JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting-Reference-Cited by-同舟云学术

JPGNet: Joint Predictive Filtering and Generative Network for Image Inpainting

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Multimedia
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Author:

Guo Qing¹,Li Xiaoguang²,Juefei-Xu Felix³,Yu Hongkai⁴,Liu Yang⁵,Wang Song²

Affiliation:

1. Tianjin University & Nanyang Technological University, Tianjin, China

2. University of South Carolina, Columbia, SC, USA

3. Alibaba Group, Sunnyvale, CA, USA

4. Cleveland State University, Cleveland, OH, USA

5. Nanyang Technological University & Zhejiang Sci-Tech University, Singapore, Singapore

Funder

Natural Science Foundation of Tianjin City

National Science Foundation of China

National Research Foundation, Prime Ministers Office, Singapore under its National Cybersecurity R&D Program

National Research Foundation through its National Satellite of Excellence in Trustworthy Software Systems (NSOE-TSS) project under the National Cybersecurity R&D (NCR)

National Research Foundation, Singapore

NRF Investigatorship

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474085.3475170

Reference43 articles.

1. Kernel-predicting convolutional networks for denoising Monte Carlo renderings;Bako Steve;ACM Trans. Graph.,2017

2. PatchMatch: A randomized correspondence algorithm for structural image editing;Barnes Connelly;ACM Trans. Graph.,2009

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