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Distortion-Resilient DIBR for Novel View Synthesis from a Single Image

研究成果: Conference contribution

抄録

It is challenging to render novel views from a single image input due to inherent ambiguities in the geometry and texture information of the desired scene. As a consequence, existing methods often encounter various types of distortions in synthesized views. To this end, we propose a distortion-resilient Depth-Image-Based Rendering (DIBR) method for synthesizing novel views given a single image input. The proposed method is qualitatively and quantitatively evaluated on the Real-Estate 10K dataset, showing superior results compared to baselines.

本文言語English
ホスト出版物のタイトルInformation and Communication Technology - 13th International Symposium, SOICT 2024, Proceedings
編集者Wray Buntine, Morten Fjeld, Truyen Tran, Minh-Triet Tran, Binh Huynh Thi Thanh, Takumi Miyoshi
出版社Springer Science and Business Media Deutschland GmbH
ページ287-297
ページ数11
ISBN(印刷版)9789819642816
DOI
出版ステータスPublished - 2025
イベント13th International Symposium on Information and Communication Technology, SOICT 2024 - Danang, Viet Nam
継続期間: 2024 12月 132024 12月 15

出版物シリーズ

名前Communications in Computer and Information Science
2350 CCIS
ISSN(印刷版)1865-0929
ISSN(電子版)1865-0937

Conference

Conference13th International Symposium on Information and Communication Technology, SOICT 2024
国/地域Viet Nam
CityDanang
Period24/12/1324/12/15

ASJC Scopus subject areas

  • コンピュータサイエンス一般
  • 数学一般

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