30 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
4 papers
Effective Shortcut Technique for GAN
Seung Park, Cheol-Hwan Yoo, Yong-Goo Shin
In recent years, generative adversarial network (GAN)-based image generation techniques design their generators by stacking up multiple residual blocks. The residual block generall…
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…
Generative Convolution Layer for Image Generation
Seung Park, Yong-Goo Shin
This paper introduces a novel convolution method, called generative convolution (GConv), which is simple yet effective for improving the generative adversarial network (GAN) perfor…
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…