TY - GEN
T1 - PerfectDart
T2 - 2023 SIGGRAPH Asia 2023 Technical Communications, SA Technical Communications 2023
AU - De Malefette, Charles
AU - Qi, Anran
AU - Parakkat, Amal Dev
AU - Cani, Marie Paule
AU - Igarashi, Takeo
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/11/28
Y1 - 2023/11/28
N2 - Dart, a triangle-shaped folded and stitched tuck in a garment, is a common sewing technique used to provide custom-fit garments. Unfortunately, designing and optimally placing these darts requires knowledge and practice, making it challenging for novice users. We propose a novel computational dart design framework that takes rough user cues (the region where the dart will be inserted) and computes the optimal dart configurations to improve fitness. To be more specific, our framework utilizes the body-garment relationship to quantify the fitting using a novel energy composed of three geometric terms: 1) closeness term encoding the proximity between the garment and the target body, 2) stretchability term favouring area-preserving cloth deformation, and 3) smoothness term promoting an unwrinkled and unfolded garment. We evaluate these three geometric terms via off-the-shelf cloth simulation and use it to optimize the dart configuration by minimizing the energy. As demonstrated by our results, our method is able to automatically generate darts to improve fitness for various garment designs and a wide range of body shapes, including animals.
AB - Dart, a triangle-shaped folded and stitched tuck in a garment, is a common sewing technique used to provide custom-fit garments. Unfortunately, designing and optimally placing these darts requires knowledge and practice, making it challenging for novice users. We propose a novel computational dart design framework that takes rough user cues (the region where the dart will be inserted) and computes the optimal dart configurations to improve fitness. To be more specific, our framework utilizes the body-garment relationship to quantify the fitting using a novel energy composed of three geometric terms: 1) closeness term encoding the proximity between the garment and the target body, 2) stretchability term favouring area-preserving cloth deformation, and 3) smoothness term promoting an unwrinkled and unfolded garment. We evaluate these three geometric terms via off-the-shelf cloth simulation and use it to optimize the dart configuration by minimizing the energy. As demonstrated by our results, our method is able to automatically generate darts to improve fitness for various garment designs and a wide range of body shapes, including animals.
KW - Garment modeling
KW - Sewing pattern design
UR - https://www.scopus.com/pages/publications/85180124201
U2 - 10.1145/3610543.3626154
DO - 10.1145/3610543.3626154
M3 - Conference contribution
AN - SCOPUS:85180124201
T3 - Proceedings - SIGGRAPH Asia 2023: Technical Communications, SA Technical Communications 2023
BT - Proceedings - SIGGRAPH Asia 2023
A2 - Spencer, Stephen N.
PB - Association for Computing Machinery, Inc
Y2 - 12 December 2023 through 15 December 2023
ER -