I don’t know any recent 3D DCGAN implementations, but you could try to use the approach of Voxel DCGAN 1 or 3DGAN 2, which are both a bot older by now.



 saba:

Can I use any 2D GAN, and just convert any 2d to 3d?


If you are working with static volumetric shapes, you could use the depth dimension as the channel dimension in a standard 2D GAN, although I don’t know, how well this would work.
I think your suggestion makes sense and you could try to replace all nn.*2D layers with their 3D equivalent.