WebApr 28, 2024 · In this paper, we propose a Deep Generalized Unfolding Network (DGUNet) for image restoration. Concretely, without loss of interpretability, we integrate a gradient … WebarXiv.org e-Print archive
Deep Generalized Unfolding Networks for Image Restoration IEEE ...
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WebChong Mou, Qian Wang, Jian Zhang; Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, pp. 17399-17410. Abstract. Deep neural networks (DNN) have achieved great success in image restoration. However, most DNN methods are designed as a black box, lacking transparency and interpretability. … Weba Deep Generalized Unfolding Network (DGUNet) for im-age restoration. Concretely, without loss of interpretability, we integrate a gradient estimation strategy into the gradi-ent descent step of the Proximal Gradient Descent (PGD) algorithm, driving it to deal with complex and real-world image degradation. In addition, we design inter-stage in- WebGitHub, GitLab or BitBucket URL: * Official code from paper authors ... (DGUNet) for image restoration. Concretely, without loss of interpretability, we integrate a gradient estimation strategy into the gradient descent step of the Proximal Gradient Descent (PGD) algorithm, driving it to deal with complex and real-world image degradation. ... crypto rp