54 citations · 73 across the 9 of their papers we have counts for
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cs.LG2018
Adversarial Autoencoders for Compact Representations of 3D Point Clouds
Maciej Zamorski, Maciej Zięba, Piotr Klukowski +4
Deep generative architectures provide a way to model not only images but also complex, 3-dimensional objects, such as point clouds. In this work, we present a novel method to obtai…
cs.CV2018★ 54 cited
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN
Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly +1
In this paper, we propose a novel regularization method for Generative Adversarial Networks, which allows the model to learn discriminative yet compact binary representations of im…