{"id":"https://openalex.org/W4415306987","doi":"https://doi.org/10.48550/arxiv.2504.17253","title":"DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks","display_name":"DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks","publication_year":2025,"publication_date":"2025-04-24","ids":{"openalex":"https://openalex.org/W4415306987","doi":"https://doi.org/10.48550/arxiv.2504.17253"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2504.17253","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.17253","pdf_url":"https://arxiv.org/pdf/2504.17253","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/2504.17253","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101655180","display_name":"Yinqi Li","orcid":"https://orcid.org/0009-0003-4846-5261"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Yinqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037306106","display_name":"Hong Chang","orcid":"https://orcid.org/0000-0002-2668-0070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Hong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002807265","display_name":"Ruibing Hou","orcid":"https://orcid.org/0000-0003-2480-6538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hou, Ruibing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050297728","display_name":"Shiguang Shan","orcid":"https://orcid.org/0000-0002-8348-392X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shan, Shiguang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083420537","display_name":"Xilin Chen","orcid":"https://orcid.org/0000-0003-3024-4404"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Xilin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101655180"],"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/T10320","display_name":"Neural Networks and Applications","score":0.3580999970436096,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.3580999970436096,"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/discriminative-model","display_name":"Discriminative model","score":0.9550999999046326},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5947999954223633},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5873000025749207},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5626999735832214},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5453000068664551},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4871000051498413}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9550999999046326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6899999976158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6747000217437744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5947999954223633},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5873000025749207},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5453000068664551},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4871000051498413},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3986000120639801},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3882000148296356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35260000824928284},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.34220001101493835},{"id":"https://openalex.org/C3309286","wikidata":"https://www.wikidata.org/wiki/Q4907693","display_name":"Bilevel optimization","level":3,"score":0.32829999923706055},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.2694999873638153},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.26409998536109924}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2504.17253","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.17253","pdf_url":"https://arxiv.org/pdf/2504.17253","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2504.17253","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2504.17253","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:2504.17253","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2504.17253","pdf_url":"https://arxiv.org/pdf/2504.17253","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1389078996","display_name":null,"funder_award_id":"62306301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3980976923","display_name":null,"funder_award_id":"62376259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4416650874","display_name":null,"funder_award_id":"2022031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G663383901","display_name":null,"funder_award_id":"BX20220310","funder_id":"https://openalex.org/F4320335768","funder_display_name":"National Postdoctoral Program for Innovative Talents"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335768","display_name":"National Postdoctoral Program for Innovative Talents","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415306987.pdf","grobid_xml":"https://content.openalex.org/works/W4415306987.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Diffusion":[0],"models":[1,25,41,129],"have":[2],"shown":[3],"remarkable":[4],"progress":[5],"in":[6],"various":[7],"generative":[8,39],"tasks":[9],"such":[10],"as":[11],"image":[12],"and":[13,75,128],"video":[14],"generation.":[15],"This":[16],"paper":[17],"studies":[18],"the":[19,33,43,47,70,86,118],"problem":[20],"of":[21,36,85],"leveraging":[22],"pretrained":[23,37,56],"diffusion":[24,40,58],"for":[26,68,80,122],"performing":[27],"discriminative":[28,34,103],"tasks.":[29],"Specifically,":[30],"we":[31],"extend":[32],"capability":[35],"frozen":[38],"from":[42],"classification":[44,123],"task":[45],"to":[46],"more":[48,82],"complex":[49],"object":[50,104],"detection":[51,105],"task,":[52],"by":[53],"\"inverting\"":[54],"a":[55,63,76],"layout-to-image":[57],"model.":[59],"To":[60],"this":[61,96],"end,":[62],"gradient-based":[64],"discrete":[65],"optimization":[66],"approach":[67],"replacing":[69],"heavy":[71],"prediction":[72],"enumeration":[73],"process,":[74],"prior":[77],"distribution":[78],"model":[79],"making":[81],"accurate":[83],"use":[84],"Bayes'":[87],"rule,":[88],"are":[89,130],"proposed":[90],"respectively.":[91],"Empirical":[92],"results":[93],"show":[94],"that":[95],"method":[97,113,121],"is":[98],"on":[99,107],"par":[100],"with":[101],"basic":[102],"baselines":[106],"COCO":[108],"dataset.":[109],"In":[110],"addition,":[111],"our":[112],"can":[114],"greatly":[115],"speed":[116],"up":[117],"previous":[119],"diffusion-based":[120],"without":[124],"sacrificing":[125],"accuracy.":[126],"Code":[127],"available":[131],"at":[132],"https://github.com/LiYinqi/DIVE":[133],".":[134]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-18T00:00:00"}