
We introduce the first real-time framework that takes an animated stitch mesh as input and enhances it with knot-based yarn-level simulation.
Project page https://kuiwuchn.github.io/rtstitch.
We introduce the first real-time framework that takes an animated stitch mesh as input and enhances it with knot-based yarn-level simulation.
Project page https://kuiwuchn.github.io/rtstitch.
A global large-scale fluid simulation is performed on servers using high-end compute hardware, and local refinement of fluid and rigid body coupling is performed on a client with limited compute resources, such as a tablet or smartphone.
Full paper on https://profs.etsmtl.ca/sandrews/pdf/MIG24_fluid_rigid.pdf.
a spatially varying homogenization scheme for knitwear simulation
Project page https://graphics.cs.utah.edu/research/projects/volumetric_homogenization/
In this paper, we propose a novel workflow that allows users to seamlessly tune their simulations for a smaller memory footprint, which is especially valuable for scaling the simulation to a higher resolution. Due to precise estimation of the round-off errors, we achieve much higher efficiency than Random Search in determining the quantization schemes.
Full paper on https://dl.acm.org/doi/abs/10.1145/3528223.3530154.
A simple Position-based Dynamics implementation based on glut.
Native android VR app with gles implementation, compatible with Google Cardboard. It is a ZJU CG course project for Discussions on Special Topics. Visit Github for the full code.
Course work for Digital Logic Design.
An encrypted (enclave-based) heterogeneous calculation protocol based on Nvidia CUDA and Intel SGX with a simple sample of CUBLAS, designed and implemented by Tinghao Xie, Haoyang Shi, Zihang Li.
Course project for Compiler Principle at ZJU. Co-Authored with @Tinghao(Vitus) Xie.Visit Github repo.
1 | int main(){ |