N-Gram in Swin Transformers for Efficient Lightweight Image
Super-Resolution

v1v2v3 (latest)

N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution

21 November 2022

ArXiv (abs)PDF HTML Github (81★)

Papers citing "N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution"

7 / 7 papers shown

Title
Dual-domain Modulation Network for Lightweight Image Super-Resolution Wenjie Li Heng Guo Yuefeng Hou Guangwei Gao Zhanyu Ma SupR 90 1 0 13 Mar 2025
HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution Xiang Zhang Yulun Zhang Fisher Yu 88 23 0 08 Jul 2024
Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution Long Peng Yang Cao Renjing Pei Wenbo Li Jiaming Guo Xueyang Fu Yang Wang Zheng-Jun Zha 104 13 0 11 May 2024
Revisiting N-Gram Models: Their Impact in Modern Neural Networks for Handwritten Text Recognition Solène Tarride Christopher Kermorvant 72 1 0 30 Apr 2024
Reciprocal Attention Mixing Transformer for Lightweight Image Restoration Haram Choi Cheolwoong Na Jihyeon Oh Seungjae Lee Jinseop S. Kim Subeen Choe Jeongmin Lee Taehoon Kim Jihoon Yang 107 9 0 19 May 2023
Efficient Mixed Transformer for Single Image Super-Resolution Ling Zheng Jinchen Zhu Jinpeng Shi Shizhuang Weng 119 22 0 19 May 2023
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network Wenjie Li Juncheng Li Guangwei Gao Weihong Deng Jian Yang Guo-Jun Qi Chia-Wen Lin SupR 82 12 0 29 Dec 2022

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.