80 citations · 83 across the 2 of their papers we have counts for
3 papers
eess.IV2023
Unleashing the Power of Self-Supervised Image Denoising: A Comprehensive Review
Dan Zhang, Fangfang Zhou, Felix Albu +4
The advent of deep learning has brought a revolutionary transformation to image denoising techniques. However, the persistent challenge of acquiring noise-clean pairs for supervise…
cs.CV2023★ 3 cited
MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot Network
Dan Zhang, Fangfang Zhou, Yuwen Jiang +1
Recent advances in deep learning have been pushing image denoising techniques to a new level. In self-supervised image denoising, blind-spot network (BSN) is one of the most common…
cs.CV2023★ 80 cited
Self-Supervised Image Denoising for Real-World Images with Context-aware Transformer
Dan Zhang, Fangfang Zhou
In recent years, the development of deep learning has been pushing image denoising to a new level. Among them, self-supervised denoising is increasingly popular because it does not…