Abstract
Modeling the geometry and the appearance of knitted fabrics has been challenging due to their complex geometries and interactions with light. Previous surface-based models have difficulties capturing fine-grained knit geometries; Micro-appearance
models, on the other hands, typically store individual cloth fibers explicitly and are expensive to be generated and rendered.
Further, neither of the models offers the flexibility to accurately capture both the reflection and the transmission of light simultaneously.
In this paper, we introduce an efficient technique to generate knit models with user-specified knitting patterns. Our model stores
individual knit plies with fiber-level detailed depicted using normal and tangent mapping. We evaluate our generated models
using a wide array of knitting patterns. Further, we compare qualitatively renderings to our models to photos of real samples.
models, on the other hands, typically store individual cloth fibers explicitly and are expensive to be generated and rendered.
Further, neither of the models offers the flexibility to accurately capture both the reflection and the transmission of light simultaneously.
In this paper, we introduce an efficient technique to generate knit models with user-specified knitting patterns. Our model stores
individual knit plies with fiber-level detailed depicted using normal and tangent mapping. We evaluate our generated models
using a wide array of knitting patterns. Further, we compare qualitatively renderings to our models to photos of real samples.
| Original language | English |
|---|---|
| Title of host publication | Eurographics Symposium on Rendering |
| Publication status | Published - 1 Jul 2021 |