erizmr / Learn-to-Estimate-Fluid-MotionLinks
[ICML 2022] Learning to Estimate and Refine Fluid Motion with Physical Dynamics
☆23Updated 2 years ago
Alternatives and similar repositories for Learn-to-Estimate-Fluid-Motion
Users that are interested in Learn-to-Estimate-Fluid-Motion are comparing it to the libraries listed below
Sorting:
- Code for paper: Learning Vortex Dynamics for Fluid Inference and Prediction (ICLR 2023)☆20Updated 2 years ago
- Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023☆49Updated last year
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆56Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆71Updated last year
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆28Updated last year
- ☆24Updated 2 years ago
- [ICML 2022] NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields☆87Updated last year
- This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation (IEEE T…☆21Updated 5 months ago
- ☆15Updated 2 years ago
- Main repo for GIOROM☆15Updated last month
- ☆68Updated 2 years ago
- GPU-Accelerated Radial Basis Function (RBF) Interpolation in PyTorch☆37Updated last month
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆27Updated 6 months ago
- Differentiable Material Point Method☆36Updated 2 years ago
- ☆62Updated last year
- [NeurIPS 2024] AFBench: A Large-scale Benchmark for Airfoil Design☆28Updated 11 months ago
- ☆58Updated last year
- Polynomial Neural Fields for Subband Decomposition and Manipulation☆58Updated 2 years ago
- MeshGraphNets (MGN)☆67Updated last year
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…☆19Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- ☆97Updated 6 months ago
- 3-D elastic material simulation with Taichi using the Material Point Method (MPM)☆42Updated 4 years ago
- [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds☆76Updated 2 years ago
- [AAAI 2023] Physics-Informed Cell Representations☆35Updated 2 years ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆95Updated 4 years ago
- Graph Network Simulator☆176Updated 4 months ago
- The pytorch implementation of the paper, "Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data" (SIGGRAPH 2022 https:…☆55Updated last year
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆19Updated last year
- [ICML 2023] Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics☆128Updated 2 years ago