erizmr / Learn-to-Estimate-Fluid-MotionLinks
[ICML 2022] Learning to Estimate and Refine Fluid Motion with Physical Dynamics
☆23Updated 3 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☆47Updated 2 years ago
- GPU-Accelerated Radial Basis Function (RBF) Interpolation in PyTorch☆41Updated 4 months ago
- [ICML 2022] NeuroFluid: Fluid Dynamics Grounding with Particle-Driven Neural Radiance Fields☆87Updated 2 years ago
- [ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifolds☆77Updated 3 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Updated last year
- Main repo for GIOROM☆17Updated 2 months ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Updated last year
- Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)☆59Updated last year
- Differentiable Material Point Method☆41Updated 2 years ago
- numerical optimization in pytorch☆139Updated last year
- ☆66Updated 2 years ago
- ☆70Updated 2 years ago
- 3-D elastic material simulation with Taichi using the Material Point Method (MPM)☆44Updated 4 years ago
- ☆24Updated 2 years ago
- ☆15Updated 2 years ago
- [ICML 2023] Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics☆142Updated 2 years ago
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…☆20Updated 2 years ago
- Official code for Inferring Hybrid Neural Fluid Fields from Videos (NeurIPS 2023)☆58Updated 2 years ago
- This repository contains the code for the paper: Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation (IEEE T…☆21Updated 9 months ago
- [NeurIPS 2024] AFBench: A Large-scale Benchmark for Airfoil Design☆30Updated last year
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆19Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆29Updated last week
- ☆61Updated last year
- Code of the CVPR 2024 paper "Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models"☆14Updated 8 months ago
- Trading Positional Complexity vs Deepness in Coordinate Networks☆31Updated 2 years ago
- ☆98Updated 10 months ago
- Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.☆96Updated 4 years ago
- Polynomial Neural Fields for Subband Decomposition and Manipulation☆58Updated 2 years ago
- The pytorch implementation of the paper, "Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data" (SIGGRAPH 2022 https:…☆59Updated 2 years ago