{"id":"https://openalex.org/W4385768145","doi":"https://doi.org/10.24963/ijcai.2023/196","title":"STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?","display_name":"STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385768145","doi":"https://doi.org/10.24963/ijcai.2023/196"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/196","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/196","pdf_url":"https://www.ijcai.org/proceedings/2023/0196.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0196.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101757862","display_name":"Xin Zhao","orcid":"https://orcid.org/0009-0007-4668-2050"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhao","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials, University of Jinan, Jinan 250022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Preparation and Measurement of Building Materials, University of Jinan, Jinan 250022, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024136480","display_name":"Jifeng Guo","orcid":"https://orcid.org/0000-0002-8520-3178"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jifeng Guo","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou 510641, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou 510641, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403173","display_name":"Lin Wang","orcid":"https://orcid.org/0000-0002-5491-8840"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Wang","raw_affiliation_strings":["Quan Cheng Laboratory, Jinan 250100, China","Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quan Cheng Laboratory, Jinan 250100, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079636661","display_name":"Fanqi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanqi Li","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China","Shandong Qiuqi Analysis Instrument Co., Ltd., Jinan 250024, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China","institution_ids":["https://openalex.org/I34949971"]},{"raw_affiliation_string":"Shandong Qiuqi Analysis Instrument Co., Ltd., Jinan 250024, China","institution_ids":["https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328393","display_name":"Jiahao Li","orcid":"https://orcid.org/0000-0003-4559-0086"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Li","raw_affiliation_strings":["Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075042182","display_name":"Junteng Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]},{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CA","CN"],"is_corresponding":false,"raw_author_name":"Junteng Zheng","raw_affiliation_strings":["David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada","Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065368480","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0001-7961-853X"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["Quan Cheng Laboratory, Jinan 250100, China","Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quan Cheng Laboratory, Jinan 250100, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan 250022, China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1228,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80264238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1768","last_page":"1776"},"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":0.9958999752998352,"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":0.9958999752998352,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/texture-synthesis","display_name":"Texture synthesis","score":0.7220979332923889},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6844086050987244},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6357744932174683},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.624294638633728},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5790563821792603},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.5211865305900574},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.49115344882011414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4520379304885864},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.4361834228038788},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42934268712997437},{"id":"https://openalex.org/keywords/solid-modeling","display_name":"Solid modeling","score":0.4142988920211792},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3586046099662781},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31656092405319214},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.2918631434440613},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.16787788271903992},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08112475275993347},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06878790259361267}],"concepts":[{"id":"https://openalex.org/C50494287","wikidata":"https://www.wikidata.org/wiki/Q658467","display_name":"Texture synthesis","level":5,"score":0.7220979332923889},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6844086050987244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6357744932174683},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.624294638633728},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5790563821792603},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.5211865305900574},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.49115344882011414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4520379304885864},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.4361834228038788},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42934268712997437},{"id":"https://openalex.org/C108882727","wikidata":"https://www.wikidata.org/wiki/Q2991685","display_name":"Solid modeling","level":2,"score":0.4142988920211792},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3586046099662781},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31656092405319214},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.2918631434440613},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.16787788271903992},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08112475275993347},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06878790259361267},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/196","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/196","pdf_url":"https://www.ijcai.org/proceedings/2023/0196.