Physical Simulations
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Benchmarks
Most implemented
Physics-based Deep Learning
Neural General Circulation Models for Weather and Climate
DiffTaichi: Differentiable Programming for Physical Simulation
Simulation toolkit for digital material characterization of large image-based microstructures
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
Papers
Inductively Scalable, Single-Step Neural Surrogates for Wave-Scattering Inverse Problems
Neural network surrogates are an emerging alternative to traditional electromagnetic wave simulators like finite-difference time-domain (FDTD); their goal is to replace rigorous physical simulations with pre-trained neur…
Physical SimulationsKastor: An efficient fine-tuning strategy for generative emulation of PDE simulations
Machine learning offers a promising avenue to accelerate physical simulations by replacing computationally expensive traditional Partial Differential Equation (PDE) solvers with fast, differentiable surrogate models. How…
Computational EfficiencyPhysical SimulationsPhysics-aware Masked Diffusion-based Flood Simulation for Urban Fisheye Disaster Detection
Physical simulations that predict the behavior of urban disasters, such as climate-related flooding, play a crucial role in disaster prevention and the development of anomaly detection models. However, the severe shortag…
Physical SimulationsAnomaly DetectionHoloTetSphere: Unified TetSphere Mesh Reconstruction for Physical Simulations
Standard pipelines for physics-ready 3D reconstruction rely on a decoupled two-stage paradigm: extracting surface geometry followed by an error-prone tetrahedralization process. While recent Lagrangian methods like TetSp…
Physical Simulations3D ReconstructionStitched Embeddings: A Unified Latent Space for 3D Garments and 2D Patterns
While garments are essential for realistic digital humans, their topological variety makes them much harder to model than parametric bodies. Traditional tailoring relies on 2D sewing patterns, yet bridging these patterns…
Garment ReconstructionPhysical SimulationsOne-Step Flow Matching for Generative Modeling of Path-Dependent Physical Fields
Physical simulations for intricate geometries with path-dependent constitutive models face difficulties due to the enormous computational cost they require. Recently, the emergence of generative AI models, which succeed …
Physical Simulations