Sewing Pattern

Sewing patterns, representing the fundamental 2D structure of garments, are becoming a central focus in computer vision and computer graphics research. Current efforts concentrate on accurately reconstructing sewing patterns from various input data, such as single images or 3D point clouds, employing techniques like transformer networks, implicit surface representations, and physics-based simulation to handle complex garment shapes and draping. This research aims to improve virtual try-on, digital avatar creation, and automated garment design by enabling more realistic and personalized clothing modeling. The development of large-scale datasets and novel algorithms is driving progress in this field, with implications for both the fashion industry and broader applications in computer graphics.