Virtual Try-On Room with SMPL Anthropometry
fit clothing onto SMPL models.
vTry-On Room uses SMPL (Skinned Multi-Person Linear) model that represents various body shapes in natural human poses.
Partner's Profile
Background
vTry-On Room is a machine learning case study that enables virtual try-on experiences by fitting virtual clothing onto SMPL models. The SMPL (Skinned Multi-Person Linear) model is used as a representation of the human body. It provides a parametric model that captures the shape and pose variations of a human body.
Objective
By adjusting the body shape parameters of the SMPL model, users can simulate how different garments will fit on individuals with various body shapes.
Solution
With the SMPL Anthropometry library, we fit virtual clothing onto SMPL models to create virtual try-on experiences.
The SMPL Anthropometry library provides functions to manipulate the SMPL model's shape and pose parameters, apply clothing simulations, and render the virtual try-on experience. By adjusting the body shape parameters, it allows for realistic representation of individuals with different body shapes, enabling a personalized virtual try-on experience. This application can be applied in e-commerce, fashion design, and virtual dressing rooms.
Technologies
Virtual technologies
SMPL Anthropometry, AR/VR, AI
Projects
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