360-Degree Image Completion by Two-Stage Conditional Gans

Naofumi Akimoto, Seito Kasai, Masaki Hayashi, Yoshimitsu Aoki

    研究成果: Conference contribution

    抜粋

    The latest generative adversarial networks (GANs) can generate realistic high resolution images. However, to the best of our knowledge, there are no GANs for generating 360-degree images. Therefore, this paper proposes the novel problem setting that by using a known area from the 360-degree image as an input, the remainder of the image can be completed with the GANs. To do so, we propose the approach of two-stage generation using network architecture with series-parallel dilated convolution layers. Moreover, we present how to rearrange images for data augmentation, simplify the problem, and make inputs for training the 2nd stage generator. Our experiments show that these methods generate the distortion seen in 360-degree images in the outlines of buildings and roads, and their boundaries are clearer than those of baseline methods. Furthermore, we discuss and clarify the difficulty of our proposed problem. Our work is the first step towards GANs predicting an unseen area within a 360-degree space.

    元の言語English
    ホスト出版物のタイトル2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
    出版者IEEE Computer Society
    ページ4704-4708
    ページ数5
    ISBN(電子版)9781538662496
    DOI
    出版物ステータスPublished - 2019 9
    イベント26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, Taiwan, Province of China
    継続期間: 2019 9 222019 9 25

    出版物シリーズ

    名前Proceedings - International Conference on Image Processing, ICIP
    2019-September
    ISSN(印刷物)1522-4880

    Conference

    Conference26th IEEE International Conference on Image Processing, ICIP 2019
    Taiwan, Province of China
    Taipei
    期間19/9/2219/9/25

    ASJC Scopus subject areas

    • Software
    • Computer Vision and Pattern Recognition
    • Signal Processing

    フィンガープリント 360-Degree Image Completion by Two-Stage Conditional Gans' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Akimoto, N., Kasai, S., Hayashi, M., & Aoki, Y. (2019). 360-Degree Image Completion by Two-Stage Conditional Gans. : 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings (pp. 4704-4708). [8803435] (Proceedings - International Conference on Image Processing, ICIP; 巻数 2019-September). IEEE Computer Society. https://doi.org/10.1109/ICIP.2019.8803435