Draft-space warping: grading of clothes based on parametrized draft

This paper presents a novel framework for garment grading. In CG, an extensive amount of study has been done to clothe human characters, but little attention has been taken to the grading problem itself. For the development of a grading technique, we got the insight from the process of drawing the pattern-making draft (sloper) in the clothing field. Noting that the draft can be completely determined by supplying the primary body sizes, we abstract the draft construction process as a computer procedure which we call the parameterized draft. With the parametrized draft, we develop a grading method based on the draft-space warping, which takes three steps: (1) draftspace encoding, (2) target draft construction, then (3) draft-space decoding. The proposed grading method can be performed instantly for any given body without calling for the user’s intervention. With experimental results, we show that the new grading framework can bring an improvement to garment grading.