7 citations · 9 across the 2 of their papers we have counts for
5 papers
Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks
Chanyong Jung, Gihyun Kwon, Jong Chul Ye
Recently, contrastive learning-based image translation methods have been proposed, which contrasts different spatial locations to enhance the spatial correspondence. However, the m…
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation
Gihyun Kwon, Jong Chul Ye
One of the important research topics in image generative models is to disentangle the spatial contents and styles for their separate control. Although StyleGAN can generate content…
Progressive Face Super-Resolution via Attention to Facial Landmark
Deokyun Kim, Minseon Kim, Gihyun Kwon +1
Face Super-Resolution (SR) is a subfield of the SR domain that specifically targets the reconstruction of face images. The main challenge of face SR is to restore essential facial…
Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Networks
Gihyun Kwon, Chihye Han, Dae-shik Kim
As deep learning is showing unprecedented success in medical image analysis tasks, the lack of sufficient medical data is emerging as a critical problem. While recent attempts to s…
Representation of White- and Black-Box Adversarial Examples in Deep Neural Networks and Humans: A Functional Magnetic Resonance Imaging Study
Chihye Han, Wonjun Yoon, Gihyun Kwon +2
The recent success of brain-inspired deep neural networks (DNNs) in solving complex, high-level visual tasks has led to rising expectations for their potential to match the human v…