{"id":"https://openalex.org/W4415961929","doi":"https://doi.org/10.48550/arxiv.2510.17136","title":"In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models","display_name":"In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models","publication_year":2025,"publication_date":"2025-10-20","ids":{"openalex":"https://openalex.org/W4415961929","doi":"https://doi.org/10.48550/arxiv.2510.17136"},"language":null,"primary_location":{"id":"pmh:oai:arXiv.org:2510.17136","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.17136","pdf_url":"https://arxiv.org/pdf/2510.17136","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.17136","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061946378","display_name":"Elton Gu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gu, Enhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Hou, Haolin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hou, Haolin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061946378"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.21119999885559082,"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"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.21119999885559082,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.1949000060558319,"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.179299995303154,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5565000176429749},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.527400016784668},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.45719999074935913},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4147999882698059},{"id":"https://openalex.org/keywords/cognitive-reframing","display_name":"Cognitive reframing","score":0.38929998874664307},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.335999995470047}],"concepts":[{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5565000176429749},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5519000291824341},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.527400016784668},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.45719999074935913},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C187029079","wikidata":"https://www.wikidata.org/wiki/Q958679","display_name":"Cognitive reframing","level":2,"score":0.38929998874664307},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.335999995470047},{"id":"https://openalex.org/C2781020372","wikidata":"https://www.wikidata.org/wiki/Q533093","display_name":"On the fly","level":2,"score":0.3334999978542328},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33320000767707825},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3319000005722046},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C121040770","wikidata":"https://www.wikidata.org/wiki/Q215675","display_name":"Quantum entanglement","level":3,"score":0.3046000003814697},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.29249998927116394},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2563999891281128}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2510.17136","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.17136","pdf_url":"https://arxiv.org/pdf/2510.17136","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2510.17136","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.17136","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.17136","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.17136","pdf_url":"https://arxiv.org/pdf/2510.17136","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4415961929.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,16],"generation":[1],"of":[2,29,36,63,109,136],"high-quality,":[3],"diverse,":[4],"and":[5,24],"prompt-aligned":[6],"images":[7],"is":[8,118],"a":[9,48,51,76,100,107,125],"central":[10],"goal":[11],"in":[12],"image-generating":[13],"diffusion":[14],"models.":[15,143],"popular":[17],"classifier-free":[18],"guidance":[19,80,105],"(CFG)":[20],"approach":[21,90,117],"improves":[22],"quality":[23],"alignment":[25],"at":[26],"the":[27,60,82,97,134],"cost":[28],"reduced":[30],"variation,":[31],"creating":[32],"an":[33,65,93],"inherent":[34],"entanglement":[35],"these":[37,44],"effects.":[38],"Recent":[39],"work":[40],"has":[41],"successfully":[42],"disentangled":[43],"properties":[45],"by":[46,72],"guiding":[47],"model":[49,83],"with":[50],"separately":[52],"trained,":[53],"inferior":[54,94],"counterpart;":[55],"however,":[56],"this":[57,70,115],"solution":[58],"introduces":[59],"considerable":[61],"overhead":[62],"requiring":[64],"auxiliary":[66,87],"model.":[67],"We":[68,112],"challenge":[69],"prerequisite":[71],"introducing":[73],"In-situ":[74],"Autoguidance,":[75],"method":[77],"that":[78,114,133],"elicits":[79],"from":[81],"itself":[84],"without":[85,141],"any":[86],"components.":[88],"Our":[89],"dynamically":[91],"generates":[92],"prediction":[95],"on":[96],"fly":[98],"using":[99],"stochastic":[101],"forward":[102],"pass,":[103],"reframing":[104],"as":[106],"form":[108],"inference-time":[110],"self-correction.":[111],"demonstrate":[113],"zero-cost":[116],"not":[119],"only":[120],"viable":[121],"but":[122],"also":[123],"establishes":[124],"powerful":[126],"new":[127],"baseline":[128],"for":[129],"cost-efficient":[130],"guidance,":[131],"proving":[132],"benefits":[135],"self-guidance":[137],"can":[138],"be":[139],"achieved":[140],"external":[142]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-22T00:00:00"}