Physics-informed Deep Super-resolution for Spatiotemporal Data

2 August 2022

Yang Liu

Papers citing "Physics-informed Deep Super-resolution for Spatiotemporal Data"

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Title
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 60 14 0 24 Jun 2023
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao Sun AI4CE 73 29 0 28 Jan 2022
PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs Pu Ren Chengping Rao Yang Liu Jianxun Wang Hao Sun DiffM AI4CE 80 199 0 26 Jun 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 82 849 0 28 Jan 2021
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution Kelvin C. K. Chan Xintao Wang Xiangyu Xu Liang Feng Chen Change Loy 62 252 0 01 Dec 2020
Pre-Trained Image Processing Transformer Hanting Chen Yunhe Wang Tianyu Guo Chang Xu Yiping Deng Zhenhua Liu Siwei Ma Chunjing Xu Chao Xu Wen Gao VLM ViT 120 1,659 0 01 Dec 2020
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models Chulin Wang E. Bentivegna Wang Zhou L. Klein Bruce Elmegreen DiffM 34 32 0 04 Nov 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 390 2,355 0 18 Oct 2020
Transformers for Modeling Physical Systems N. Geneva N. Zabaras AI4CE 33 139 0 04 Oct 2020
Enhanced Quadratic Video Interpolation Yihao Liu Liangbin Xie Liu Siyao Wenxiu Sun Yu Qiao Chao Dong 46 84 0 10 Sep 2020
Physics informed deep learning for computational elastodynamics without labeled data Chengping Rao Hao Sun Yang Liu PINN AI4CE 37 223 0 10 Jun 2020
Learning Texture Transformer Network for Image Super-Resolution Fuzhi Yang Huan Yang Jianlong Fu Hongtao Lu B. Guo SupR ViT 52 719 0 07 Jun 2020
Physics-informed learning of governing equations from scarce data Zhao Chen Yang Liu Hao Sun PINN AI4CE 22 385 0 05 May 2020
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 216 141 0 01 May 2020
Neural Operator: Graph Kernel Network for Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar 92 718 0 07 Mar 2020
Turbulence Enrichment using Physics-informed Generative Adversarial Networks Akshay Subramaniam Man Long Wong Raunak Borker S. Nimmagadda S. Lele GAN AI4CE 62 38 0 04 Mar 2020
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution Xiaoyu Xiang Yapeng Tian Yulun Zhang Y. Fu J. Allebach Chenliang Xu SupR 24 170 0 26 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 126 42,038 0 03 Dec 2019
Using Physics-Informed Super-Resolution Generative Adversarial Networks for Subgrid Modeling in Turbulent Reactive Flows Mathis Bode M. Gauding Zeyu Lian D. Denker M. Davidovic K. Kleinheinz J. Jitsev H. Pitsch AI4CE 24 21 0 26 Nov 2019
Towards Physics-informed Deep Learning for Turbulent Flow Prediction Rui Wang K. Kashinath M. Mustafa A. Albert Rose Yu PINN AI4CE 21 361 0 20 Nov 2019
Quadratic video interpolation Xiangyu Xu Liu Siyao Wenxiu Sun Qian Yin Ming-Hsuan Yang 93 222 0 02 Nov 2019
Dynamic Upsampling of Smoke through Dictionary-based Learning Kai-Yi Bai Wei Li M. Desbrun Xiaopei Liu AI4CE 44 27 0 21 Oct 2019
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 132 2,082 0 08 Oct 2019
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Wenlong Zhang Yihao Liu Chao Dong Yu Qiao GAN 45 351 0 18 Aug 2019
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks N. Geneva N. Zabaras AI4CE 22 270 0 13 Jun 2019
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks Xintao Wang Kelvin C. K. Chan K. Yu Chao Dong Chen Change Loy SupR 46 1,008 0 07 May 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 63 860 0 18 Jan 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 39 546 0 30 Nov 2018
Wide Activation for Efficient and Accurate Image Super-Resolution Jiahui Yu Yuchen Fan Jianchao Yang N. Xu Zhaowen Wang Xinchao Wang Thomas Huang SupR 36 356 0 27 Aug 2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Y. Fu SupR 91 4,295 0 08 Jul 2018
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems Yun Long Xueyuan She Saibal Mukhopadhyay 34 58 0 19 Jun 2018
PhaseNet for Video Frame Interpolation Simone Schaub-Meyer Abdelaziz Djelouah Brian McWilliams A. Sorkine-Hornung Markus Gross Christopher Schroers 30 179 0 03 Apr 2018
Context-aware Synthesis for Video Frame Interpolation Simon Niklaus Feng Liu 63 408 0 29 Mar 2018
Frame-Recurrent Video Super-Resolution Mehdi S. M. Sajjadi Raviteja Vemulapalli Matthew A. Brown SupR 34 503 0 14 Jan 2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation Huaizu Jiang Deqing Sun Varun Jampani Ming-Hsuan Yang Erik Learned-Miller Jan Kautz 79 785 0 30 Nov 2017
PDE-Net: Learning PDEs from Data Zichao Long Yiping Lu Xianzhong Ma Bin Dong DiffM AI4CE 19 750 0 26 Oct 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 222 2,435 0 07 Sep 2017
Video Frame Interpolation via Adaptive Separable Convolution Simon Niklaus Long Mai Feng Liu 78 695 0 05 Aug 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 121 5,871 0 10 Jul 2017
Video Frame Synthesis using Deep Voxel Flow Ziwei Liu Raymond A. Yeh Xiaoou Tang Yiming Liu A. Agarwala 58 747 0 08 Feb 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 307 5,205 0 16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 215 10,646 0 15 Sep 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Tim Salimans Diederik P. Kingma ODL 132 1,933 0 25 Feb 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 85 6,164 0 14 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 440 7,952 0 13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 974 76,547 0 18 May 2015
Image Super-Resolution Using Deep Convolutional Networks Chao Dong Chen Change Loy Kaiming He Xiaoou Tang SupR 94 8,048 0 31 Dec 2014
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 583 149,474 0 22 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 255 20,467 0 10 Sep 2014
Generating Sequences With Recurrent Neural Networks Alex Graves GAN 85 4,025 0 04 Aug 2013