32 citations · 80 across the 6 of their papers we have counts for
6 papers
Unpaired Image-to-Image Translation via Neural Schrödinger Bridge
Beomsu Kim, Gihyun Kwon, Kwanyoung Kim +1
Diffusion models are a powerful class of generative models which simulate stochastic differential equations (SDEs) to generate data from noise. While diffusion models have achieved…
ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts
Kwanyoung Kim, Yujin Oh, Jong Chul Ye
Recent success of large-scale Contrastive Language-Image Pre-training (CLIP) has led to great promise in zero-shot semantic segmentation by transferring image-text aligned knowledg…
Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching
Kwanyoung Kim, Taesung Kwon, Jong Chul Ye
Tweedie distributions are a special case of exponential dispersion models, which are often used in classical statistics as distributions for generalized linear models. Here, we rev…
Noise2Score: Tweedie's Approach to Self-Supervised Image Denoising without Clean Images
Kwanyoung Kim, Jong Chul Ye
Recently, there has been extensive research interest in training deep networks to denoise images without clean reference. However, the representative approaches such as Noise2Noise…
Task-Aware Variational Adversarial Active Learning
Kwanyoung Kim, Dongwon Park, Kwang In Kim +1
Often, labeling large amount of data is challenging due to high labeling cost limiting the application domain of deep learning techniques. Active learning (AL) tackles this by quer…
SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network
Kwanyoung Kim, Se Young Chun
Deep learning based single image super-resolution (SR) methods have been rapidly evolved over the past few years and have yielded state-of-the-art performances over conventional me…