CloDS: Visual-Only Unsupervised Cloth Dynamics Learning in Unknown Conditions

Researchers introduce CloDS (Cloth Dynamics Splatting), an unsupervised AI framework that learns cloth dynamics from visual observations without requiring known physical properties. The system uses a three-stage pipeline with dual-position opacity modulation to handle complex cloth deformations and self-occlusions through mesh-based Gaussian splatting.