{"id":"https://openalex.org/W4389471429","doi":"https://doi.org/10.48550/arxiv.2312.03584","title":"Context Diffusion: In-Context Aware Image Generation","display_name":"Context Diffusion: In-Context Aware Image Generation","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4389471429","doi":"https://doi.org/10.48550/arxiv.2312.03584"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2312.03584","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.03584","pdf_url":"https://arxiv.org/pdf/2312.03584","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-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/2312.03584","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057825687","display_name":"Ivona Najdenkoska","orcid":"https://orcid.org/0000-0001-6852-0609"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Najdenkoska, Ivona","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007075153","display_name":"Animesh A. Sinha","orcid":"https://orcid.org/0000-0003-3213-7813"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sinha, Animesh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020152678","display_name":"Abhimanyu Dubey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dubey, Abhimanyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068664439","display_name":"Dhruv Mahajan","orcid":"https://orcid.org/0000-0002-1429-4551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahajan, Dhruv","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076888060","display_name":"Vignesh Ramanathan","orcid":"https://orcid.org/0000-0002-0119-4420"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramanathan, Vignesh","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038939197","display_name":"Filip Radenovi\u0107","orcid":"https://orcid.org/0000-0002-7122-2765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Radenovic, Filip","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057825687"],"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9915000200271606,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9886999726295471,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7459801435470581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.73859703540802},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.7047172784805298},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.602455198764801},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5629492998123169},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.509809672832489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44026902318000793},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.43770378828048706},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3722914457321167},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3708032965660095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07718619704246521}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7459801435470581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73859703540802},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.7047172784805298},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.602455198764801},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5629492998123169},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.509809672832489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44026902318000793},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.43770378828048706},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3722914457321167},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3708032965660095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07718619704246521},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2312.03584","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.03584","pdf_url":"https://arxiv.org/pdf/2312.03584","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-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.2312.03584","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2312.03584","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:2312.03584","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.03584","pdf_url":"https://arxiv.org/pdf/2312.03584","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-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":[{"display_name":"Quality Education","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389471429.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W1919390113","https://openalex.org/W4248383205","https://openalex.org/W4234745530","https://openalex.org/W2990774877","https://openalex.org/W3093339210","https://openalex.org/W1863657797"],"abstract_inverted_index":{"We":[0],"propose":[1,73],"Context":[2,135],"Diffusion,":[3],"a":[4,30,74],"diffusion-based":[5],"framework":[6,76],"that":[7,59,77,134],"enables":[8],"image":[9,27,32,91,150],"generation":[10],"models":[11,61],"to":[12,98,117,121,156],"learn":[13,64,99],"from":[14,65,100,108],"visual":[15,67,83,102],"examples":[16,37],"presented":[17],"in":[18,95,138,145,149],"context.":[19,68],"Recent":[20],"work":[21],"tackles":[22],"such":[23],"in-context":[24,125],"learning":[25,126],"for":[26],"generation,":[28],"where":[29],"query":[31],"is":[33,55],"provided":[34],"alongside":[35],"context":[36,45,84,103,153],"and":[38,44,85,104,130,141,152],"text":[39],"prompts.":[40],"However,":[41],"the":[42,48,53,66,79,82,86,89,96,101],"quality":[43,151],"fidelity":[46,154],"of":[47,81,88,110],"generated":[49],"images":[50],"deteriorate":[51],"when":[52],"prompt":[54],"not":[56],"present,":[57],"demonstrating":[58],"these":[60],"cannot":[62],"truly":[63],"To":[69],"address":[70,123],"this,":[71],"we":[72,113],"novel":[75],"separates":[78],"encoding":[80],"preservation":[87],"desired":[90],"layout.":[92],"This":[93],"results":[94],"ability":[97],"prompts,":[105],"but":[106],"also":[107],"either":[109],"them.":[111],"Furthermore,":[112],"enable":[114],"our":[115],"model":[116],"handle":[118],"few-shot":[119],"settings,":[120],"effectively":[122],"diverse":[124],"scenarios.":[127],"Our":[128],"experiments":[129],"human":[131],"evaluation":[132],"demonstrate":[133],"Diffusion":[136],"excels":[137],"both":[139],"in-domain":[140],"out-of-domain":[142],"tasks,":[143],"resulting":[144],"an":[146],"overall":[147],"enhancement":[148],"compared":[155],"counterpart":[157],"models.":[158]},"counts_by_year":[],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}