• Optoelectronics Letters
  • Vol. 17, Issue 8, 507 (2021)
Sheng LIU*, Haohao CHENG, Shengyue HUANG, Kun JIN, and Huanran YE
Author Affiliations
  • College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
  • show less
    DOI: 10.1007/s11801-021-0201-8 Cite this Article
    LIU Sheng, CHENG Haohao, HUANG Shengyue, JIN Kun, YE Huanran. Fast event-inpainting based on lightweight generative adversarial nets[J]. Optoelectronics Letters, 2021, 17(8): 507 Copy Citation Text show less
    References

    [1] Gallego G., Rebecq H. and Scaramuzza D., A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and optical Flow Estimation, IEEE Conference on Computer Vision and Pattern Recognition, 2018.

    [2] Enrico C., Gemma T., Christopher A.E., Sophie S., Federico C., Luca L., Kynan E. and Tobi D., DHP19: Dynamic Vision Sensor 3D Human Pose Dataset, IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019.

    [3] Cedric S., Nick B. and Robert M., Continuous-Time Intensity Estimation Using Event Cameras, Asian Conference on Computer Vision, 308 (2018).

    [4] Kamyar N., Eric Ng, Tony J., Faisal Z. Qureshi and Mehran E., EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super- Resolution via End-to-End Adversarial Learning, IEEE Conference on Computer Vision and Pattern Recognition, 2020.

    [5] Jing-yuan Li, Ning Wang, Le-fei Zhang, Bo Du and Da-cheng Tao, Recurrent Feature Reasoning for Image Inpainting, IEEE Conference on Computer Vision and Pattern Recognition, 7760 (2020).

    [6] Yi W., Ying-cong C., Xin T. and Jia-ya J., VCNet: A Robust Approach to Blind Image Inpainting, IEEE Conference on Computer Vision and Pattern Recognition, 2020.

    [7] Ya-Liang Chang, Zhe Yu Liu, Kuan-Ying Lee and Winston Hsu, Free-Form Image Inpainting with Gated Convolution, International Conference on Computer Vision, 4470 (2019).

    [8] Chen Gao, Ayush Saraf, Jia-Bin Huang and Johannes Kopf, Flow-edge Guided Video Completion, European Conference on Computer Vision, 2020.

    [9] Alex Zihao Zhu, Dinesh T., Tolga O., Bernd P., Vijay K. and Kostas D., IEEE Robotics and Automation Letters 3, 2032 (2018).

    [10] Patrick L., Christoph P. and Tobi D., J Solid-State Circuits 43, 566 (2008).

    [11] Pini S., Borghi G. and Vezzani Ro., International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 4, 37 (2020).

    [12] Alex Zihao Zhu, Liang-zhe Yuan, Kenneth C. and Kostas D., EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras, Robotics: Science and Systems, 2018.

    [13] Kai-ming He, Xiang-yu Zhang, Shao-qing Ren and Jian Sun, Deep Residual Learning for Image Recognition, IEEE Conference on Computer Vision and Pattern Recognition, 770 (2016).

    [14] Dmitry U, Andera V and Victor L, Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis, IEEE Conference on Computer Vision and Pattern Recognition, 4105 (2017).

    [15] Phillip I., Jun-Yan Zhu, Ting-hui Zhou and Alexei A. E., Image-to-Image Translation with Conditional Adversarial Networks, IEEE Conference on Computer Vision and Pattern Recognition, 5967 (2017).

    [16] Miyato T., Kataoka T., Koyama M. and Yoshida Y., Spectral Normalization for Generative Adversarial Networks, International Conference on Learning Representations, 2018.

    [17] Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville and Yoshua Bengio, Generative Adversarial Nets, Annual Conference on Neural Information Processing Systems, 2672 (2014).

    [18] Johnson J, Alahi A and Fei-Fei L., Perceptual Losses for Real-Time Style Transfer and Super-Resolution, European Conference on Computer Vision, 694 (2016).

    [19] Leon A.G., Alexander S.E and Matthias B., Image Style Transfer Using Convolutional Neural Networks, IEEE Conference on Computer Vision and Pattern Recognition, 2414 (2016).

    [20] Kingma DP and Ba J., Adam: A Method for Stochastic Optimization, International Conference on Learning Representations, 2015.

    [21] Newell A., Yang K. and Deng J., Stacked Hourglass Networks for Human Pose Estimation, European Conference on Computer Vision, 483 (2016).

    LIU Sheng, CHENG Haohao, HUANG Shengyue, JIN Kun, YE Huanran. Fast event-inpainting based on lightweight generative adversarial nets[J]. Optoelectronics Letters, 2021, 17(8): 507
    Download Citation