2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2026
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
Dongjin Kim, Donggoo Jung, Sungyong Baik +1
Noise poses a widespread challenge in signal processing, particularly when it comes to denoising images. Although convolutional neural networks (CNNs) have exhibited remarkable suc…
cs.CV2024★ 1 cited
LAN: Learning to Adapt Noise for Image Denoising
Changjin Kim, Tae Hyun Kim, Sungyong Baik
Removing noise from images, a.k.a image denoising, can be a very challenging task since the type and amount of noise can greatly vary for each image due to many factors including a…
cs.CV2024★ 2 cited
Deep Variational Bayesian Modeling of Haze Degradation Process
Eun Woo Im, Junsung Shin, Sungyong Baik +1
Relying on the representation power of neural networks, most recent works have often neglected several factors involved in haze degradation, such as transmission (the amount of lig…