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, CycleGAN [143] formation can be generated based on the input RGB chan- nel values. (parameters to FD-3D 2d) [138] . Furthermore, New forms of 3D elements can be generated based on in- terpolation, transitioning from [137] Ingrid Mayrhofer-Hufnagl and Benjamin Ennemoser. From linear to manifold interpolation. [138] Benjamin Ennemoser and Ingrid Mayrhofer-Hufnagl. De- sign across multi-scale datasets by developing