# DAVIDSTUTZ

Check out the latest superpixel benchmark — Superpixel Benchmark (2016) — and let me know your opinion! @david_stutz
07thMARCH2017

The network architecture used for the generator is illustrated in Figure 2. The discriminator mirrors this structure. The encoder is a convolutional neural network operating on images (not 3D data) consisting of 5 convolutional layers followed by batch normalization and ReLU activation layers. The idea is that the encoder allows to get the latent variables $z$ from a 2D image and then perform 3D reconstruction using the decoder/generator, taking $z$ as input, to generated a 3D shape.