{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00241062","sets":["1164:3206:11566:11793"]},"path":["11793"],"owner":"44499","recid":"241062","title":["撮影時の劣化過程を考慮したGaussian Splattingの超解像3次元復元に関する検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-11-22"},"_buckets":{"deposit":"61d202c8-8025-43f1-a440-122051cd2a8b"},"_deposit":{"id":"241062","pid":{"type":"depid","value":"241062","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"撮影時の劣化過程を考慮したGaussian Splattingの超解像3次元復元に関する検討","author_link":["663011","663010"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"撮影時の劣化過程を考慮したGaussian Splattingの超解像3次元復元に関する検討"}]},"item_type_id":"4","publish_date":"2024-11-22","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"株式会社NTTドコモ"},{"subitem_text_value":"株式会社NTTドコモ"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/241062/files/IPSJ-CG24196003.pdf","label":"IPSJ-CG24196003.pdf"},"date":[{"dateType":"Available","dateValue":"2026-11-22"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CG24196003.pdf","filesize":[{"value":"1.9 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"28"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"31a01b25-db87-425c-b648-4b5f8a677872","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"工藤, 忍"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山田, 渉"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10100541","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8949","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"NeRF や GS は撮影画像を超える品質の 3 次元モデルを再現することができず，特に撮影位置から遠い位置の物体は高周波数成分の復元精度が低下する．本問題に対して撮影画像に超解像技術を適用して高解像度化した画像を用いて学習する手法が提案されている．しかし，この手法では正則化に用いる低解像度レンダリング画像取得時の劣化過程を平均処理にしているため，入力画像の取得過程（真の劣化過程）が平均処理でない場合には復元精度が低下する．本稿では劣化過程モジュールを導入し，学習時に推定することで高精度な超解像 3 次元復元を可能にする．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータグラフィックスとビジュアル情報学（CG）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-11-22","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"2024-CG-196"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T07:45:21.238626+00:00","created":"2025-01-19T01:45:36.751740+00:00","links":{},"id":241062}