Adversarial Autoencoders for Generating 3D Point Clouds. - Maciej Zamorski; Maciej Zieba; Rafal Nowak; Wojciech Stokowiec; Tomasz Trzcinski (CoRR, 2018)

Semi-supervised Learning with Bidirectional GANs. - Maciej Zamorski; Maciej Zieba (ACIIDS (1), 2019)

Generative Adversarial Networks: Recent Developments. - Maciej Zamorski; Adrian Zdobylak; Maciej Zieba; Jerzy Swiatek (ICAISC (1), 2019)

Conditional Invertible Flow for Point Cloud Generation. - Michal Stypulkowski; Maciej Zamorski; Maciej Zieba; Jan Chorowski (CoRR, 2019)

Comparison of Aggregation Functions for 3D Point Clouds Classification. - Maciej Zamorski; Maciej Zieba; Jerzy Swiatek (ACIIDS (1), 2020)

Generative Modeling in Application to Point Cloud Completion. - Maciej Zamorski; Maciej Zieba; Jerzy Swiatek (ICAISC (1), 2020)

Hypernetwork approach to generating point clouds. - Przemyslaw Spurek; Sebastian Winczowski; Jacek Tabor; Maciej Zamorski; Maciej Zieba; Tomasz Trzcinski (ICML, 2020)

Adversarial autoencoders for compact representations of 3D point clouds. - Maciej Zamorski; Maciej Zieba; Piotr Klukowski; Rafal Nowak; Karol Kurach; Wojciech Stokowiec; Tomasz Trzcinski (Comput. Vis. Image Underst., 2020)

Representing point clouds with generative conditional invertible flow networks. - Michal Stypulkowski; Kacper Kania; Maciej Zamorski; Maciej Zieba; Tomasz Trzcinski; Jan Chorowski (Pattern Recognit. Lett., 2021)

Continual learning on 3D point clouds with random compressed rehearsal. - Maciej Zamorski; Michal Stypulkowski; Konrad Karanowski; Tomasz Trzcinski; Maciej Zieba (Comput. Vis. Image Underst., 2023)