Exploring Frequency-Inspired Optimization in Transformer for Efficient
Single Image Super-Resolution

Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution

9 August 2023

Le Zhang

Papers citing "Exploring Frequency-Inspired Optimization in Transformer for Efficient Single Image Super-Resolution"

7 / 7 papers shown

Title
A Physics-Informed Deep Learning Model for MRI Brain Motion Correction Mojtaba Safari Shansong Wang Zach Eidex Richard L. J. Qiu Chih-Wei Chang D. Yu Xiaofeng Yang 80 0 0 13 Feb 2025
Partial Large Kernel CNNs for Efficient Super-Resolution Dongheon Lee Seokju Yun Youngmin Ro SupR 26 0 0 18 Apr 2024
Training Transformer Models by Wavelet Losses Improves Quantitative and Visual Performance in Single Image Super-Resolution Cansu Korkmaz A. Murat Tekalp ViT 36 6 0 17 Apr 2024
LIPT: Latency-aware Image Processing Transformer Junbo Qiao Wei Li Haizhen Xie Hanting Chen Yunshuai Zhou Zhijun Tu Jie Hu Shaohui Lin SupR VLM 37 1 0 09 Apr 2024
DRCT: Saving Image Super-resolution away from Information Bottleneck Chih-Chung Hsu Chia-Ming Lee Yi-Shiuan Chou 24 28 0 31 Mar 2024
Lightweight Image Super-Resolution with Information Multi-distillation Network Zheng Hui Xinbo Gao Yunchu Yang Xiumei Wang SupR 66 862 0 26 Sep 2019
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 186 5,138 0 16 Sep 2016