Point-based geometry processing

We propose a high-fidelity differentiable renderer for point clouds. We demonstrate how the proposed technique can be used to leverage contemporary deep neural networks to achieve state-of-the-art results in challenging geometry processing tasks.

We present a detail-driven deep neural network for point set upsampling. A high-resolution point set is essential for point-based …