{"id":"https://openalex.org/W4393156458","doi":"https://doi.org/10.1609/aaai.v38i7.28622","title":"Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks","display_name":"Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks","publication_year":2024,"publication_date":"2024-03-24","ids":{"openalex":"https://openalex.org/W4393156458","doi":"https://doi.org/10.1609/aaai.v38i7.28622"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v38i7.28622","doi":"https://doi.org/10.1609/aaai.v38i7.28622","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i7.28622","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/28622/29208","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/28622/29208","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Siyu Zou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Zou","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100708608","display_name":"Jiji Tang","orcid":"https://orcid.org/0009-0001-9581-8790","observed_orcids":["https://orcid.org/0009-0001-9581-8790"]},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiji Tang","raw_affiliation_strings":["Fuxi AI Lab, NetEase Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuxi AI Lab, NetEase Inc","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620674","display_name":"Yiyi Zhou","orcid":"https://orcid.org/0009-0000-7553-0928","observed_orcids":["https://orcid.org/0009-0000-7553-0928"]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyi Zhou","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jing He","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing He","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Chaoyi Zhao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyi Zhao","raw_affiliation_strings":["Fuxi AI Lab, NetEase Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuxi AI Lab, NetEase Inc","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018408488","display_name":"Rongsheng Zhang","orcid":"https://orcid.org/0009-0008-1248-2090","observed_orcids":["https://orcid.org/0009-0008-1248-2090","https://orcid.org/0009-0004-7690-6383"]},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongsheng Zhang","raw_affiliation_strings":["Fuxi AI Lab, NetEase Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuxi AI Lab, NetEase Inc","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112113390","display_name":"Zhipeng Hu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Hu","raw_affiliation_strings":["Fuxi AI Lab, NetEase Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fuxi AI Lab, NetEase Inc","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059926864","display_name":"Xiaoshuai Sun","orcid":"https://orcid.org/0000-0003-3912-9306","observed_orcids":["https://orcid.org/0000-0003-3912-9306"]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoshuai Sun","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2423,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91842971,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"38","issue":"7","first_page":"7864","last_page":"7872"},"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":1.0,"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":1.0,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.0,"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":0.0,"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/attention-masks","display_name":"attention masks","score":0.7379999756813049},{"id":"https://openalex.org/keywords/text-to-image-diffusion-models","display_name":"text-to-image diffusion models","score":0.9269999861717224},{"id":"https://openalex.org/keywords/cross-modal-attention","display_name":"cross-modal attention","score":0.8040000200271606},{"id":"https://openalex.org/keywords/inference-efficiency","display_name":"inference efficiency","score":0.6589999794960022}],"concepts":[{"id":"https://openalex.org/C2779432360","wikidata":"https://www.wikidata.org/wiki/Q16963779","display_name":"Instant","level":2,"score":0.8567582368850708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6048021912574768},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.593589723110199},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.49627262353897095},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.49333134293556213},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3797867000102997},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3700942397117615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35889729857444763},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.1312461793422699},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08045437932014465},{"id":"https://openalex.org/C31903555","wikidata":"https://www.wikidata.org/wiki/Q1637030","display_name":"Food science","level":1,"score":0.0682118833065033},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1609/aaai.v38i7.28622","doi":"https://doi.org/10.1609/aaai.v38i7.28622","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i7.28622","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/28622/29208","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2401.07709","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2401.07709","pdf_url":"https://arxiv.org/pdf/2401.07709","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:ojs.aaai.org:article/28622","doi":null,"is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/28622","pdf_url":null,"source":{"id":"https://openalex.org/S4306400155","display_name":"AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801652627","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/I2801652627"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.2401.07709","doi":"https://doi.org/10.48550/arxiv.2401.07709","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2401.07709","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,"listed_in":[],"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"}],"best_oa_location":{"id":"doi:10.1609/aaai.v38i7.28622","doi":"https://doi.org/10.1609/aaai.v38i7.28622","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i7.28622","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/28622/29208","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-2","norway-1"],"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1271955826","display_name":"\u57fa\u4e8e\u5f31\u76d1\u7763\u5b66\u4e60\u7684\u673a\u8f7d\u5730/\u6d77\u5c0f\u76ee\u6807\u68c0\u6d4b\u7814\u7a76","funder_award_id":"62072387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1300220747","display_name":null,"funder_award_id":"62025603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1627692989","display_name":null,"funder_award_id":"2021J01002","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G1787173488","display_name":"\u9762\u5411\u6df1\u5ea6\u5b66\u4e60\u7684\u5bf9\u6297\u653b\u9632\u6280\u672f\u7814\u7a76","funder_award_id":"62072389","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G187639494","display_name":null,"funder_award_id":"No. 