80 citations · 83 across the 3 of their papers we have counts for
4 papers
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…
High Dynamic Range Imaging with Context-aware Transformer
Fangfang Zhou, Dan Zhang, Zhenming Fu
Avoiding the introduction of ghosts when synthesising LDR images as high dynamic range (HDR) images is a challenging task. Convolutional neural networks (CNNs) are effective for HD…
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…
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…