Comments (1)
MC-E
commented on June 25, 2024
Sorry for the late reply. A is learnable, capturing the degradation matrix through training data, as in [1] and [2].
[1] Deep Memory-Augmented Proximal Unrolling Network for Compressive Sensing
[2] Optimization-inspired compact deep compressive sensing
from deep-generalized-unfolding-networks-for-image-restoration.
Related Issues (11)
- I don't find the result of DGUNet on the DND benchmark HOT 3
- The model you provided failed to run
- Questions about the "RB" Block in the U-net architecture
- 训练流程 HOT 1
- Why training should be divided into python train.py python train_plus.py These two steps? HOT 1
- in the task of deraining, does it only take three days for both DGUNet and DGUNet+ networks to train on two NVIDIA Tesla V100 GPUs? HOT 1
- compressive sensing数据集与论文中有差异 HOT 2
- About Loss HOT 6
- 训练资源问题
- The training set for training compressive sensing task HOT 2
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from deep-generalized-unfolding-networks-for-image-restoration.