{"id":"https://openalex.org/W7140214242","doi":"https://doi.org/10.48550/arxiv.2603.20382","title":"Uni-Classifier: Leveraging Video Diffusion Priors for Universal Guidance Classifier","display_name":"Uni-Classifier: Leveraging Video Diffusion Priors for Universal Guidance Classifier","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7140214242","doi":"https://doi.org/10.48550/arxiv.2603.20382"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.20382","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20382","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.20382","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zhou, Yujie","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhou, Yujie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Ling, Pengyang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ling, Pengyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Bu, Jiazi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bu, Jiazi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Gao, Bingjie","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Bingjie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Niu, Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.8859000205993652,"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":0.8859000205993652,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.02280000038444996,"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"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.008299999870359898,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6373000144958496},{"id":"https://openalex.org/keywords/chaining","display_name":"Chaining","score":0.6229000091552734},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5479999780654907},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4936999976634979},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4713999927043915},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4620000123977661},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4165000021457672}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.770799994468689},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6373000144958496},{"id":"https://openalex.org/C49020025","wikidata":"https://www.wikidata.org/wiki/Q1059099","display_name":"Chaining","level":2,"score":0.6229000091552734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.617900013923645},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5479999780654907},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4936999976634979},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4165000021457672},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41040000319480896},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3659999966621399},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.35010001063346863},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3497999906539917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34790000319480896},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.31349998712539673},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C142614401","wikidata":"https://www.wikidata.org/wiki/Q777433","display_name":"Forward chaining","level":3,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.20382","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20382","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":"doi:10.48550/arxiv.2603.20382","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.20382","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":false,"raw_source_name":null,"raw_type":"article"},"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":{"In":[0],"practical":[1],"AI":[2],"workflows,":[3],"complex":[4],"tasks":[5,103],"often":[6],"involve":[7],"chaining":[8],"multiple":[9],"generative":[10,94],"models,":[11,73],"such":[12],"as":[13],"using":[14],"a":[15,22,55],"video":[16,63,99],"or":[17],"3D":[18,101],"generation":[19,45,102,109],"model":[20],"after":[21],"2D":[23],"image":[24],"generator.":[25],"However,":[26],"distributional":[27],"mismatches":[28],"between":[29],"the":[30,36,68,89],"output":[31,90],"of":[32,39,71,92],"upstream":[33],"models":[34,41],"and":[35,100,114,120],"expected":[37],"input":[38],"downstream":[40,79],"frequently":[42],"degrade":[43],"overall":[44],"quality.":[46],"To":[47],"address":[48],"this":[49],"issue,":[50],"we":[51],"propose":[52],"Uni-Classifier":[53],"(Uni-C),":[54],"simple":[56],"yet":[57],"effective":[58],"plug-and-play":[59],"module":[60],"that":[61,105],"leverages":[62],"diffusion":[64],"priors":[65],"to":[66,87],"guide":[67],"denoising":[69],"process":[70],"preceding":[72],"thereby":[74],"aligning":[75],"their":[76],"outputs":[77],"with":[78],"requirements.":[80],"Uni-C":[81,106],"can":[82],"also":[83],"be":[84],"applied":[85],"independently":[86],"enhance":[88],"quality":[91,110],"individual":[93],"models.":[95],"Extensive":[96],"experiments":[97],"across":[98],"demonstrate":[104],"consistently":[107],"improves":[108],"in":[111],"both":[112],"workflow-based":[113],"standalone":[115],"settings,":[116],"highlighting":[117],"its":[118],"versatility":[119],"strong":[121],"generalization":[122],"capability.":[123]},"counts_by_year":[],"updated_date":"2026-04-25T08:17:42.794288","created_date":"2026-03-25T00:00:00"}