High Fidelity Cloth Simulation in Production Environments

Abstract

Garments play a ubiquitous role in human life. The field of simulation has developed various methods to replicate their behaviour. However, there remains a gap between research and industry, with information flowing slowly and unevenly. Two of the main discouraging factors in garment simulation are the exploratory work required to integrate new techniques or adapt current ones to the context of realistic garments, and the lack of robustness in most modern methods, particularly those that simulate fabric at a high level of detail. This thesis aims to bridge the gap between commonly used simulation methods in the industry and new, innovative techniques. To achieve this, we conducted an exploratory study on techniques that enhance and expedite the simulation of complex materials, such as fabrics. With regards to the latter, we introduce a new yarn-level bending model that resolves previous robustness issues without introducing any new degrees of freedom in the system. The model is highly tunable and can be used in highly parallel environments.