Demo Details

Explore Our Latest 3D Matching Model Technologies

Welcome to our demo page where you can explore our cutting-edge 3D matching model technologies. We are excited to present three distinct models: Chair, Bottle, and Vase. These models showcase our innovative approach to 3D object recognition and comparison.

Our Technology

We utilize Variational Autoencoder (VAE) AI Technology to create a latent space for each model. This advanced technique allows us to capture the essential features and patterns within each type of object. By mapping these objects into a latent space, we can efficiently identify similarities and differences between them.

Matching Chair Example Matching Chair Example Matching Chair Example

Explore Our Latest 3D Synthesis Model Technologies

Welcome to our demo page where you can explore our innovative 3D synthesis model technologies. We are thrilled to introduce two distinct models: Chair and Bottle. These models demonstrate our advanced approach to 3D object synthesis and generation.

Our Technology

We employ Variational Autoencoder (VAE) AI Technology combined with Shape Reconstruction techniques to create completely new shapes. This powerful combination allows us to generate novel 3D objects that retain the essential characteristics of the original models while introducing unique variations.

Matching Chair Example Synthesis Chair Example

Explore Our Latest PINNs : Physics-informed Neural Networks

our cutting-edge Physics-Informed Neural Networks (PINNs) AI. We are excited to present a detailed case study involving a cantilever. This demonstration showcases our innovative approach to solving complex physical problems using neural networks.

Our Technology

We utilize Physics-Informed Neural Networks (PINNs), a Revolutionary Technique that integrates physical laws into the training process of neural networks. This allows us to solve partial differential equations (PDEs) that govern various physical phenomena with high accuracy and efficiency.

PINNs