Tags

Following is a list of relevant tags:

Accelerate

• Efficient BVH-based Collision Detection Scheme with Ordering and Restructuring

Acceleration

• Accelerated Quadratic Proxy for Geometric Optimization
• A GPU-Based Multilevel Additive Schwarz Preconditioner for Cloth and Deformable Body Simulation

Advection

• FlowFixer: Using BFECC for Fluid Simulation

BVH

• Efficient BVH-based Collision Detection Scheme with Ordering and Restructuring

Cloth

• Second-Order Finite Elements for Deformable Surfaces
• DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact

Collision

• Elasto Monolith: A Monolithic Optimization-based Liquid Solver for Contact-Aware Elastic-Solid Coupling
• Efficient and Accurate Collision Response for Elastically Deformable Models
• Incremental Potential Contact: Intersection- and Inversion-free, Large-Deformation Dynamics

Collision Handling

• Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?

Contact Modeling

• Single-Level Differentiable Contact Simulation

Control

• Differentiable Optimal Control for Retargeting Motions onto Legged Robots

Deep Learning

• A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
• Modeling the pressure-Hessian tensor using deep neural networks
• DeepONet: Learning Nonlinear Operators for Identifying Differential Equations Based on the Universal Approximation Theorem of Operators

Design Optimization

• 23-Interactive-Design-of-2D-car-profiles-with-aerodynamic-feedback

Differentiable Rendering

• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Differentiable Simulaation

• Differentiable Fluids with Solid Coupling for Learning and Control

Differentiable Simulation

• Rethinking Optimization with Differentiable Simulation from a Global Perspective
• Differentiable Position-Based Simulation of Compliant Constraint Dynamics
• DiffTaichi: Differentiable Programming For Physical Simulation
• ∇Sim: Differentiable simulation for system identification and visuomotor control
• Efficient Differentiable Simulation of Articulated Bodies
• Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?
• ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
• Single-Level Differentiable Contact Simulation
• Differentiable Simulation of Soft Multi-body Systems
• Primal/Dual Descent Methods for Dynamics
• A Linear and Angular Momentum Conserving Hybrid Particle/Grid Iteration for Volumetric Elastic Contact
• Differentiable Optimal Control for Retargeting Motions onto Legged Robots
• DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
• Real2Sim: Visco-elastic parameter estimation from dynamic motion
• ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact
• DiffPD: Differentiable Projective Dynamics
• Fluidic Topology Optimization with an Anisotropic Mixture Model
• Differentiable Simulation

Domain Decomposition

• Decomposed Optimization Time Integrator for Large-Step Elastodynamics

FEM

• Convergent Incremental Potential Contact
• Robust Quasistatic Finite Elements and Flesh Simulation
• Second-Order Finite Elements for Deformable Surfaces
• High-Order Incremental Potential Contact for Elastodynamic Simulation on Curved Meshes

FSI

• Differentiable Fluids with Solid Coupling for Learning and Control
• Elasto Monolith: A Monolithic Optimization-based Liquid Solver for Contact-Aware Elastic-Solid Coupling
• IQ-MPM: An Interface Quadrature Material Point Method for Non-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids
• Hydrophobic and Hydrophilic Solid-Fluid Interaction
• Fast and Versatile Fluid-Solid Coupling for Turbulent Flow Simulation

FVM

• FlowFixer: Using BFECC for Fluid Simulation
• Elasto Monolith: A Monolithic Optimization-based Liquid Solver for Contact-Aware Elastic-Solid Coupling

First-Order Methods

• Accelerated Quadratic Proxy for Geometric Optimization

Fisher information matrix

• Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Fluid

• FlowFixer: Using BFECC for Fluid Simulation
• Fluidic Topology Optimization with an Anisotropic Mixture Model

Fluids

• IQ-MPM: An Interface Quadrature Material Point Method for Non-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids

Fluid​​

• Affine Particle-In-Cell Method

Frictional Contact

• DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
• ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact

GPU

• Penetration-free Projective Dynamics on the GPU
• Second-order Stencil Descent for Interior-point Hyperelasticity
• A GPU-Based Multilevel Additive Schwarz Preconditioner for Cloth and Deformable Body Simulation

Geometry Optimization

• Blended Cured Quasi-Newton for Distortion Optimization

Hessian Approximation

• Fast Approximation of Rotations and Hessian Matrices
• Sliced Score Matching: A Scalable Approach to Density and Score Estimation

Hyperelastic

• An Optimization-based SPH Solver for Simulation of Hyperelastic Solids

Hyperelasticity

• An Optimization-based SPH Solver for Simulation of Hyperelastic Solids
• Second-order Stencil Descent for Interior-point Hyperelasticity
• Blended Cured Quasi-Newton for Distortion Optimization

