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Learning Dual-Level Deformable Implicit Representation for Real-World
  Scale Arbitrary Super-Resolution

Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution

16 March 2024
Zhiheng Li
Muheng Li
Jixuan Fan
Lei Chen
Yansong Tang
Jie Zhou
Jiwen Lu
    SupR
ArXivPDFHTML

Papers citing "Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution"

4 / 4 papers shown
Title
Super-Resolution Neural Operator
Super-Resolution Neural Operator
Min Wei
Xuesong Zhang
SupR
42
41
0
05 Mar 2023
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free
  Upsampling Module in Arbitrary-scale Image Super-Resolution
OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution
Gaochao Song
Luo Zhang
Ran Su
Jianfeng Shi
Yingchuan He
Qian Sun
SupR
52
13
0
02 Mar 2023
Local Implicit Grid Representations for 3D Scenes
Local Implicit Grid Representations for 3D Scenes
C. Jiang
Avneesh Sud
A. Makadia
Jingwei Huang
Matthias Nießner
Thomas Funkhouser
3DPC
240
558
0
19 Mar 2020
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
195
5,176
0
16 Sep 2016
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