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Wooseok Lee

2 accepted papers

2022

AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network

CVPR 2022poster

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 practical assumptions like pixel-wise independent noise. Hence, it is challenging to deal with spatially correlated real-wor…

Cited by 159PDFcodeScholar
2021

C2N: Practical Generative Noise Modeling for Real-World Denoising

ICCV 2021poster

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 models, e.g., Gaussian. While recent generative noise modeling methods aim to simulate the unknown distribution of real-worl…

Cited by 108PDFcodeScholar