{"id":"https://openalex.org/W7161824848","doi":"https://doi.org/10.48550/arxiv.2605.20090","title":"MetaEarth-MM: Unified Multimodal Remote Sensing Image Generation with Scene-centered Joint Modeling","display_name":"MetaEarth-MM: Unified Multimodal Remote Sensing Image Generation with Scene-centered Joint Modeling","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161824848","doi":"https://doi.org/10.48550/arxiv.2605.20090"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.20090","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.20090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.20090","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134764658","display_name":"Zhiping Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Zhiping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136529830","display_name":"Chenyang Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Chenyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134796695","display_name":"Jinqi Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Jinqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136611522","display_name":"Qinzhe Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Qinzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136581350","display_name":"Siwei Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Siwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088611151","display_name":"Zhengxia Zou","orcid":"https://orcid.org/0000-0003-1774-552X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Zhengxia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136600272","display_name":"Zhenwei Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shi, Zhenwei","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":0.8705999851226807,"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":0.8705999851226807,"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":0.01889999955892563,"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":0.016699999570846558,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.6215999722480774},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.605400025844574},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5644999742507935},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5561000108718872},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5533000230789185},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5482000112533569},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5241000056266785},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.504800021648407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7853000164031982},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6215999722480774},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.605400025844574},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5644999742507935},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5561000108718872},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5533000230789185},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5482000112533569},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5241000056266785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5069000124931335},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.504800021648407},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.49000000953674316},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.47690001130104065},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3610999882221222},{"id":"https://openalex.org/C183365957","wikidata":"https://www.wikidata.org/wiki/Q17140402","display_name":"Remote sensing application","level":3,"score":0.33970001339912415},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.326200008392334},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3253999948501587},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.325300008058548},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32269999384880066},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.31029999256134033},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2709999978542328},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.20090","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.20090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2605.20090","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.20090","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-modal":[0],"remote":[1,56],"sensing":[2,57],"images":[3,151],"are":[4,13],"vital":[5],"for":[6,54,194],"Earth":[7,196],"observation,":[8],"yet":[9],"complete":[10],"paired":[11,60],"observations":[12],"often":[14],"scarce":[15],"in":[16,88],"practice.":[17],"Existing":[18],"generative":[19,50,166],"methods":[20,92],"commonly":[21],"address":[22],"this":[23,133],"problem":[24],"through":[25],"isolated":[26],"pairwise":[27],"modality":[28],"translation,":[29],"but":[30,175],"their":[31],"versatility":[32],"and":[33,42,63,126,168,183,200],"scalability":[34],"remain":[35],"limited":[36],"as":[37,189],"the":[38,74,103,106],"number":[39],"of":[40],"modalities":[41,68,130],"generation":[43,62,104,173],"tasks":[44,179],"increases.":[45],"Here,":[46],"we":[47,81,139],"develop":[48],"a":[49,70,83,113,119,143,190],"foundation":[51,192],"model":[52,101,193],"MetaEarth-MM":[53,111,161],"multi-modal":[55,79],"imagery,":[58],"enabling":[59],"joint":[61,85],"any-to-any":[64],"translation":[65],"across":[66,171],"five":[67],"within":[69],"unified":[71],"model.":[72],"Recognizing":[73],"intrinsic":[75],"scene":[76,108,121],"consistency":[77],"underlying":[78,107],"observations,":[80,125],"introduce":[82],"scene-centered":[84],"modeling":[86],"paradigm":[87],"MetaEarth-MM.":[89],"Unlike":[90],"previous":[91],"that":[93,116,160],"rely":[94],"on":[95,132],"direct":[96],"appearance-level":[97],"cross-modal":[98,195],"mapping,":[99],"our":[100],"organizes":[102],"around":[105],"content.":[109],"Specifically,":[110],"adopts":[112],"decoupled":[114],"architecture":[115],"first":[117],"infers":[118],"latent":[120],"representation":[122,184],"from":[123],"available":[124,204],"then":[127],"generates":[128],"target":[129],"conditioned":[131],"intermediate":[134],"state.":[135],"To":[136],"support":[137],"training,":[138],"further":[140],"construct":[141],"EarthMM,":[142],"large-scale":[144],"dataset":[145,201],"comprising":[146],"2.8":[147],"million":[148,154],"multi-resolution":[149],"global":[150],"with":[152],"2.2":[153],"aligned":[155],"pairs.":[156],"Extensive":[157],"experiments":[158],"demonstrate":[159],"not":[162],"only":[163],"exhibits":[164],"strong":[165],"capability":[167],"robust":[169],"generalization":[170],"diverse":[172],"tasks,":[174],"also":[176],"supports":[177],"downstream":[178],"at":[180,205],"both":[181],"data":[182],"levels,":[185],"highlighting":[186],"its":[187],"potential":[188],"general":[191],"observation.":[197],"The":[198],"code":[199],"will":[202],"be":[203],"https://github.com/YZPioneer/MetaEarth-MM.":[206]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-21T00:00:00"}
