6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 6 cited
Rethinking Transformer-Based Blind-Spot Network for Self-Supervised Image Denoising
Junyi Li, Zhilu Zhang, Wangmeng Zuo
Blind-spot networks (BSN) have been prevalent neural architectures in self-supervised image denoising (SSID). However, most existing BSNs are conducted with convolution layers. Alt…
cs.CV2022★ 1 cited
Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones
Junyi Li, Xiaohe Wu, Zhenxing Niu +1
While significant progress has been made in deep video denoising, it remains very challenging for exploiting historical and future frames. Bidirectional recurrent networks (BiRNN)…
eess.IV2019★ 1 cited
KRNET: Image Denoising with Kernel Regulation Network
Peng Liu, Xiaoxiao Zhou, Junyiyang Li +2
One popular strategy for image denoising is to design a generalized regularization term that is capable of exploring the implicit prior underlying data observation. Convolutional n…