62025603","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G2564228358","display_name":null,"funder_award_id":"No. 62025603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2785666877","display_name":null,"funder_award_id":"62002305","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3181244293","display_name":null,"funder_award_id":"2022J06001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3568142893","display_name":null,"funder_award_id":"62272401","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G390962370","display_name":null,"funder_award_id":"2021J01002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5284885812","display_name":null,"funder_award_id":"62176222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6075090814","display_name":null,"funder_award_id":"62025603","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"},{"id":"https://openalex.org/G6727647225","display_name":null,"funder_award_id":"62176226","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G717600273","display_name":null,"funder_award_id":"U22B2051","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7220565969","display_name":null,"funder_award_id":"2022J06001","funder_id":"https://openalex.org/F4320321878","funder_display_name":"Natural Science Foundation of Fujian Province"},{"id":"https://openalex.org/G7272499820","display_name":null,"funder_award_id":"U21B2037","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7779606772","display_name":null,"funder_award_id":"62176223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8406165135","display_name":"\u9762\u5411\u56fe\u654f\u611f\u6df1\u5ea6\u5b66\u4e60\u7684\u7ed3\u6784\u5316\u8d85\u56fe\u7814\u7a76","funder_award_id":"62072386","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/F4320321878","display_name":"Natural Science Foundation of Fujian Province","ror":null},{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null},{"id":"https://openalex.org/F8142712028","display_name":"Key Research and Development Program of Zhejiang Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393156458.pdf","grobid_xml":"https://content.openalex.org/works/W4393156458.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1959608418","https://openalex.org/W2108598243","https://openalex.org/W2626778328","https://openalex.org/W2904367110","https://openalex.org/W2962785568","https://openalex.org/W2963966654","https://openalex.org/W2995327724","https://openalex.org/W3036167779","https://openalex.org/W3092442149","https://openalex.org/W3135367836","https://openalex.org/W3153469116","https://openalex.org/W3174194560","https://openalex.org/W3174807077","https://openalex.org/W3212616005","https://openalex.org/W3216352822","https://openalex.org/W4224035735","https://openalex.org/W4226125322","https://openalex.org/W4281485151","https://openalex.org/W4287029626","https://openalex.org/W4289785045","https://openalex.org/W4305033769","https://openalex.org/W4308163867","https://openalex.org/W4312497550","https://openalex.org/W4312931308","https://openalex.org/W4312933868","https://openalex.org/W4312946364","https://openalex.org/W4318203092","https://openalex.org/W4320013936","https://openalex.org/W4386057725","https://openalex.org/W4386113271","https://openalex.org/W4386180266","https://openalex.org/W4390872477"],"related_works":["https://openalex.org/W4378771069","https://openalex.org/W7125391131","https://openalex.org/W4393160345","https://openalex.org/W4399062221","https://openalex.org/W4318203092","https://openalex.org/W7160891296","https://openalex.org/W4403998260","https://openalex.org/W4402727249","https://openalex.org/W7115578670","https://openalex.org/W7083670939"],"abstract_inverted_index":{"Diffusion-based":[0],"Image":[1],"Editing":[2,60],"(DIE)":[3],"is":[4],"an":[5],"emerging":[6],"research":[7],"hot-spot,":[8],"which":[9],"often":[10],"applies":[11],"a":[12,45,101,128,161,189],"semantic":[13],"mask":[14,79,116,136],"to":[15,66,76,105,119,133,196],"control":[16],"the":[17,68,82,87,94,108,112,121,135,164,176],"target":[18],"area":[19],"for":[20,52,111],"diffusion-based":[21],"editing.":[22],"However,":[23],"most":[24],"existing":[25,73,122,143],"solutions":[26],"obtain":[27],"these":[28],"masks":[29],"via":[30],"manual":[31],"operations":[32],"or":[33],"off-line":[34],"processing,":[35],"greatly":[36],"reducing":[37],"their":[38],"efficiency.":[39],"In":[40,62],"this":[41],"paper,":[42],"we":[43,97,126,148],"propose":[44,127],"novel":[46],"and":[47,92,138,155,157,183],"efficient":[48],"image":[49,181],"editing":[50,140,184],"method":[51],"Text-to-Image":[53],"(T2I)":[54],"diffusion":[55,74,83],"models,":[56],"termed":[57],"Instant":[58],"Diffusion":[59],"(InstDiffEdit).":[61],"particular,":[63],"InstDiffEdit":[64,99,172],"aims":[65],"employ":[67],"cross-modal":[69],"attention":[70,90,109],"ability":[71,141],"of":[72,89,124,142,163],"models":[75],"achieve":[77],"instant":[78],"guidance":[80],"during":[81],"steps.":[84],"To":[85,145],"reduce":[86],"noise":[88],"maps":[91],"realize":[93],"full":[95],"automatics,":[96],"equip":[98],"with":[100,160],"training-free":[102],"refinement":[103],"scheme":[104],"adaptively":[106],"aggregate":[107],"distributions":[110],"automatic":[113],"yet":[114],"accurate":[115],"generation.":[117],"Meanwhile,":[118],"supplement":[120],"evaluations":[123],"DIE,":[125],"new":[129],"benchmark":[130],"called":[131],"Editing-Mask":[132],"examine":[134],"accuracy":[137],"local":[139],"methods.":[144,166],"validate":[146],"InstDiffEdit,":[147],"also":[149,187],"conduct":[150],"extensive":[151],"experiments":[152],"on":[153],"ImageNet":[154],"Imagen,":[156],"compare":[158],"it":[159],"bunch":[162],"SOTA":[165,177],"The":[167],"experimental":[168],"results":[169],"show":[170],"that":[171],"not":[173],"only":[174],"outperforms":[175],"methods":[178],"in":[179],"both":[180],"quality":[182],"results,":[185],"but":[186],"has":[188],"much":[190],"faster":[191],"inference":[192],"speed,":[193],"i.e.,":[194],"+5":[195],"+6":[197],"times.":[198],"Our":[199],"code":[200],"available":[201],"at":[202],"https://anonymous.4open.science/r/InstDiffEdit-C306":[203]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-03-26T00:00:00"}
