Patch-Based Image Inpainting with Generative Adversarial Networks

03/20/2018
by   Ugur Demir, et al.
0

Area of image inpainting over relatively large missing regions recently advanced substantially through adaptation of dedicated deep neural networks. However, current network solutions still introduce undesired artifacts and noise to the repaired regions. We present an image inpainting method that is based on the celebrated generative adversarial network (GAN) framework. The proposed PGGAN method includes a discriminator network that combines a global GAN (G-GAN) architecture with a patchGAN approach. PGGAN first shares network layers between G-GAN and patchGAN, then splits paths to produce two adversarial losses that feed the generator network in order to capture both local continuity of image texture and pervasive global features in images. The proposed framework is evaluated extensively, and the results including comparison to recent state-of-the-art demonstrate that it achieves considerable improvements on both visual and quantitative evaluations.

READ FULL TEXT

page 18

page 21

page 22

page 23

page 24

page 26

page 27

page 28

research
12/31/2017

Deep Stacked Networks with Residual Polishing for Image Inpainting

Deep neural networks have shown promising results in image inpainting ev...
research
04/20/2022

DAM-GAN : Image Inpainting using Dynamic Attention Map based on Fake Texture Detection

Deep neural advancements have recently brought remarkable image synthesi...
research
01/15/2023

Inpainting borehole images using Generative Adversarial Networks

In this paper, we propose a GAN-based approach for gap filling in boreho...
research
08/19/2019

Boundless: Generative Adversarial Networks for Image Extension

Image extension models have broad applications in image editing, computa...
research
12/21/2017

Context-Aware Semantic Inpainting

Recently image inpainting has witnessed rapid progress due to generative...
research
10/14/2021

RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach

Diminished reality is a technology that aims to remove objects from vide...
research
10/18/2021

Continuation of Famous Art with AI: A Conditional Adversarial Network Inpainting Approach

Much of the state-of-the-art in image synthesis inspired by real artwork...

Please sign up or login with your details

Forgot password? Click here to reset