SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning

SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning

24 June 2023

N. Benjamin Erichson

Shashank Subramanian

Michael W. Mahoney

Michael W. Mahoney

Papers citing "SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning"

16 / 16 papers shown

Title
PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations Md Rakibul Hasan Pouria Behnoudfar Dan MacKinlay Thomas Poulet GAN 36 0 0 10 May 2025
How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation Haodong Feng Yue Wang Dixia Fan AI4CE 80 0 0 12 Dec 2024
MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling Zili Liu Hao Chen Lei Bai Wenyuan Li Wanli Ouyang Zhengxia Zou Zhenwei Shi Mamba 45 5 0 20 Aug 2024
ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations Vladislav Trifonov Alexander Rudikov Oleg Iliev Ivan V. Oseledets Ekaterina A. Muravleva Ekaterina Muravleva DiffM AI4CE 33 0 0 07 Jun 2024
Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution Xihaier Luo Xiaoning Qian Byung-Jun Yoon 42 3 0 20 May 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen Jialin Song Pu Ren Shashank Subramanian Dmitriy Morozov Michael W. Mahoney AI4CE 52 9 0 24 Feb 2024
Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method Zili Liu Hao Chen Lei Bai Wenyuan Li Keyan Chen Zhengyi Wang Wanli Ouyang Zhengxia Zou Z. Shi 49 4 0 22 Jan 2024
Neural Operators for Accelerating Scientific Simulations and Design Kamyar Azzizadenesheli Nikola B. Kovachki Zong-Yi Li Miguel Liu-Schiaffini Jean Kossaifi Anima Anandkumar AI4CE 41 122 0 27 Sep 2023
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning Sheikh Md Shakeel Hassan Arthur Feeney A. Dhruv Jih-Woon Kim Youngjoon Suh Jaiyoung Ryu Y. Won Aparna Chandramowlishwaran AI4CE 18 10 0 27 Jul 2023
Hitchhiker's Guide to Super-Resolution: Introduction and Recent Advances Brian B. Moser Federico Raue Stanislav Frolov Jörn Hees Sebastián M. Palacio Andreas Dengel 48 34 0 27 Sep 2022
SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning Christopher Yeh Chenlin Meng Sherrie Wang Anne Driscoll Erik Rozi Patrick Liu Jihyeon Janel Lee Marshall Burke David B. Lobell Stefano Ermon 64 56 0 08 Nov 2021
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 114 355 0 05 Oct 2021
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning Kai Fukami R. Maulik Nesar Ramachandra K. Fukagata Kunihiko Taira 47 143 0 03 Jan 2021
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 187 141 0 01 May 2020
Unsupervised Learning for Real-World Super-Resolution Andreas Lugmayr Martin Danelljan Radu Timofte SSL SupR 143 167 0 20 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 195 5,176 0 16 Sep 2016