Deep Detail Enhancement for Any Garment

Understand

Creating fine garment details requires significant efforts and huge computational resources.

• In contrast, a coarse shape may be easy to acquire in many scenarios (e.g., via low-resolution physically-based simulation, linear blend skinning driven by skeletal motion, portable scanners).
• In this paper, we show how to enhance, in a data-driven manner, rich yet plausible details starting from a coarse garment geometry.
• Once the parameterization of the garment is given, we formulate the task as a style transfer problem over the space of associated normal maps.