Unleashing the power of self-supervised image denoising: A comprehensive review

D Zhang, F Zhou, F Albu, Y Wei, X Yang, Y Gu… - arXiv preprint arXiv …, 2023 - arxiv.org
The advent of deep learning has brought a revolutionary transformation to image denoising
techniques. However, the persistent challenge of acquiring noise-clean pairs for supervised …

TBSN: Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising

J Li, Z Zhang, W Zuo - arXiv preprint arXiv:2404.07846, 2024 - arxiv.org
Blind-spot networks (BSN) have been prevalent network architectures in self-supervised
image denoising (SSID). Existing BSNs are mostly conducted with convolution layers …

An overview of Self-Supervised Image Denoising

D Zhang - 2024 - researchsquare.com
The advent of deep learning has brought a revolutionary transformation to image denoising
techniques. The persistent challenge of acquiring noisy-clean pairs for supervised methods …

Towards Bringing Advanced Restoration Networks into Self-Supervised Image Denoising

J Li, Z Zhang, D Jiang, X ZHANG, W Zuo, Q Tian - openreview.net
Self-supervised image denoising (SSID) has witnessed significant progress in recent years.
Therein, most methods focus on exploring blind-spot techniques while only employing a …