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/196","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2023/196","pdf_url":"https://www.ijcai.org/proceedings/2023/0196.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[{"id":"https://openalex.org/G1012622145","display_name":null,"funder_award_id":"62072213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1029627655","display_name":"\u9762\u5411\u5b8f\u89c2\u6027\u80fd\u6f14\u5316\u673a\u7406\u7684\u6c34\u6ce5\u6c34\u5316\u52a8\u529b\u5b66\u53cd\u5411\u5efa\u6a21\u7814\u7a76","funder_award_id":"61872419","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1288029309","display_name":null,"funder_award_id":"61873324","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G1855097118","display_name":null,"funder_award_id":"ZR2022ZD01","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G2304839929","display_name":null,"funder_award_id":"No. 61873324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3149382368","display_name":null,"funder_award_id":"tsqn201812077","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4109084468","display_name":null,"funder_award_id":"No. 61872419","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5480395918","display_name":null,"funder_award_id":"61872419","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5494730883","display_name":null,"funder_award_id":"ZR2020KF006","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G5967471556","display_name":null,"funder_award_id":"61903156","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6015680095","display_name":null,"funder_award_id":"61873324","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6123041946","display_name":null,"funder_award_id":"ZR2022JQ30","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G6124353402","display_name":null,"funder_award_id":"tsqn201812077","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8819365295","display_name":"\u8106\u5f31\u611f\u77e5\u4e0b\u961f\u5217\u8f66\u8f86\u63a7\u5236\u4e0e\u901a\u4fe1\u6df1\u5ea6\u878d\u5408\u7684\u534f\u540c\u5de1\u822a\u673a\u5236\u7814\u7a76","funder_award_id":"61903156","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385768145.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1540859741","https://openalex.org/W1686810756","https://openalex.org/W1738763389","https://openalex.org/W1805577933","https://openalex.org/W2078790577","https://openalex.org/W2092007123","https://openalex.org/W2097177823","https://openalex.org/W2104329210","https://openalex.org/W2116013899","https://openalex.org/W2155729543","https://openalex.org/W2168594645","https://openalex.org/W2232702494","https://openalex.org/W2626747818","https://openalex.org/W2732922242","https://openalex.org/W2906750803","https://openalex.org/W2962719787","https://openalex.org/W2980874259","https://openalex.org/W2981041976","https://openalex.org/W2982041717","https://openalex.org/W2996767657","https://openalex.org/W3035426517","https://openalex.org/W3037998647","https://openalex.org/W3136799815","https://openalex.org/W3176095173","https://openalex.org/W4295521014","https://openalex.org/W4297749385","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W4313443006","https://openalex.org/W2945374968","https://openalex.org/W4385452045","https://openalex.org/W4293777179","https://openalex.org/W2164070813","https://openalex.org/W2135608140","https://openalex.org/W2895525995","https://openalex.org/W4224231624","https://openalex.org/W2332512904","https://openalex.org/W2319626700"],"abstract_inverted_index":{"Solid":[0],"texture":[1,72,92],"synthesis":[2],"(STS),":[3],"an":[4],"effective":[5],"way":[6],"to":[7,12,27,38,57,63,114],"extend":[8,58],"a":[9,13,50],"2D":[10,61,71,80,116],"exemplar":[11,62,81],"3D":[14,65,87,91],"solid":[15,40,66,96,108],"volume,":[16],"exhibits":[17],"advantages":[18],"in":[19,35],"computational":[20],"photography.":[21],"However,":[22],"existing":[23],"methods":[24],"generally":[25],"fail":[26],"accurately":[28],"learn":[29],"arbitrary":[30,64],"textures,":[31],"which":[32],"may":[33],"result":[34],"the":[36,59,75,78,85,90,102,115],"failure":[37],"synthesize":[39],"textures":[41,109],"with":[42,110],"high":[43],"fidelity.":[44],"In":[45,68],"this":[46],"paper,":[47],"we":[48],"propose":[49],"novel":[51],"generative":[52],"adversarial":[53],"nets-based":[54],"framework":[55],"(STS-GAN)":[56],"given":[60,79],"textures.":[67,97],"STS-GAN,":[69],"multi-scale":[70],"discriminators":[73],"evaluate":[74],"similarity":[76],"between":[77],"and":[82],"slices":[83],"from":[84],"generated":[86],"texture,":[88],"promoting":[89],"generator":[93],"synthesizing":[94],"realistic":[95],"Finally,":[98],"experiments":[99],"demonstrate":[100],"that":[101],"proposed":[103],"method":[104],"can":[105],"generate":[106],"high-fidelity":[107],"similar":[111],"visual":[112],"characteristics":[113],"exemplar.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2023-08-12T00:00:00"}