IPC

• Convergent Incremental Potential Contact
• BFEMP: Interpenetration-Free MPM-FEM Coupling with Barrier Contact
• Incremental Potential Contact: Intersection- and Inversion-free, Large-Deformation Dynamics
• Codimensional IPC
• Penetration-free Projective Dynamics on the GPU
• High-Order Incremental Potential Contact for Elastodynamic Simulation on Curved Meshes
• Second-order Stencil Descent for Interior-point Hyperelasticity

Implicit time integration

• Robust Quasistatic Finite Elements and Flesh Simulation

Interactive

• 23-Interactive-Design-of-2D-car-profiles-with-aerodynamic-feedback

Inverse-Hessian-vector products

• WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

LBM

• Fast and Versatile Fluid-Solid Coupling for Turbulent Flow Simulation
• LBM: Principles and practice

LLM

• ROBOGEN: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

Large-Step Elastodynamics

• Decomposed Optimization Time Integrator for Large-Step Elastodynamics

Linear Systems

• A Deep Conjugate Direction Method for Iteratively Solving Linear Systems

MPM

• BFEMP: Interpenetration-Free MPM-FEM Coupling with Barrier Contact
• PAC-NERF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
• ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics
• IQ-MPM: An Interface Quadrature Material Point Method for Non-sticky Strongly Two-Way Coupled Nonlinear Solids and Fluids
• Hierarchical Optimization Time Integration for CFL-Rate MPM Stepping

MPM​​

• Affine Particle-In-Cell Method

Machine Learning

• Fast Approximation of Rotations and Hessian Matrices

Mass Spring

• Penetration-free Projective Dynamics on the GPU

Material Point Method

• Neural Stress Fields for Reduced-order Elastoplasticity and Fracture

NN

• 23-Interactive-Design-of-2D-car-profiles-with-aerodynamic-feedback

NeRF

• PAC-NERF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification

Network compression

• WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

Optimization

• An Optimization-based SPH Solver for Simulation of Hyperelastic Solids
• A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
• Accelerated Quadratic Proxy for Geometric Optimization
• Blended Cured Quasi-Newton for Distortion Optimization
• Decomposed Optimization Time Integrator for Large-Step Elastodynamics
• Hierarchical Optimization Time Integration for CFL-Rate MPM Stepping
• Fast Approximation of Rotations and Hessian Matrices
• Optimizing Neural Networks with Kronecker-factored Approximate Curvature

PDE

• DeepONet: Learning Nonlinear Operators for Identifying Differential Equations Based on the Universal Approximation Theorem of Operators

Position Based Dynamics

• Differentiable Position-Based Simulation of Compliant Constraint Dynamics

Preconditioner

• A Multilevel Active-Set Preconditioner for Box-Constrained Pressure Poisson Solvers
• Towards Realtime: A Hybrid Physics-based Method for Hair Animation on GPU

Programming Language

• DiffTaichi: Differentiable Programming For Physical Simulation

Projective Dynamics

• Projective dynamics: Fusing constraint projections for fast simulation
• Penetration-free Projective Dynamics on the GPU
• DiffPD: Differentiable Projective Dynamics

Quasi-Newton

• Hierarchical Optimization Time Integration for CFL-Rate MPM Stepping

Quasistatic simulation

• Robust Quasistatic Finite Elements and Flesh Simulation

Reconstructing

• NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Reduced-order Modeling

• Neural Stress Fields for Reduced-order Elastoplasticity and Fracture

Rigid Body

Rigid-body Dynamics

• Efficient Differentiable Simulation of Articulated Bodies
• ADD: Analytically Differentiable Dynamics for Multi-Body Systems with Frictional Contact

Robot

• ROBOGEN: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation

SPH

• A Survey on SPH Methods in Computer Graphics
• An Optimization-based SPH Solver for Simulation of Hyperelastic Solids
• An Optimization-based SPH Solver for Simulation of Hyperelastic Solids
• Hydrophobic and Hydrophilic Solid-Fluid Interaction

Second-order optimization

• WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

Shell

• Multi-Layer Thick Shells

Summary

• A Survey on SPH Methods in Computer Graphics

Surface Tension

• Hydrophobic and Hydrophilic Solid-Fluid Interaction

System Identification

• ∇Sim: Differentiable simulation for system identification and visuomotor control
• PAC-NERF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification

Turbulent flows

• Modeling the pressure-Hessian tensor using deep neural networks