Author Archives: christopherbatty

Machine Learning Operator Lexicon for Partial Differential Equation Solvers on Irregular and Sparse Domains

Jaehyun Lee, Eftychios Sifakis Solvers for grid-based discretizations of Partial Differential Equations (PDEs) are ubiquitous in computer graphics. However, efficient implementation of such solvers is contingent on specific design choices for grid data structures (especially for sparse domains), hand-tuned kernels … Continue reading →

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Fast Cutting of Cage Based Deformation with Walk on Spheres

Hossam Saeed, Michael Lambiri, Teseo Schneider, Derek Nowrouzezahrai, Paul G. Kry While cages provide a powerful reduction model to simulate elastic deformations, interactive real-time cutting of cages has been a longstanding challenge. Traditional solvers require costly volumetric re-meshing and global … Continue reading →

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Flamescapes: Simulating the Wildlandfire Urban Interface

Helge Wrede, Anton R. Wagner, Wojtek Pałubicki, Dominik L. Michels, Sören Pirk We present a physically based simulation framework for wildland–urban interface (WUI) fires that couples material-aware urban scenes with interactive combustion simulation. Motivated by the dominant WUI exposure pathways … Continue reading →

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Reconstructing Physically Stable 3D Scenes from a Single Image

Xiaoxuan Ma, Jiashun Wang, Nicolas Ugrinovic, Yehonathan Litman, Kris Kitani Reconstructing physically stable 3D scenes from a single RGB image enables casual images to be converted into simulation-ready digital assets for applications such as immersive interaction and content creation. However, … Continue reading →

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Multi-level Quadrature for Projective Dynamics

Projective dynamics (PD) is a popular framework for efficient physical simulation. However, its factorization-based global solve maps poorly to GPU parallelization, while iterative alternatives often fail to converge effectively for stiff or high-resolution models. This paper reformulates the PD global … Continue reading →

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Kinetic Predicted-Moment Flux Reconstruction for High-Order High-Performance Fluid Simul

Zike Xu, Xuan Zhang, Xiaopei Liu The simultaneous pursuit of high fidelity, large computational throughput, and a minimal memory footprint has long constituted the central challenge in fluid simulation research. Yet state-of-the-art methods struggle to reconcile all these objectives, and … Continue reading →

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RealSimLoop: Online Real-to-Sim Adaptation via Differentiable Reduced-Order Simulation with Vision Feedback

Zhihao Cen, Chuhua Xian, Hailin Sun, Yuliang Liufu, Zhen Zhang, Xiangyu Chu, Hongmin Cai, Yunbo Zhang, Guoxin Fang Observing a deformable object reveals its surface motion, but many applications also need its internal stress, material properties, and interaction forces. RealSimLoop … Continue reading →

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AGIPC: Adaptive In-Solve Algebraic Coarsening for GPU IPC

Xuan Wang, Zhaofeng Luo, Minchen Li, Taku Komura, Kemeng Huang Implicit time integration is key to robustly simulating stiff materials and large deformations, but its performance is often dominated by repeatedly solving large linear systems. Adaptive coarsening can reduce this … Continue reading →

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Interactive Yarn-level Knitwear with Nested Douglas-Rachford Splitting

Chun Yuan, Zixuan Lu, Haoyang Shi, Dewen Guo, Huamin Wang, Chenfanfu Jiang, Zherong Pan, Kui Wu, Yin Yang While yarn-level garments offer rich dynamic details and compelling visual realism compared to triangle-based models, their wide adoption is hindered by the … Continue reading →

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Distributed Affine Body Dynamics with Adaptive Consensus

Jiafeng Liu, Wenhui Zhou, Xinming Pei, Yifan Peng, Huamin Wang, Yin Yang, Lei Lan, Weiwei Xu Affine Body Dynamics (ABD) within the Incremental Potential Contact (IPC) framework provides accurate simulation of extremely stiff solids with near-rigid behavior and strict non-penetration … Continue reading →

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