Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution

20 May 2024

Papers citing "Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution"

20 / 20 papers shown

Title
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration Yi-Tang Chen Haoyu Li Neng Shi Xihaier Luo Wei Xu Han-Wei Shen 114 1 0 01 Apr 2025
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning Pu Ren N. Benjamin Erichson Shashank Subramanian Omer San Z. Lukić Michael W. Mahoney Michael W. Mahoney 72 14 0 24 Jun 2023
Super-Resolution Neural Operator Min Wei Xuesong Zhang SupR 66 43 0 05 Mar 2023
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 155 628 0 22 Nov 2021
SwinIR: Image Restoration Using Swin Transformer Christos Sakaridis Jie Cao Guolei Sun Peng Sun Luc Van Gool Radu Timofte ViT 181 2,893 0 23 Aug 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 80 337 0 03 Aug 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 162 1,591 0 23 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 413 21,347 0 25 Mar 2021
Focal Frequency Loss for Image Reconstruction and Synthesis Liming Jiang Bo Dai Wayne Wu Chen Change Loy 91 279 0 23 Dec 2020
Learning Continuous Image Representation with Local Implicit Image Function Yinbo Chen Sifei Liu Xiaolong Wang SSL SupR CLL 74 671 0 16 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 468 2,384 0 18 Oct 2020
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 169 1,570 0 30 Sep 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 120 2,543 0 17 Jun 2020
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 210 2,108 0 08 Oct 2019
On the Spectral Bias of Neural Networks Nasim Rahaman A. Baratin Devansh Arpit Felix Dräxler Min Lin Fred Hamprecht Yoshua Bengio Aaron Courville 126 1,432 0 22 Jun 2018
Residual Dense Network for Image Super-Resolution Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Y. Fu SupR 138 3,312 0 24 Feb 2018
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 171 5,891 0 10 Jul 2017
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 314 5,218 0 16 Sep 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 104 6,179 0 14 Nov 2015
Image Super-Resolution Using Deep Convolutional Networks Chao Dong Chen Change Loy Kaiming He Xiaoou Tang SupR 136 8,066 0 31 Dec 2014