![]() ![]() This allows us to directly minimize the objective function that evaluates the fitting quality of the garment sewn from a pattern, without any compromise caused by the nonexistence of the solution to inverse pattern design. In this paper, we propose to solve sewing pattern adjustment as a nonlinear optimization problem immediately, rather than in two phases: a garment shape optimization phase and an inverse pattern design phase as in previous systems. To meet the requirement set by the fashion industry, a sewing pattern adjustment system must be both efficient and precise, which unfortunately cannot be achieved by existing techniques. Being able to customize sewing patterns for different human bodies without using any pre-defined adjustment rule will not only improve the realism of virtual humans in the entertainment industry, but also deeply affect the fashion industry by making fast fashion and made-to-measure garments more accessible.
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