{"id":"https://openalex.org/W4403707278","doi":"https://doi.org/10.48550/arxiv.2409.11355","title":"Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think","display_name":"Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think","publication_year":2024,"publication_date":"2024-09-17","ids":{"openalex":"https://openalex.org/W4403707278","doi":"https://doi.org/10.48550/arxiv.2409.11355"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2409.11355","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.11355","pdf_url":"https://arxiv.org/pdf/2409.11355","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":"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/2409.11355","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Garcia, Gonzalo Martin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Garcia, Gonzalo Martin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Knaebel, Karim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Knaebel, Karim","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103544331","display_name":"Christian Schmidt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schmidt, Christian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061463972","display_name":"Daan de Geus","orcid":"https://orcid.org/0000-0003-0559-5341"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"de Geus, Daan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071563379","display_name":"Alexander Hermans","orcid":"https://orcid.org/0000-0003-2127-0782"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hermans, Alexander","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5071006649","display_name":"Bastian Leibe","orcid":"https://orcid.org/0000-0003-4225-0051"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leibe, Bastian","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.6761999726295471,"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"}},"topics":[{"id":"https://openalex.org/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.6761999726295471,"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/image","display_name":"Image (mathematics)","score":0.6331272125244141},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.5314867496490479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5078926682472229},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3582090139389038},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.34259557723999023},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3354343771934509},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3031674027442932},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1413746476173401},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.11416313052177429}],"concepts":[{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6331272125244141},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5314867496490479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5078926682472229},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3582090139389038},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.34259557723999023},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3354343771934509},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3031674027442932},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1413746476173401},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.11416313052177429}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2409.11355","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.11355","pdf_url":"https://arxiv.org/pdf/2409.11355","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2409.11355","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2409.11355","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:2409.11355","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2409.11355","pdf_url":"https://arxiv.org/pdf/2409.11355","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320324232","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403707278.pdf","grobid_xml":"https://content.openalex.org/works/W4403707278.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1502198272","https://openalex.org/W2017540542","https://openalex.org/W2006758266","https://openalex.org/W2066504725","https://openalex.org/W1527813328","https://openalex.org/W2073254488","https://openalex.org/W2104764082","https://openalex.org/W2070530935","https://openalex.org/W1549310245"],"abstract_inverted_index":{"Recent":[0],"work":[1],"showed":[2],"that":[3,51,64,111,128],"large":[4],"diffusion":[5],"models":[6,120],"can":[7],"be":[8],"reused":[9],"as":[10,20],"highly":[11],"precise":[12],"monocular":[13],"depth":[14,18,116,146],"estimators":[15],"by":[16,57],"casting":[17],"estimation":[19,119,149],"an":[21],"image-conditional":[22],"image":[23],"generation":[24],"task.":[25],"While":[26],"the":[27,52,61,76,100,156],"proposed":[28],"model":[29,72,102,110],"achieved":[30],"state-of-the-art":[31,144],"results,":[32],"high":[33],"computational":[34],"demands":[35],"due":[36],"to":[37,75,142],"multi-step":[38],"inference":[39,62],"limited":[40],"its":[41],"use":[42],"in":[43,60],"many":[44],"scenarios.":[45],"In":[46],"this":[47,129],"paper,":[48],"we":[49,93],"show":[50],"perceived":[53],"inefficiency":[54],"was":[55],"caused":[56],"a":[58,108],"flaw":[59],"pipeline":[63],"has":[65],"so":[66],"far":[67],"gone":[68],"unnoticed.":[69],"The":[70],"fixed":[71],"performs":[73],"comparably":[74],"best":[77],"previously":[78],"reported":[79],"configuration":[80],"while":[81],"being":[82],"more":[83],"than":[84],"200$\\times$":[85],"faster.":[86],"To":[87],"optimize":[88],"for":[89],"downstream":[90],"task":[91],"performance,":[92],"perform":[94],"end-to-end":[95],"fine-tuning":[96,130],"on":[97,121,135],"top":[98],"of":[99,155],"single-step":[101],"with":[103],"task-specific":[104],"losses":[105],"and":[106,117,138,147],"get":[107],"deterministic":[109],"outperforms":[112],"all":[113],"other":[114],"diffusion-based":[115,145],"normal":[118,148],"common":[122],"zero-shot":[123],"benchmarks.":[124],"We":[125],"surprisingly":[126],"find":[127],"protocol":[131],"also":[132],"works":[133],"directly":[134],"Stable":[136],"Diffusion":[137],"achieves":[139],"comparable":[140],"performance":[141],"current":[143],"models,":[150],"calling":[151],"into":[152],"question":[153],"some":[154],"conclusions":[157],"drawn":[158],"from":[159],"prior":[160],"works.":[161]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}