{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235927","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235927","title":["ニューラル基底関数の精度向上に関する検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"90a8ebd2-a050-48e8-8a18-8f05dd1cf4d2"},"_deposit":{"id":"235927","pid":{"type":"depid","value":"235927","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ニューラル基底関数の精度向上に関する検討","author_link":["644743","644742"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラル基底関数の精度向上に関する検討"}]},"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":"2024-03-01","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":"和歌山大"},{"subitem_text_value":"埼玉大"}]},"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/235927/files/IPSJ-Z86-1P-03.pdf","label":"IPSJ-Z86-1P-03.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-1P-03.pdf","filesize":[{"value":"1.1 MB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"0f2a3a0f-31db-4362-b62c-f1497f356f29","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中, 滉季"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岩崎, 慶"}],"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":"リアルタイム3Dグラフィックス技術の一つにPrecomputed Radiance Transfer (PRT)がある．PRTに使用される一般的な基底関数にはそれぞれ制限がある．Xuらは基底関数の制限を回避し，レンダリングの計算に有効な特性を備えたニューラル基底関数を提案した．ニューラル基底関数は，2次元の球面関数(環境マップ，伝達関数)の情報を圧縮する表現ネットワークと，多重積の積分の特性を持つ計算ネットワークによって実現される．しかし，環境マップと伝達関数を同じ表現ネットワークを用いて学習を行っているため，精度の面で課題がある．本研究では，環境マップ用と伝達関数用の表現ネットワークに分けて学習を行い，レンダリングの精度向上を試みる．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"166","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"165","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235927,"updated":"2025-01-19T09:27:47.388094+00:00","links":{},"created":"2025-01-19T01:37:41.945145+00:00"}