Unoffical code for the research paper Inverse Graphics GAN.
Under construction.
Includes a PyTorch implementation of RenderNet as a necessary part of the architecture.
movie.mp4
CUDA training requires about 10G of VRAM.
Generator architecture based on 3DGAN-PyTorch.
RenderNet architecture is original code referencing the TensorFlow implementation of RenderNet, since it seems to conflict heavily with the architecture as described in the paper.
SpectralNorm code taken from pytorch-spectral-normalization-gan.
Discriminator architecture based on the PyTorch example DCGAN.
Binvox handling taken from binvox-rw-py.