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)☆19Updated 2 years ago
- ☆24Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆66Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆24Updated 4 months ago
- Code for paper "Implicit Neural Spatial Representations for Time-dependent PDEs", ICML 2023☆44Updated last year
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆54Updated last year
- ☆15Updated 2 years ago
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆19Updated 11 months ago
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…☆19Updated last year
- 3-D elastic material simulation with Taichi using the Material Point Method (MPM)☆40Updated 4 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆26Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆40Updated last year
- This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation (IEEE T…☆21Updated 3 months ago
- MeshGraphNets (MGN)☆64Updated last year
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆24Updated 7 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- GPU-Accelerated Radial Basis Function (RBF) Interpolation in PyTorch☆32Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆43Updated last week
- [ICML 2022] NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields☆87Updated last year
- [ICML 2023] Non-Uniform Neural Operator (NUNO)☆25Updated last year
- Rewrite deepmind/meshgraphnets into pytorch☆88Updated 3 years ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆87Updated 6 months ago
- A 2D/3D FEM demo implemented by Taichi.☆13Updated last year
- [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds☆75Updated 2 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆41Updated 4 months ago
- ☆96Updated 4 months ago
- The pytorch implementation of the paper, "Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data" (SIGGRAPH 2022 https:…☆56Updated last year
- ☆61Updated last year
- Scale-invariant Learning by Physics Inversion (NeurIPS 2022)☆10Updated 2 years ago
- ☆24Updated 2 years ago