{"id":"https://openalex.org/W7139963831","doi":"https://doi.org/10.48550/arxiv.2603.18719","title":"Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real Transfer","display_name":"Ontology-Guided Diffusion for Zero-Shot Visual Sim2Real Transfer","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139963831","doi":"https://doi.org/10.48550/arxiv.2603.18719"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.18719","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18719","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.18719","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074843583","display_name":"Mohamed Abdelrahman Ibrahim Youssef","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Youssef, Mohamed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5120686447","display_name":"Mayar Elfares","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elfares, Mayar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130246094","display_name":"Anna-Maria Meer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meer, Anna-Maria","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031624405","display_name":"Matteo Bortoletto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bortoletto, Matteo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130224709","display_name":"Andreas Bulling","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bulling, Andreas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.934499979019165,"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":0.934499979019165,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.016899999231100082,"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":0.003800000064074993,"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/bridging","display_name":"Bridging (networking)","score":0.656499981880188},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5896999835968018},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.520799994468689},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49950000643730164},{"id":"https://openalex.org/keywords/realism","display_name":"Realism","score":0.43140000104904175},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.3772999942302704},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.3767000138759613},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.36739999055862427},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.34360000491142273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6664000153541565},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.656499981880188},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5896999835968018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5716000199317932},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.520799994468689},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49950000643730164},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4684999883174896},{"id":"https://openalex.org/C543847140","wikidata":"https://www.wikidata.org/wiki/Q2642826","display_name":"Realism","level":2,"score":0.43140000104904175},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.33970001339912415},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30820000171661377},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.29910001158714294},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C106624574","wikidata":"https://www.wikidata.org/wiki/Q5270387","display_name":"Diagrammatic reasoning","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2802000045776367},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.27889999747276306},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.2741999924182892},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2529999911785126},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.18719","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18719","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.18719","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18719","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":"Preprint"},"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":{"Bridging":[0],"the":[1,27,104,118,133],"simulation-to-reality":[2],"(sim2real)":[3],"gap":[4],"remains":[5],"challenging":[6],"as":[7,51,65],"labelled":[8],"real-world":[9],"data":[10],"is":[11],"scarce.":[12],"Existing":[13],"diffusion-based":[14],"approaches":[15],"rely":[16],"on":[17],"unstructured":[18],"prompts":[19],"or":[20],"statistical":[21],"alignment,":[22],"which":[23],"do":[24],"not":[25],"capture":[26],"structured":[28,52,140],"factors":[29],"that":[30,48,169],"make":[31],"images":[32],"look":[33],"real.":[34],"We":[35],"introduce":[36],"Ontology-":[37],"Guided":[38],"Diffusion":[39],"(OGD),":[40],"a":[41,76,80,89,95,100,109,125,139],"neuro-symbolic":[42],"zero-shot":[43,179],"sim2real":[44,163,180],"image":[45,164],"translation":[46],"framework":[47],"represents":[49],"realism":[50,56,119,172],"knowledge.":[53],"OGD":[54,83,157,167],"decomposes":[55],"into":[57,138],"an":[58],"ontology":[59,105],"of":[60,112],"interpretable":[61],"traits":[62,106],"--":[63,70],"such":[64],"lighting":[66],"and":[67,71,87,156,177],"material":[68],"properties":[69],"encodes":[72],"their":[73],"relationships":[74],"in":[75,162],"knowledge":[77],"graph.":[78],"From":[79],"synthetic":[81,152],"image,":[82],"infers":[84],"trait":[85],"activations":[86],"uses":[88,103],"graph":[90,122],"neural":[91],"network":[92],"to":[93,107,116],"produce":[94],"global":[96],"embedding.":[97],"In":[98],"parallel,":[99],"symbolic":[101],"planner":[102],"compute":[108],"consistent":[110],"sequence":[111],"visual":[113],"edits":[114,135],"needed":[115],"narrow":[117],"gap.":[120],"The":[121],"embedding":[123],"conditions":[124],"pretrained":[126],"instruction-guided":[127],"diffusion":[128,160],"model":[129],"via":[130],"cross-attention,":[131],"while":[132],"planned":[134],"are":[136],"converted":[137],"instruction":[141],"prompt.":[142],"Across":[143],"benchmarks,":[144],"our":[145],"graph-based":[146],"embeddings":[147],"better":[148],"distinguish":[149],"real":[150],"from":[151],"imagery":[153],"than":[154],"baselines,":[155],"outperforms":[158],"state-of-the-art":[159],"methods":[161],"translations.":[165],"Overall,":[166],"shows":[168],"explicitly":[170],"encoding":[171],"structure":[173],"enables":[174],"interpretable,":[175],"data-efficient,":[176],"generalisable":[178],"transfer.":[181]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-21T00:00:00"}
