Monthly Archives: June 2026

José Antonio Fernández-Fernández, Fabian Löschner, Jan Bender Newton’s Method is widely used to find the solution of complex non-linear simulation problems. To guarantee a descent direction, it is common practice to clamp the negative eigenvalues of each element Hessian prior … Continue reading →

Alexandre Mercier-Aubin, Teseo Schneider, Paul G. Kry, Sheldon Andrews We introduce affinification, a novel method for accelerating physics-based animation of elastic solids. During a time-dependent simulation, our method automatically partitions the space into affine and elastic regions depending on the … Continue reading →

Liangwang Ruan, Bin Wang, Tiantian Liu, Baoquan Chen We present an efficient and scalable method for the inverse shape design problem of elastic objects, with broad applicability to diverse materials and interactive editing. The core idea is to decouple material … Continue reading →

Duowen Chen, Zhiqiang Lao, Yu Guo, Heather Yu We introduce a hybrid pipeline that combines classical fluid simulation with modern generative video models to produce high- quality, controllable fluid effects without implementationally difficult solvers or costly ray-tracing. First, a lightweight … Continue reading →

Zoé Herson, Axel Paris, Élie Michel We present a real-time method to capture and simulate the dynamic behavior of watercolor painting. We develop a physically accurate, grid-based, real-time fluid simulation based on a reparameterized Thin Film model. The equations are … Continue reading →

Junyuan Liu, Shusen Liu, Yuzhong Guo, Ruikai Liang, Yin Li, Xiaowei He While semi-analytical boundary handling techniques have proven effective for modeling particle-based fluid-solid interactions, they can become unstable when applied to mesh boundaries undergoing dynamic motion or featuring complex, … Continue reading →

Fumiya Narita, Takashi Kanai Tall cell grids have been proposed as an efficient approach to accelerate large-scale liquid simulation. In this framework, regions near the liquid surface are discretized with regular grids, while regions farther away are represented by elongated … Continue reading →

Xiang Feng, Yunuo Chen, Chang Yu, Hao Su, Demetri Terzopoulos, Yin Yang, Joe Masterjohn, Alejandro Castro, Chenfanfu Jiang In this paper, we introduce MPM Lite, a new hybrid Lagrangian/Eulerian method that eliminates the need for particle-based quadrature at solve time. … Continue reading →

Zhanyu Yang, Nikolas Schwarz, Bosheng Li, Dominik Michels, Bedrich Benes, Soren Pirk, Wojtek Palubicki Fungal wood decay is a complex biophysical phenomenon that involves the degradation of a variety of structural wood components, ranging from lignin and carbohydrates to defensive … Continue reading →

Ahmed H. Mahmoud, Rahul Goel, Jonathan Ragan-Kelley, Justin Solomon We present a GPU-based system for automatic differentiation (AD) of functions defined on triangle meshes, designed to exploit the locality and sparsity in mesh-based computation. Our system evaluates derivatives using per-element … Continue reading →