Category Archives: Uncategorized

Takahiro Sato, Chris Wojtan, Nils Thuerey, Takeo Igarashi, Ryoichi Ando The Fluid Implicit Particle method (FLIP) reduces numerical dissipation by combining particles with grids. To improve performance, the subsequent narrow band FLIP method (NB-FLIP) uses a FLIP-based fluid simulation only … Continue reading →

Nobuyuki Umetani, Bernd Bickel We present a data-driven technique to instantly predict how fluid flows around various three-dimensional objects. Such simulation is useful for computational fabrication and engineering, but is usually computationally expensive since it requires solving the Navier-Stokes equation … Continue reading →

Qiaodong Cui, Pradeep Sen, Theodore Kim The Laplacian Eigenfunction method for fluid simulation, which we refer to as Eigenfluids, introduced an elegant new way to capture intricate fluid flows with near-zero viscosity. However, the approach does not scale well, as … Continue reading →

Kui Wu, Xifeng Gao, Zachary Ferguson, Daniele Panozzo, Cem Yuksel We introduce the first fully automatic pipeline to convert arbitrary 3D shapes into knit models. Our pipeline is based on a global parametrization remeshing pipeline to produce an isotropic quad-dominant … Continue reading →

Zherong Pan., Dinesh Manocha We present an efficient spacetime optimization method to automatically generate animations for a general volumetric, elastically deformable body. Our approach can model the interactions between the body and the environment and automatically generate active animations. We … Continue reading →

Yijing Li, Jernej Barbič Self-intersecting, or nearly self-intersecting, meshes are commonly found in 2D and 3D computer graphics practice. Self-intersections occur, for example, in the process of artist manual work, as a by-product of procedural methods for mesh generation, or … Continue reading →

Omid Mashayekhi, Chinmayee Shah, Hang Qu, Andrew Lim, Philip Levis Distributing a simulation across many machines can drastically speed up computations and increase detail. The computing cloud provides tremendous computing resources, but weak service guarantees force programs to manage significant … Continue reading →

Dimitar Dinev, Tiantian Liu, Jing Li, Bernhard Thomaszewski, Ladislav Kavan We propose a novel projection scheme that corrects energy fluctuations in simulations of deformable objects, thereby removing unwanted numerical dissipation and numerical “explosions”. The key idea of our method is … Continue reading →

Yue Peng, Bailin Deng, Juyong Zhang, Fanyu Geng, Wenjie Qin, Ligang liu Many computer graphics problems require computing geometric shapes subject to certain constraints. This often results in non-linear and non-convex optimization problems with globally coupled variables, which pose great … Continue reading →

Jonas Zehnder, Rahul Narain, Bernhard Thomaszewski Advection-projection methods for fluid animation are widely appreciated for their stability and efficiency. However, the projection step dissipates energy from the system, leading to artificial viscosity and suppression of small-scale details. We propose an … Continue reading →