{"id":"https://openalex.org/W7155038074","doi":"https://doi.org/10.48550/arxiv.2604.17492","title":"Coevolving Representations in Joint Image-Feature Diffusion","display_name":"Coevolving Representations in Joint Image-Feature Diffusion","publication_year":2026,"publication_date":"2026-04-19","ids":{"openalex":"https://openalex.org/W7155038074","doi":"https://doi.org/10.48550/arxiv.2604.17492"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-05627650v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05627650","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2025","raw_type":"Preprints, Working Papers, ..."},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05627650","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013292648","display_name":"Theodoros Kouzelis","orcid":"https://orcid.org/0000-0002-1938-9250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kouzelis, Theodoros","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070809773","display_name":"Spyros Gidaris","orcid":"https://orcid.org/0000-0003-1515-3635"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gidaris, Spyros","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043423948","display_name":"Nikos Komodakis","orcid":"https://orcid.org/0009-0000-6767-5641"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Komodakis, Nikos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"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":0.9521999955177307,"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":0.9521999955177307,"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":0.01549999974668026,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.003100000089034438,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6050000190734863},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5626000165939331},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5264999866485596},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5142999887466431},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5141000151634216},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.45969998836517334},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43779999017715454},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4036000072956085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6187000274658203},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6050000190734863},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5626000165939331},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5264999866485596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5235999822616577},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5142999887466431},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5141000151634216},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4036000072956085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38260000944137573},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3573000133037567},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.34950000047683716},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2840999960899353},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2694000005722046},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.2615000009536743}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:HAL:hal-05627650v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05627650","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2025","raw_type":"Preprints, Working Papers, ..."},{"id":"doi:10.48550/arxiv.2604.17492","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17492","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05627650v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05627650","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2025","raw_type":"Preprints, Working Papers, ..."},"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":{"Joint":[0],"image-feature":[1],"generative":[2,42,62,164],"modeling":[3,165],"has":[4],"recently":[5],"emerged":[6],"as":[7],"an":[8],"effective":[9],"strategy":[10],"for":[11],"improving":[12,141],"diffusion":[13,56,93,154,183],"training":[14,83],"by":[15,84],"coupling":[16],"low-level":[17],"VAE":[18,152],"latents":[19],"with":[20,91,144],"high-level":[21],"semantic":[22,78,130,161],"features":[23],"extracted":[24],"from":[25],"pre-trained":[26],"visual":[27],"encoders.":[28],"However,":[29],"existing":[30],"approaches":[31],"rely":[32],"on":[33],"a":[34,73,86,113],"fixed":[35,187],"representation":[36,53,79,188],"space,":[37],"constructed":[38],"independently":[39],"of":[40,115,138],"the":[41,52,61,77,92,129,136],"objective":[43],"and":[44,119,155,176],"kept":[45],"unchanged":[46],"during":[47,82],"training.":[48],"We":[49,147],"argue":[50],"that":[51,106,122,159,171],"space":[54,80,131],"guiding":[55],"should":[57],"itself":[58],"adapt":[59],"to":[60,101,132,135,150,181],"task.":[63],"To":[64],"this":[65,98],"end,":[66],"we":[67,104],"propose":[68],"Coevolving":[69],"Representation":[70],"Diffusion":[71],"(CoReDi),":[72],"framework":[74],"in":[75,186],"which":[76],"evolves":[81],"learning":[85],"lightweight":[87],"linear":[88],"projection":[89,99],"jointly":[90],"model.":[94],"While":[95],"naively":[96],"optimizing":[97],"leads":[100],"degenerate":[102],"solutions,":[103],"show":[105,170],"stable":[107],"coevolution":[108],"can":[109],"be":[110],"achieved":[111],"through":[112],"combination":[114],"stop-gradient":[116],"targets,":[117],"normalization,":[118],"targeted":[120],"regularization":[121],"prevents":[123],"feature":[124],"collapse.":[125],"This":[126],"formulation":[127],"enables":[128],"progressively":[133],"specialize":[134],"needs":[137],"image":[139,145],"synthesis,":[140],"its":[142],"complementarity":[143],"latents.":[146],"apply":[148],"CoReDi":[149,172],"both":[151,167],"latent":[153],"pixel-space":[156],"diffusion,":[157],"demonstrating":[158],"adaptive":[160],"representations":[162],"improve":[163],"across":[166],"settings.":[168],"Experiments":[169],"achieves":[173],"faster":[174],"convergence":[175],"higher":[177],"sample":[178],"quality":[179],"compared":[180],"joint":[182],"models":[184],"operating":[185],"spaces.":[189]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-22T00:00:00"}
