{"id":188617,"updated":"2025-01-20T01:59:05.093692+00:00","links":{},"created":"2025-01-19T00:54:44.901530+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00188617","sets":["6504:9465:9481"]},"path":["9481"],"owner":"6748","recid":"188617","title":["パーツ分離型敵対的生成ネットワークによる髪型編集手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-03-13"},"_buckets":{"deposit":"59ba3777-4653-490d-a3ac-5631f60b3e1d"},"_deposit":{"id":"188617","pid":{"type":"depid","value":"188617","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"パーツ分離型敵対的生成ネットワークによる髪型編集手法","author_link":["428050","428049","428051"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"パーツ分離型敵対的生成ネットワークによる髪型編集手法"}]},"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":"2018-03-13","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":"早大"},{"subitem_text_value":"早大"},{"subitem_text_value":"早大"}]},"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/188617/files/IPSJ-Z80-6N-07.pdf","label":"IPSJ-Z80-6N-07.pdf"},"date":[{"dateType":"Available","dateValue":"2018-05-07"}],"format":"application/pdf","filename":"IPSJ-Z80-6N-07.pdf","filesize":[{"value":"615.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"739b171e-9977-441c-99ba-b879ef8a1b88","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"夏目, 亮太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"谷田川, 達也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"森島, 繁生"}],"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":"本研究は、深層学習による生成モデルであるVAEとGANを組み合わせて、顔写真上での髪型編集法を提案する。通常の生成モデルでは、顔写真全体を単一の潜在変数ベクトルから生成するが、提案法では顔領域と髪領域の両者に対応する二つの潜在変数ベクトルから顔画像を生成する。学習時は、顔写真を顔と髪の領域に分割したデータセットを用意し、二つのVAEが顔写真から顔領域、髪領域を抽出する。GANは二つのVAEの中間層に現れる潜在変数ベクトルから元の顔写真を復元する。このように顔、髪の領域に対応した潜在変数ベクトルを取り出したことで、他人の髪型の試着、色や長さといった外観の編集、類似顔、類似髪型検索などの多様な応用を一度に実現した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"208","bibliographic_titles":[{"bibliographic_title":"第80回全国大会講演論文集"}],"bibliographicPageStart":"207","bibliographicIssueDates":{"bibliographicIssueDate":"2018-03-13","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2018"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}