120 citations · 229 across the 7 of their papers we have counts for
5 papers · 1 filter
Image Generation with Self Pixel-wise Normalization
Yoon-Jae Yeo, Min-Cheol Sagong, Seung Park +2
Region-adaptive normalization (RAN) methods have been widely used in the generative adversarial network (GAN)-based image-to-image translation technique. However, since these appro…
Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention
Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung +1
Convolutional neural networks (CNNs) have been not only widespread but also achieved noticeable results on numerous applications including image classification, restoration, and ge…
PConv: Simple yet Effective Convolutional Layer for Generative Adversarial Network
Seung Park, Yoon-Jae Yeo, Yong-Goo Shin
This paper presents a novel convolutional layer, called perturbed convolution (PConv), which focuses on achieving two goals simultaneously: improving the generative adversarial net…
cGANs with Conditional Convolution Layer
Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo +2
Conditional generative adversarial networks (cGANs) have been widely researched to generate class conditional images using a single generator. However, in the conventional cGANs te…
PEPSI++: Fast and Lightweight Network for Image Inpainting
Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo +2
Among the various generative adversarial network (GAN)-based image inpainting methods, a coarse-to-fine network with a contextual attention module (CAM) has shown remarkable perfor…