- funding agency
- European Research Council
- funding period
- 2021-2026
- PI
- Olga Sorkine-Hornung
short summary
Clothing is a fundamental and indispensable part of human existence, and dressing people has tremendous societal, economical, and environmental impact. The digital technological revolution has not yet achieved its full potential in the garment manufacturing and retail domain, where many of the processes remain essentially unchanged for a century. In addition, the "fast fashion" approach of selling large volumes of garments at very low prices and changing collections very frequently leads to significant waste of natural and human resources: according to recent research nearly 50% of all manufactured garments are imminently destined for landfill or incineration. A fundamental, radical change is required to the way clothes are designed, manufactured and delivered to consumers, generating value and attachment via quality instead of quantity and curbing toxic overproduction. The goal of this project is to bring transformative technological advances in geometric modeling and optimization of personalized, custom-fitted and fabricable garments in order to crucially support this change. To reach our goals, we must break away from traditional shape representations and modeling pipelines and develop a dedicated mathematical and algorithmic foundation for digital cloth and garment modeling. Our envisioned theoretical basis of the digital garment shape space will on the one hand facilitate a novel interactive modeling framework to support apparel designers in the creative task of template garment design in a reality-faithful manner, and on the other hand serve as the enabling foundation for automated, algorithmic garment personalization to perfectly fit any human body model. In stark contrast to current practice of standardized confection sizes, our framework will enable on-demand fabrication of custom-tailored clothing while being inclusive of the full diversity range of human shapes, and anticipate the proliferation of digital garment fabrication technology.
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 101003104, MYCLOTH).
people
- Olga Sorkine-Hornung, principal investigator
- Jing Ren, postdoctoral researcher
- Maria Korosteleva, postdoctoral researcher
- Floor Verhoeven, PhD student
- Alexandre Binninger, PhD student
- , PhD student
publications
- Designing Personalized Garments with Body Movement, Computer Graphics Forum, 2023
- Mesh Draping: Parametrization-Free Neural Mesh Transfer, Computer Graphics Forum, 2023
- Example-based Motion Synthesis via Generative Motion Matching, SIGGRAPH 2023
- Computational Pattern Making from 3D Garment Models, SIGGRAPH 2022
- Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization, 3DV 2022
- Dev2PQ: Planar Quadrilateral Strip Remeshing of Developable Surfaces, ACM TOG 2022
- Smooth Interpolating Curves with Local Control and Monotone Alternating Curvature, SGP 2022
- Variational Quadratic Shape Functions for Polygons and Polyhedra, SIGGRAPH 2022
- SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation, SIGGRAPH 2022
- GANimator: Neural Motion Synthesis from a Single Sequence, SIGGRAPH 2022
- Sparsity-Specific Code Optimization using Expression Trees, ACM TOG, 2022
- Developable Approximation via Gauss Image Thinning, SGP 2021