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Inpainting and Denoising Challenges

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Cover of 'Inpainting and Denoising Challenges'

Table of Contents

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    Book Overview
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    Chapter 1 A Brief Review of Image Denoising Algorithms and Beyond
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    Chapter 2 ChaLearn Looking at People: Inpainting and Denoising Challenges
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    Chapter 3 U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting
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    Chapter 4 FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-net Based Convolutional Neural Networks
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    Chapter 5 Iterative Application of Autoencoders for Video Inpainting and Fingerprint Denoising
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    Chapter 6 Video DeCaptioning Using U-Net with Stacked Dilated Convolutional Layers
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    Chapter 7 Joint Caption Detection and Inpainting Using Generative Network
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    Chapter 8 Generative Image Inpainting for Person Pose Generation
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    Chapter 9 Person Inpainting with Generative Adversarial Networks
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    Chapter 10 Road Layout Understanding by Generative Adversarial Inpainting
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    Chapter 11 Photo-Realistic and Robust Inpainting of Faces Using Refinement GANs
Attention for Chapter 9: Person Inpainting with Generative Adversarial Networks
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