ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.04488
  4. Cited By
A Dynamic Residual Self-Attention Network for Lightweight Single Image
  Super-Resolution

A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution

8 December 2021
Karam Park
Jae Woong Soh
N. Cho
ArXivPDFHTML

Papers citing "A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution"

4 / 4 papers shown
Title
Image Super-Resolution with Taylor Expansion Approximation and Large
  Field Reception
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception
Jia Feng
Yuan Wang
Dianbo Sui
Fengchuang Xing
SupR
31
0
0
01 Aug 2024
Lightweight Image Super-Resolution with Information Multi-distillation
  Network
Lightweight Image Super-Resolution with Information Multi-distillation Network
Zheng Hui
Xinbo Gao
Yunchu Yang
Xiumei Wang
SupR
66
862
0
26 Sep 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
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
5,138
0
16 Sep 2016
1