I-Cloth - API for high-quality cloth simulation with CUDA

by Min Tang

 

Benchmarks: Various cloth simulation scenes produced by I-Cloth, and rendered with 3ds Max.

Introduction

I-Cloth is provided as a C++ API for fast and reliable cloth simulation. GPU (with CUDA) is used for acceleration. I-Cloth is mainly developed by Min Tang during his research on GPU-based cloth simulation. The API files including header files and lib/dll files for windows 64-bits platform. We also provide an example application to demonstrate how to use the API.
 

Contents

API Package (v0.2, updated 2018/10/11)  (PDF 92.8 MB)

For password, write to tang_m@zju.edu.cn, with title "I-Cloth 0.2 password", please provide your name, affiliation, and purpose. Tested on GeForce GTX 1080, 1080Ti, 1060 (with 6G memory), Tesla K40c. Require at least 6G GPU memory.


Previous verison (v0.1, updated 2018/6/10)  (PDF 103 MB)

Related Links

PSCC: Parallel Self-Collision Culling with Spatial Hashing on GPUs

Accurate Self-Collision Detection Using Enhanced Dual-Cone Method

Efficient BVH-based Collision Detection Scheme with Ordering and Restructuring

CAMA: Contact-Aware Matrix Assembly with Unified Collision Handling for GPU-based Cloth Simulation

A GPU-based Streaming Algorithm for High-Resolution Cloth Simulation

UNC dynamic model benchmark repository

Collision-Streams: Fast GPU-based Collision Detection for Deformable Models

Fast Continuous Collision Detection using Deforming Non-Penetration Filters

Interactive Continuous Collision Detection between Deformable Models using Connectivity-Based Culling

MCCD: Multi-Core Collision Detection between Deformable Models using Front-Based Decomposition

Fast Collision Detection for Deformable Models using Representative-Triangles

DeformCD: Collision Detection between Deforming Objects

Self-CCD: Continuous Collision Detection for Deforming Objects

Interactive Collision Detection between Deformable Models using Chromatic Decomposition

Fast Proximity Computation Among Deformable Models using Discrete Voronoi Diagrams

CULLIDE: Interactive Collision Detection between Complex Models using Graphics Hardware

RCULLIDE: Fast and Reliable Collision Culling using Graphics Processors

Quick-CULLIDE: Efficient Inter- and Intra-Object Collision Culling using Graphics Hardware

Collision Detection

UNC GAMMA Group

 


tang_m@zju.edu.cn