{"id":"https://openalex.org/W4327661565","doi":"https://doi.org/10.1109/tgrs.2023.3257861","title":"Cross-View Image Synthesis From a Single Image With Progressive Parallel GAN","display_name":"Cross-View Image Synthesis From a Single Image With Progressive Parallel GAN","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4327661565","doi":"https://doi.org/10.1109/tgrs.2023.3257861"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3257861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3257861","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5068185303","display_name":"Yingying Zhu","orcid":"https://orcid.org/0000-0002-3475-6186"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingying Zhu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-3475-6186","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019584415","display_name":"Shihai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shihai Chen","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030640379","display_name":"Xiufan Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiufan Lu","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044377595","display_name":"Jianyong Chen","orcid":"https://orcid.org/0000-0002-6203-1254"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyong Chen","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6203-1254","affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068185303"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.8242,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73843022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9986000061035156,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.7962028980255127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6306800246238708},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5623546242713928},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5472835302352905},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5108544230461121},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4847869277000427},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4812169373035431},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.45658889412879944},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.44570082426071167},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4354850947856903},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.4311596155166626},{"id":"https://openalex.org/keywords/image-formation","display_name":"Image formation","score":0.41685763001441956},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41280338168144226},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.410236120223999},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3373768627643585},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3113342523574829},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08846557140350342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962028980255127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6306800246238708},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5623546242713928},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5472835302352905},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5108544230461121},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4847869277000427},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4812169373035431},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.45658889412879944},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.44570082426071167},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4354850947856903},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.4311596155166626},{"id":"https://openalex.org/C125045340","wikidata":"https://www.wikidata.org/wiki/Q6002224","display_name":"Image formation","level":3,"score":0.41685763001441956},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41280338168144226},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.410236120223999},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3373768627643585},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3113342523574829},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08846557140350342},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3257861","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2023.3257861","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3031855949","display_name":null,"funder_award_id":"2021A1515012014","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4061162565","display_name":null,"funder_award_id":"20220810142553001","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"},{"id":"https://openalex.org/G4223360249","display_name":null,"funder_award_id":"62072318","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7360474923","display_name":null,"funder_award_id":"JCYJ20190808172007500","funder_id":"https://openalex.org/F4320336569","funder_display_name":"Shenzhen Science and Technology Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320336569","display_name":"Shenzhen Science and