Inpainting Computational Fluid Dynamics with Deep Learning

Inpainting Computational Fluid Dynamics with Deep Learning

27 February 2024

Papers citing "Inpainting Computational Fluid Dynamics with Deep Learning"

11 / 11 papers shown

Title
Transformer for Partial Differential Equations' Operator Learning Zijie Li Kazem Meidani A. Farimani 59 152 0 26 May 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 55 30,021 0 01 Mar 2022
Physics-Informed Neural Operator for Learning Partial Differential Equations Zong-Yi Li Hongkai Zheng Nikola B. Kovachki David Jin Haoxuan Chen Burigede Liu Kamyar Azizzadenesheli Anima Anandkumar AI4CE 71 399 0 06 Nov 2021
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction Filipe de Avila Belbute-Peres T. Economon J. Zico Kolter AI4CE 64 229 0 08 Jul 2020
Learning Texture Transformer Network for Image Super-Resolution Fuzhi Yang Huan Yang Jianlong Fu Hongtao Lu B. Guo SupR ViT 50 719 0 07 Jun 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 56 42,038 0 03 Dec 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 450 10,466 0 12 Dec 2018
Neural Discrete Representation Learning Aaron van den Oord Oriol Vinyals Koray Kavukcuoglu BDL SSL OCL 135 4,928 0 02 Nov 2017
Semantic Scene Completion from a Single Depth Image Shuran Song Feng Yu Andy Zeng Angel X. Chang Manolis Savva Thomas Funkhouser 3DV 45 1,235 0 28 Nov 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 147 10,202 0 27 Mar 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 429 99,991 0 04 Sep 2014

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