Garment Particles: A 2D--3D Symmetric Garment Representation for Generation and Editing
Practical garment design spans two modes: intuitive creation from high-level intent, such as a reference image or text description, and complex low-level editing across 2D sewing patterns and 3D draped geometry, which requires professional training to navigate their complex interdependencies. Yet existing frameworks address only part of this challenge, offering either garment generation from casual inputs or direct editing on sewing patterns. To support both ends of the spectrum, we propose Garment Particles, a 5D point-cloud representation that jointly encodes 2D sewing patterns and 3D geometry. This representation enables Garment Particles Flow (GPF), a rectified flow framework that sup...
| Authors | Kiyohiro Nakayama, I-Chao Shen, Ruofan Liu et al. |
|---|---|
| Primary category | cs.GR |
| Published | 25 May 2026 |
| Last updated at source | 27 May 2026 |
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