PEIPNet: Parametric Efficient Image-Inpainting Network with Depthwise and Pointwise Convolution

PEIPNet: Parametric Efficient Image-Inpainting Network with Depthwise and Pointwise Convolution

Research on image-inpainting tasks has mainly focused on enhancing performance by augmenting various stages and modules. However, this trend does not consider the increase in the number of model parameters and operational memory, which increases the burden on computational resources. To solve this p...

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Bibliographic Details
Main Authors: Jaekyun Ko, Wanuk Choi, Sanghwan Lee
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Sensors
Subjects:
image inpainting
generative adversarial networks (GANs)
lightweight architecture
conditional normalization
dilated convolution
dense block
Online Access:https://www.mdpi.com/1424-8220/23/19/8313

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https://www.mdpi.com/1424-8220/23/19/8313

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