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07/07/2023
Towards Robust SDRTV-to-HDRTV via Dual Inverse Degradation Network
Recently, the transformation of standard dynamic range TV (SDRTV) to hig...
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07/13/2022
Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling
Low-light raw denoising is an important and valuable task in computation...
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06/08/2022
Robust Deep Ensemble Method for Real-world Image Denoising
Recently, deep learning-based image denoising methods have achieved prom...
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12/30/2020
NBNet: Noise Basis Learning for Image Denoising with Subspace Projection
In this paper, we introduce NBNet, a novel framework for image denoising...
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10/14/2020
Practical Deep Raw Image Denoising on Mobile Devices
Deep learning-based image denoising approaches have been extensively stu...
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04/29/2019
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation
In this paper, we present new data pre-processing and augmentation techn...
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06/22/2017
Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks
Quantized Neural Networks (QNNs), which use low bitwidth numbers for rep...
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04/11/2017