MIND: Microstructure INverse Design with Generative Hybrid Neural Representation
MIND is a generative model that designs 3D tileable microstructures based on target properties. It uses Holoplane, a hybrid neural representation encoding geometry and physical properties, combined with latent diffusion to generate diverse structures while ensuring precise control over both shape and material characteristics.