Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian
Regularizer

Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer

10 September 2024

Seyed Alireza Hosseini

Yuichi Tanaka

Papers citing "Constructing an Interpretable Deep Denoiser by Unrolling Graph Laplacian Regularizer"

5 / 5 papers shown

Title
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer Yeganeh Gharedaghi Gene Cheung Xianming Liu 18 5 0 05 Jul 2023
Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention Tam Thuc Do P. Chou Gene Cheung 3DPC 44 4 0 01 Apr 2023
Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment Cheng Yang Gene Cheung Wei Hu 35 24 0 15 Jun 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 100 1,021 0 22 Dec 2019
Graph-Based Blind Image Deblurring From a Single Photograph Yuanchao Bai Gene Cheung Xianming Liu Wen Gao 40 154 0 22 Feb 2018