We have noticed a lot of research discussing 3D-GAN and how to describe shapes created in three dimensions
using GAN models, the best method to approach 3D-GAN, in our opinion (area of expertise), is by comprehending
and respecting how 3D forms operate in 3rd-dimensional environments and how humans recognize distinctive
features in any geometry since Rhino/Grasshopper is the ideal program for comprehending and analyzing 3D
geometry, we turned Pytorch 1.11.0 into Torch.NET [.NET Framework 4. X] which is powered by NVIDIA CUDA 11.3
with GPU CUDA, a scenario that took us 3 months to apply. [Thanks to SciSharp as well produced Torch.NET
with.NET Core three years ago].