97 citations · 290 across the 24 of their papers we have counts for
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Spatial-Spectral Transformer for Hyperspectral Image Denoising
Miaoyu Li, Ying Fu, Yulun Zhang
Hyperspectral image (HSI) denoising is a crucial preprocessing procedure for the subsequent HSI applications. Unfortunately, though witnessing the development of deep learning in H…
Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising
Zeqiang Lai, Ying Fu
Hyperspectral image is unique and useful for its abundant spectral bands, but it subsequently requires extra elaborated treatments of the spatial-spectral correlation as well as th…
Deep Plug-and-Play Prior for Hyperspectral Image Restoration
Zeqiang Lai, Kaixuan Wei, Ying Fu
Deep-learning-based hyperspectral image (HSI) restoration methods have gained great popularity for their remarkable performance but often demand expensive network retraining whenev…
ProbNVS: Fast Novel View Synthesis with Learned Probability-Guided Sampling
Yuemei Zhou, Tao Yu, Zerong Zheng +2
Existing state-of-the-art novel view synthesis methods rely on either fairly accurate 3D geometry estimation or sampling of the entire space for neural volumetric rendering, which…
Estimating Fine-Grained Noise Model via Contrastive Learning
Yunhao Zou, Ying Fu
Image denoising has achieved unprecedented progress as great efforts have been made to exploit effective deep denoisers. To improve the denoising performance in realworld, two typi…