{"id":"https://openalex.org/W4406204745","doi":null,"title":"Foundations and Advanced Techniques in Diffusion Models for Efficient and Scalable Generative Systems","display_name":"Foundations and Advanced Techniques in Diffusion Models for Efficient and Scalable Generative Systems","publication_year":2024,"publication_date":"2024-12-26","ids":{"openalex":"https://openalex.org/W4406204745"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-04855991v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04855991","pdf_url":"https://hal.science/hal-04855991v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2024","raw_type":"info:eu-repo/semantics/preprint"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04855991v1/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115821008","display_name":"Noriko Hachiro","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hachiro, Noriko","raw_affiliation_strings":["Department of Computer Science, The University of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115821009","display_name":"Yukiko Ayumi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ayumi, Yukiko","raw_affiliation_strings":["Graduate School of Engineering, The University of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109361756","display_name":"Sakura Suzuki","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Suzuki, Sakura","raw_affiliation_strings":["Graduate School of Engineering, The University of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115079587","display_name":"Zoe Brian","orcid":"https://orcid.org/0009-0009-5837-5837","observed_orcids":["https://orcid.org/0009-0009-5837-5837"]},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Brian, Zoe","raw_affiliation_strings":["Graduate School of Engineering, The University of Tokyo (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo (Japan)","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74801974"],"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":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9940999746322632,"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":0.9940999746322632,"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":0.00139999995008111,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.00139999995008111,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/diffusion-models","display_name":"diffusion models","score":1.0},{"id":"https://openalex.org/keywords/generative-models","display_name":"generative models","score":0.8539999723434448},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"noise reduction","score":0.7670000195503235},{"id":"https://openalex.org/keywords/noise-scheduling","display_name":"noise scheduling","score":0.8880000114440918},{"id":"https://openalex.org/keywords/efficient-sampling","display_name":"efficient sampling","score":0.47099998593330383},{"id":"https://openalex.org/keywords/model-architecture-design","display_name":"model architecture design","score":0.6510000228881836},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.7760000228881836},{"id":"https://openalex.org/keywords/scalable-inference","display_name":"scalable inference","score":0.5170000195503235},{"id":"https://openalex.org/keywords/image-generation","display_name":"image generation","score":0.8560000061988831},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"natural language generation","score":0.7179999947547913},{"id":"https://openalex.org/keywords/scientific-simulation","display_name":"scientific simulation","score":0.7879999876022339},{"id":"https://openalex.org/keywords/medical-applications","display_name":"medical applications","score":0.8240000009536743},{"id":"https://openalex.org/keywords/gaming-applications","display_name":"gaming applications","score":0.6460000276565552}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7036614418029785},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6834499835968018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6019324660301208},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5125560760498047},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3899076581001282},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3574266731739044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29478803277015686},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13200941681861877},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09456804394721985},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07715615630149841},{"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":"pmh:oai:HAL:hal-04855991v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04855991","pdf_url":"https://hal.science/hal-04855991v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2024","raw_type":"info:eu-repo/semantics/preprint"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04855991v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-04855991","pdf_url":"https://hal.science/hal-04855991v1/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2024","raw_type":"info:eu-repo/semantics/preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406204745.pdf","grobid_xml":"https://content.openalex.org/works/W4406204745.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1622449098","https://openalex.org/W2994673210","https://openalex.org/W3168160162","https://openalex.org/W3209374680","https://openalex.org/W4226484461","https://openalex.org/W4281725242","https://openalex.org/W4319166707","https://openalex.org/W4383987918","https://openalex.org/W4385645323","https://openalex.org/W4385681736","https://openalex.org/W4386566659","https://openalex.org/W4386655575","https://openalex.org/W4387294596","https://openalex.org/W4389500833","https://openalex.org/W4389523832","https://openalex.org/W4390690464","https://openalex.org/W4390723197","https://openalex.org/W4393212018","https://openalex.org/W4395113676","https://openalex.org/W4396605054","https://openalex.org/W4399062099","https://openalex.org/W4402727536","https://openalex.org/W4402727885","https://openalex.org/W4403920344","https://openalex.org/W4404691761","https://openalex.org/W4404965447","https://openalex.org/W4408858386","https://openalex.org/W4409367031","https://openalex.org/W4411120381","https://openalex.org/W4415796267","https://openalex.org/W4415798003","https://openalex.org/W7133183334"],"related_works":["https://openalex.org/W6902324683","https://openalex.org/W4414579597","https://openalex.org/W4407365223","https://openalex.org/W4387195417","https://openalex.org/W4407166800","https://openalex.org/W4407422878","https://openalex.org/W7133569732","https://openalex.org/W4406360429","https://openalex.org/W4410341278","https://openalex.org/W4392222441"],"abstract_inverted_index":{"Diffusion":[0],"models":[1,28,104],"have":[2],"emerged":[3],"as":[4,18,79],"a":[5,30,59],"powerful":[6],"class":[7],"of":[8,62,102],"generative":[9],"models,":[10,64],"achieving":[11],"remarkable":[12],"success":[13],"in":[14],"diverse":[15,40],"applications":[16],"such":[17,78],"image":[19],"synthesis,":[20],"natural":[21],"language":[22],"processing,":[23],"and":[24,39,54,86],"scientific":[25],"simulations.":[26],"These":[27],"leverage":[29],"systematic":[31],"denoising":[32],"process":[33],"to":[34,69],"generate":[35],"data,":[36],"offering":[37],"high-quality":[38],"outputs.":[41],"However,":[42],"their":[43,66],"practical":[44],"adoption":[45],"is":[46],"challenged":[47],"by":[48],"significant":[49],"computational":[50,94],"demands":[51],"during":[52],"training":[53],"inference.":[55],"This":[56],"survey":[57],"provides":[58],"comprehensive":[60],"overview":[61],"diffusion":[63,103],"from":[65],"foundational":[67],"principles":[68],"advanced":[70],"techniques":[71],"for":[72],"enhancing":[73],"efficiency.":[74],"We":[75],"explore":[76],"strategies":[77],"optimized":[80],"noise":[81],"scheduling,":[82],"architecture":[83],"design":[84],"improvements,":[85],"accelerated":[87],"sampling":[88],"methods,":[89],"which":[90],"collectively":[91],"address":[92],"the":[93,99],"bottlenecks.":[95],"Furthermore,":[96],"we":[97],"highlight":[98],"transformative":[100],"impact":[101],"across":[105],"domains,":[106],"including":[107],"healthcare,":[108],"gaming,":[109]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-01-10T00:00:00"}