Technology Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1901129140","https://openalex.org/W2015983227","https://openalex.org/W2144311066","https://openalex.org/W2163605009","https://openalex.org/W2199890863","https://openalex.org/W2331128040","https://openalex.org/W2348664362","https://openalex.org/W2479919622","https://openalex.org/W2523915754","https://openalex.org/W2563705555","https://openalex.org/W2572697301","https://openalex.org/W2598591334","https://openalex.org/W2603777577","https://openalex.org/W2780861787","https://openalex.org/W2787931417","https://openalex.org/W2798925380","https://openalex.org/W2895191479","https://openalex.org/W2952716587","https://openalex.org/W2953096069","https://openalex.org/W2962974533","https://openalex.org/W2963021791","https://openalex.org/W2963073614","https://openalex.org/W2963226019","https://openalex.org/W2963604457","https://openalex.org/W2969970675","https://openalex.org/W2985299701","https://openalex.org/W3009973819","https://openalex.org/W3034680896","https://openalex.org/W3034954643","https://openalex.org/W3035003562","https://openalex.org/W3035524985","https://openalex.org/W3135662255","https://openalex.org/W3167914619","https://openalex.org/W3179323839","https://openalex.org/W4220772842","https://openalex.org/W4294643831","https://openalex.org/W6631190155","https://openalex.org/W6639824700","https://openalex.org/W6684191040","https://openalex.org/W6718140377","https://openalex.org/W6745560452","https://openalex.org/W6748486149","https://openalex.org/W6755312952","https://openalex.org/W6767466767"],"related_works":["https://openalex.org/W2811293692","https://openalex.org/W1495814089","https://openalex.org/W3209327644","https://openalex.org/W3561445","https://openalex.org/W2380094374","https://openalex.org/W2381412720","https://openalex.org/W1969377463","https://openalex.org/W4255353343","https://openalex.org/W3195076465","https://openalex.org/W2515271729"],"abstract_inverted_index":{"Cross-view":[0],"image":[1,8,19,68,192,244],"synthesis":[2],"aims":[3],"to":[4,44,60,135,157,185,224],"synthesize":[5],"a":[6,15,37,62,71,94,149,178,196,220],"ground-view":[7],"covering":[9],"the":[10,32,86,117,127,146,155,187,205,213,226,229,246,264],"same":[11],"geographic":[12],"region":[13],"for":[14,85,171],"given":[16],"single":[17,72],"aerial-view":[18],"(or":[20],"vice":[21],"versa).":[22],"Existing":[23],"approaches":[24],"typically":[25],"tackle":[26],"this":[27,48,55,90,122],"challenging":[28],"task":[29,128],"by":[30],"relaxing":[31],"single-image":[33],"constraint":[34],"and":[35,64,108,138,200,233,257,262],"using":[36],"ground-truth":[38],"semantic":[39],"map":[40],"as":[41,116],"additional":[42,249],"input":[43,74,87,243],"aid":[45,247],"synthesis.":[46,203],"However,":[47],"is":[49,183,252],"nearly":[50],"infeasible":[51],"in":[52,76,161,219],"practice.":[53],"In":[54,121],"paper,":[56],"we":[57,92],"investigate":[58],"how":[59],"generate":[61,136],"detail-enriched":[63,137,256],"structurally":[65,139,258],"accurate":[66,140,259],"ground-level":[67],"from":[69,104],"only":[70,241],"aerial-level":[73],"image,":[75],"which":[77,133,194],"there":[78],"are":[79],"no":[80],"other":[81],"prior":[82],"knowledge":[83],"except":[84],"image.":[88,231],"Towards":[89],"goal,":[91],"propose":[93],"novel":[95],"Progressive":[96],"Parallel":[97],"Generative":[98],"Adversarial":[99],"Network":[100],"(PPGAN)":[101],"that":[102,153],"starts":[103],"generating":[105],"low-resolution":[106],"outputs":[107],"progressively":[109],"produces":[110],"ground":[111,141,260],"images":[112,160,218,261],"at":[113],"higher":[114],"resolutions":[115],"network":[118],"propagates":[119],"forward.":[120],"manner,":[123],"our":[124,238],"PPGAN":[125,147],"decomposes":[126],"into":[129],"several":[130],"manageable":[131],"sub-tasks,":[132],"helps":[134],"images.":[142],"During":[143],"progressive":[144],"generation,":[145],"employs":[148],"parallel":[150],"generation":[151],"paradigm":[152],"enables":[154,195],"generator":[156],"produce":[158],"multi-resolution":[159,176],"parallel,":[162],"thereby":[163],"avoiding":[164],"excessive":[165],"time":[166],"cost":[167],"on":[168,268],"training.":[169],"Furthermore,":[170],"effective":[172],"information":[173,202],"propagation":[174],"across":[175],"images,":[177],"feature":[179],"fusion":[180],"module":[181],"(FFM)":[182],"devised":[184],"mitigate":[186],"domain":[188],"gap":[189],"between":[190,216],"cross-level":[191],"features,":[193],"balance":[197],"of":[198,228,248,254],"detail":[199],"structural":[201],"Additionally,":[204],"proposed":[206],"Channel-Space":[207],"Attention":[208],"Selection":[209],"Module":[210],"(CSASM)":[211],"learns":[212],"mapping":[214],"relationship":[215],"cross-view":[217],"larger":[221],"scale":[222],"space":[223],"enhance":[225],"quality":[227],"output":[230],"Quantitative":[232],"qualitative":[234],"experiments":[235],"demonstrate":[236],"that,":[237],"method":[239],"requires":[240],"one":[242],"without":[245],"inputs,":[250],"but":[251],"capable":[253],"synthesizing":[255],"outperforms":[263],"existing":[265],"state-of-the-art":[266],"methods":[267],"two":[269],"famous":[270],"benchmarks.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
