SOTAVerified

Physical Simulations

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 100 papers

TitleStatusHype
UnrealCV: Connecting Computer Vision to Unreal EngineCode0
Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of Complex Physical SystemsCode0
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives—0
In-Distribution Interpretability for Challenging Modalities—0
DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation—0
DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interaction—0
`Just One More Sensor is Enough' -- Iterative Water Leak Localization with Physical Simulation and a Small Number of Pressure Sensors—0
Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks—0
Learnable & Interpretable Model Combination in Dynamical Systems Modeling—0
Enforcing the Principle of Locality for Physical Simulations with Neural Operators—0
Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation—0
Local Geometric Indexing of High Resolution Data for Facial Reconstruction from Sparse Markers—0
A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder—0
Constraint-based graph network simulator—0
ML4PhySim : Machine Learning for Physical Simulations Challenge (The airfoil design)—0
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature—0
Complete End-To-End Low Cost Solution To a 3D Scanning System with Integrated Turntable—0
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions—0
Multi-Physics Simulations via Coupled Fourier Neural Operator—0
TPA-Net: Generate A Dataset for Text to Physics-based Animation—0
Deep learning modelling of manufacturing and build variations on multi-stage axial compressors aerodynamics—0
C(NN)FD -- a deep learning framework for turbomachinery CFD analysis—0
Neural Posterior Estimation with Differentiable Simulators—0
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design—0
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods—0
Bayesian Neural Ordinary Differential Equations—0
Phys4DGen: A Physics-Driven Framework for Controllable and Efficient 4D Content Generation from a Single Image—0
A Taylor Based Sampling Scheme for Machine Learning in Computational Physics—0
A Rate-Distortion Framework for Explaining Black-box Model Decisions—0
Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation—0
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?—0
Wavelet-based Loss for High-frequency Interface Dynamics—0
Predicting Natural Hazards with Neuronal Networks—0
Realistic Surgical Simulation from Monocular Videos—0
Real-time Pose and Shape Reconstruction of Two Interacting Hands With a Single Depth Camera—0
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation—0
Simulating Liquids with Graph Networks—0
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction—0
Soft Checksums to Flag Untrustworthy Machine Learning Surrogate Predictions and Application to Atomic Physics Simulations—0
Space and Time Continuous Physics Simulation From Partial Observations—0
A high-efficiency model indicating the role of inhibition in the resilience of neuronal networks to damage resulting from traumatic injury—0
Exploring Physical Latent Spaces for High-Resolution Flow Restoration—0
Frequency-aware Interface Dynamics with Generative Adversarial Networks—0
E-LMC: Extended Linear Model of Coregionalization for Spatial Field Prediction—0
Fusing Neural and Physical: Augment Protein Conformation Sampling with Tractable Simulations—0
Generalizing Graph ODE for Learning Complex System Dynamics across Environments—0
Grounding Creativity in Physics: A Brief Survey of Physical Priors in AIGC—0
Efficient nonlinear manifold reduced order model—0
Discovering Interpretable Physical Models using Symbolic Regression and Discrete Exterior Calculus—0
Accelerate Neural Subspace-Based Reduced-Order Solver of Deformable Simulation by Lipschitz Optimization—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HOOD_OuterChamfer (cm)5.36—Unverified
2PBNS_DressChamfer (cm)4.87—Unverified
3PBNS_OuterChamfer (cm)4.86—Unverified
4NCS_OuterChamfer (cm)4.74—Unverified
5NCS_DressChamfer (cm)4.55—Unverified
6HOOD_DressChamfer (cm)4.29—Unverified
7PBNS_UpperChamfer (cm)2.69—Unverified
8HOOD_UpperChamfer (cm)2.67—Unverified
9NCS_UpperChamfer (cm)2.11—Unverified
10HOOD_LowerChamfer (cm)2.07—Unverified