Garment Dynamic

Garment dynamic research focuses on realistically simulating the movement and appearance of clothing on virtual avatars and in images, aiming for accurate representation of complex deformations like folds and wrinkles in various fabrics and fitting styles. Current efforts leverage techniques such as graph neural networks, diffusion models, and physics-based simulations, often employing 3D models and multi-view data to capture and generate realistic garment behavior. This field is crucial for advancing applications in virtual try-ons, animation, and virtual/augmented reality, where accurate clothing simulation enhances realism and user experience.