{"id":233208,"updated":"2025-01-19T10:10:27.658491+00:00","links":{},"created":"2025-01-19T01:34:30.796131+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00233208","sets":["1164:3206:11566:11567"]},"path":["11567"],"owner":"44499","recid":"233208","title":["Human Facial Animation Retargeting by Unsupervised Neural Network"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-11"},"_buckets":{"deposit":"c2ad54a4-f500-4e84-bb33-1260507a6766"},"_deposit":{"id":"233208","pid":{"type":"depid","value":"233208","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Human Facial Animation Retargeting by Unsupervised Neural Network","author_link":["633005","633007","633008","633006"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Human Facial Animation Retargeting by Unsupervised Neural Network"},{"subitem_title":"Human Facial Animation Retargeting by Unsupervised Neural Network","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"スポットライト","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-03-11","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Tokyo Metropolitan University"},{"subitem_text_value":"Tokyo Metropolitan University"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Metropolitan University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"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/233208/files/IPSJ-CG24193007.pdf","label":"IPSJ-CG24193007.pdf"},"date":[{"dateType":"Available","dateValue":"2026-03-11"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CG24193007.pdf","filesize":[{"value":"3.4 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":"5310abbf-ba88-4049-a3fe-de41328ad812","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":"Yuhao, Dou"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tomohiko, Mukai"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuhao, Dou","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tomohiko, Mukai","creatorNameLang":"en"}],"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":"This research proposes an unsupervised facial retargeting method based on graph convolution networks and a variant of generative adversarial networks. Our insight is that animations of different face models can be represented by a common set of landmark points. To enable the down-sampling and up-sampling on the graph structure, we introduce graph pooling and graph unpooling using the landmark set. In the encoding stage, the graph pooling operator merges the several adjacent node features into a landmark node to compose the shared latent space. The latent code is decoded to reconstruct the face model by the graph unpooling in the decoding stage. Our approach enables retargeting animation between face models of different mesh topologies with unpaired data in the common latent space.","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This research proposes an unsupervised facial retargeting method based on graph convolution networks and a variant of generative adversarial networks. Our insight is that animations of different face models can be represented by a common set of landmark points. To enable the down-sampling and up-sampling on the graph structure, we introduce graph pooling and graph unpooling using the landmark set. In the encoding stage, the graph pooling operator merges the several adjacent node features into a landmark node to compose the shared latent space. The latent code is decoded to reconstruct the face model by the graph unpooling in the decoding stage. Our approach enables retargeting animation between face models of different mesh topologies with unpaired data in the common latent space.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"4","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":"2024-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"7","bibliographicVolumeNumber":"2024-CG-193"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}