The official PyTorch code for RoHM: Robust Human Motion Reconstruction via Diffusion.

Fluid simulation engine for computer graphics applications

Instant neural graphics primitives: lightning fast NeRF and more

Official code for Inferring Hybrid Neural Fluid Fields from Videos (NeurIPS 2023)

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Hidden Fluid Mechanics

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

Welcome to the Physics-based Deep Learning Book (v0.2)

Enhancing spatial understanding in text-to-Image diffusion models

Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Learning in infinite dimension with neural operators.

This repository contains implementations and illustrative code to accompany DeepMind publications

A differentiable PDE solving framework for machine learning

Repo to the paper "Message Passing Neural PDE Solvers"

Using graph network to solve PDEs

# Unity游戏开发资源

Resources for Physics based simulation in Computer Graphics 图形学中物理模拟的资源整理

High-performance moving least squares material point method (MLS-MPM) solver. (ACM Transactions on Graphics, SIGGRAPH 2018)