],"optimization":[227],"techniques.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-08-15T00:00:00"}
