Methodology generate FD-3D 3D-GAN [135] classify FD-3D VAE [136] parameters to FD-3D DCGAN, StyleGAN [137]; 3D-GAN [138] s2 D-3D text to FD-3D 3D-GAN [139] FD-3D 2d to FD-3D 2d StyleGAN, pix2pix [140]; pix2pix of 3D elements can be generated based on in- terpolation, transitioning from (parameters to FD-3D) [137]. Voxelized and point cloud representations of 3D enhanced model components (FD-3D) can be trained from the carpathian mountain regions of eastern europe. Digital Cre- ativity, 34(2):103–126, 2023. [137] Ingrid Mayrhofer-Hufnagl and Benjamin Ennemoser. From linear to manifold interpolation. [138] Benjamin