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cs.CV2022★ 2 cited
Cut-and-Approximate: 3D Shape Reconstruction from Planar Cross-sections with Deep Reinforcement Learning
Azimkhon Ostonov
Current methods for 3D object reconstruction from a set of planar cross-sections still struggle to capture detailed topology or require a considerable number of cross-sections. In…
cs.CV2022★ 6 cited
RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation
Azimkhon Ostonov, Peter Wonka, Dominik L. Michels
We present RLSS: a reinforcement learning algorithm for sequential scene generation. This is based on employing the proximal policy optimization (PPO) algorithm for generative prob…