Modeling of realistic garments is essential for creating believable virtual environments. Sketch-based modeling of garments presents an appealing, easy to use alternative to the established modeling approaches which are time consuming and require significant tailoring expertise. Unfortunately, the results created using existing sketch-based methods lack realism. Driven by human perception of garment sketches, we propose a context-aware garment sketch interpretation based on a set of observations about key factors that affect the shape of garments. Based on this analysis we develop a geometric method for sketch based modeling of garments which obtains more realistic results than previous techniques. We demonstrate the effectiveness of our method on a variety of inputs and validate our approach via a user study where viewers were asked to compare the believability of our outputs versus previous ones.

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Figure 1: Micrography images created using our system. Closeups of parts of the images shown in the middle. Left: excerpt from Alice in Wonderland, target size 110x110cm. Right: Song of Songs, target size 42x60cm. Please zoom into the images using the digital version to read the fine text. See supplementary material for large images.