{"created":"2025-01-19T01:29:24.107697+00:00","updated":"2025-01-19T11:21:15.353661+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229940","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"229940","title":["Stable DiffusionとGHOSTを用いたプライバシー保護のための顔変換システムの提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"f591e298-7c1f-498e-aff3-c4108a0afc55"},"_deposit":{"id":"229940","pid":{"type":"depid","value":"229940","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Stable DiffusionとGHOSTを用いたプライバシー保護のための顔変換システムの提案","author_link":["618594","618593","618592","618591"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Stable DiffusionとGHOSTを用いたプライバシー保護のための顔変換システムの提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"湘南工科大"},{"subitem_text_value":"湘南工科大"},{"subitem_text_value":"湘南工科大"},{"subitem_text_value":"湘南工科大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/229940/files/IPSJ-Z85-1R-02.pdf","label":"IPSJ-Z85-1R-02.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-1R-02.pdf","filesize":[{"value":"729.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"b06a7ba1-b026-4d62-9412-c49fde7f6ca1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"池田, 麻輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"二宮, 洋"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"シェヘラザード, マハブービ"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山富, 龍"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では，匿名性のある顔置き換えシステムとして，ディープフェイク技術であるGenerative High-fidelity One Shot Transfer(GHOST)とテキストから画像を生成するStable Diffusionを組み合わせた顔変換システムを提案する．ディープフェイクはターゲットの顔をソースの顔に入れ替えるシステムであり，ターゲットとソースは画像や動画である．ディープフェイクは実在する人物同士で顔を変換するため，プライバシーに問題がある．本システムでは，ソース画像をStable Diffusionにより実在しない人物の画像を生成することで，ターゲット画像のみでの変換が実現した．それにより，画像，動画に写った人物の顔を，実在しない人物の顔に変換する事で，匿名性を保持しつつ，従来のぼかしやモザイク処理よりもターゲットの状況をリアルに表現された画像及び動画を生成することが可能となった．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"286","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"285","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229940,"links":{}}