A Coarse-to-Fine Deep Generative Model With Spatial Semantic Attention for High-Resolution Remote Sensing Image Inpainting
Author:
Affiliation:
1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, China
2. Beijing Institute of Space Mechanics and Electricity, Beijing, China
Funder
National Key Basic Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9633014/09757140.pdf?arnumber=9757140
Reference46 articles.
1. Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention
2. Edgeconnect: Generative image inpainting with adversarial edge learning;nazeri;Proc IEEE Int Conf Comput Vis (ICCV),2019
3. A generative image inpainting network based on the attention transfer network across layer mechanism
4. Aggregated contextual transformations for high-resolution image inpainting;zeng;arXiv 2104 01431,2021
5. New Inpainting Algorithm Based on Simplified Context Encoders and Multi-Scale Adversarial Network
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