48 citations · 78 across the 8 of their papers we have counts for
10 papers · 1 filter
CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image
Reyhaneh Neshatavar, Mohsen Yavartanoo, Sanghyun Son +1
Recently, significant progress has been made on image denoising with strong supervision from large-scale datasets. However, obtaining well-aligned noisy-clean training image pairs…
AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network
Wooseok Lee, Sanghyun Son, Kyoung Mu Lee
Blind-spot network (BSN) and its variants have made significant advances in self-supervised denoising. Nevertheless, they are still bound to synthetic noisy inputs due to less prac…
C2N: Practical Generative Noise Modeling for Real-World Denoising
Geonwoon Jang, Wooseok Lee, Sanghyun Son +1
Learning-based image denoising methods have been bounded to situations where well-aligned noisy and clean images are given, or samples are synthesized from predetermined noise mode…
NTIRE 2021 Challenge on Video Super-Resolution
Sanghyun Son, Suyoung Lee, Seungjun Nah +2
Super-Resolution (SR) is a fundamental computer vision task that aims to obtain a high-resolution clean image from the given low-resolution counterpart. This paper reviews the NTIR…
NTIRE 2021 Challenge on Image Deblurring
Seungjun Nah, Sanghyun Son, Suyoung Lee +2
Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge o…
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation
Sanghyun Son, Kyoung Mu Lee
Deep CNNs have achieved significant successes in image processing and its applications, including single image super-resolution (SR). However, conventional methods still resort to…