Given the limited availability of drawings and texts detailing the original appearance, the absence of architectural information presents a unique opportunity for generating and reconstructing the lost elements. Leveraging digitized existing architectural components, we can tap into the potential of utilizing these resources to recreate and reimagine the missing architectural details .
3D Generative-Adversarial Modeling (3DGAN)
Training Dataset
Neural Network Learning Rate
