Attentive Fine-Grained Structured Sparsity for Image Restoration

Attentive Fine-Grained Structured Sparsity for Image Restoration

26 April 2022

Kyoung Mu Lee

Papers citing "Attentive Fine-Grained Structured Sparsity for Image Restoration"

8 / 8 papers shown

Title
Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks Chee Hong Kyoung Mu Lee SupR MQ 19 1 0 25 Jul 2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning Huan Wang Can Qin Yue Bai Yun Fu 32 20 0 12 Jan 2023
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution Chee Hong Sungyong Baik Heewon Kim Seungjun Nah Kyoung Mu Lee SupR MQ 23 32 0 21 Jul 2022
Clean Images are Hard to Reblur: Exploiting the Ill-Posed Inverse Task for Dynamic Scene Deblurring Seungjun Nah Sanghyun Son Jaerin Lee Kyoung Mu Lee 61 17 0 26 Apr 2021
SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation Sanghyun Son Kyoung Mu Lee 40 35 0 21 Apr 2021
Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks Itay Hubara Brian Chmiel Moshe Island Ron Banner S. Naor Daniel Soudry 44 110 0 16 Feb 2021
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang Ling Shao 125 1,450 0 04 Feb 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 190 5,173 0 16 Sep 2016