{"id":"https://openalex.org/W4414360015","doi":"https://doi.org/10.24963/ijcai.2025/199","title":"Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling","display_name":"Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360015","doi":"https://doi.org/10.24963/ijcai.2025/199"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/199","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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/A5113036515","display_name":"Rui Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Qin","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058019201","display_name":"Qirui Wang","orcid":"https://orcid.org/0009-0006-4014-5601"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijie Wang","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101448246","display_name":"Ming Sun","orcid":"https://orcid.org/0000-0002-1306-9889"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Sun","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104260473","display_name":"Haowei Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haowei Zhu","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027195747","display_name":"Chao Zhou","orcid":"https://orcid.org/0000-0001-6528-3257"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Zhou","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372378","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-6242-7726"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["School of Software, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113036515"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26021317,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1784","last_page":"1792"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9939000010490417,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9939000010490417,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9898999929428101,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6590999960899353},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6402999758720398},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5878000259399414},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5620999932289124},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.45879998803138733},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.37880000472068787},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3659000098705292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7206000089645386},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6590999960899353},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6402999758720398},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5878000259399414},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5620999932289124},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.45879998803138733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39419999718666077},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.37880000472068787},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3659000098705292},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36390000581741333},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.36239999532699585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34630000591278076},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3434000015258789},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3422999978065491},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.31850001215934753},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.27469998598098755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/199","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/199","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Diffusion":[0,127],"models":[1],"have":[2],"gained":[3],"attention":[4],"for":[5,34,123],"their":[6],"success":[7],"in":[8,16],"modeling":[9],"complex":[10],"distributions,":[11],"achieving":[12],"impressive":[13],"perceptual":[14],"quality":[15],"SR":[17,22,76,128],"tasks.":[18],"However,":[19],"existing":[20],"diffusion-based":[21,75],"methods":[23,186],"often":[24],"suffer":[25],"from":[26,95],"high":[27],"computational":[28],"costs,":[29],"requiring":[30],"numerous":[31],"iterative":[32],"steps":[33],"training":[35,132],"and":[36,44,50,71,84,100,147,181],"inference.":[37],"Existing":[38],"acceleration":[39,125,185],"techniques,":[40],"such":[41],"as":[42],"distillation":[43],"solver":[45],"optimization,":[46],"are":[47],"generally":[48],"task-agnostic":[49],"do":[51],"not":[52],"fully":[53],"leverage":[54],"the":[55,69,82,118,124,183,190],"specific":[56],"characteristics":[57],"of":[58,74,87,126,192],"low-level":[59],"tasks":[60],"like":[61],"super-resolution":[62],"(SR).":[63],"In":[64],"this":[65],"study,":[66],"we":[67,116],"analyze":[68],"frequency-":[70],"spatial-domain":[72],"properties":[73],"methods,":[77],"revealing":[78],"key":[79],"insights":[80],"into":[81],"temporal":[83],"spatial":[85],"dependencies":[86],"high-frequency":[88,92],"signal":[89],"recovery.":[90],"Specifically,":[91],"details":[93],"benefit":[94],"concentrated":[96],"optimization":[97],"during":[98],"early":[99],"late":[101],"diffusion":[102],"iterations,":[103,175],"while":[104],"spatially":[105],"textured":[106],"regions":[107],"demand":[108],"adaptive":[109],"denoising":[110],"strategies.":[111],"Building":[112],"on":[113,157],"these":[114],"observations,":[115],"propose":[117],"Time-Spatial-aware":[119],"Sampling":[120,138,150],"strategy":[121],"(TSS)":[122],"without":[129],"any":[130],"extra":[131],"cost.":[133],"TSS":[134,167],"combines":[135],"Time":[136],"Dynamic":[137,149],"(TDS),":[139],"which":[140,152],"allocates":[141],"more":[142],"iterations":[143],"to":[144],"refining":[145],"textures,":[146],"Spatial":[148],"(SDS),":[151],"dynamically":[153],"adjusts":[154],"strategies":[155],"based":[156],"image":[158],"content.":[159],"Extensive":[160],"evaluations":[161],"across":[162],"multiple":[163],"benchmarks":[164],"demonstrate":[165],"that":[166],"achieves":[168],"state-of-the-art":[169],"(SOTA)":[170],"performance":[171],"with":[172,187],"significantly":[173],"fewer":[174],"improving":[176],"MUSIQ":[177],"scores":[178],"by":[179],"0.2~3.0":[180],"outperforming":[182],"current":[184],"only":[188],"half":[189],"number":[191],"steps.":[193]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
