Mar 30, 2020 · We present PointGMM, a neural network that learns to generate hGMMs which are characteristic of the shape class, and also coincide with the ...

We present PointGMM, a neural network that learns to generate hGMMs which are characteristic of the shape class, and also coincide with the input point cloud.

This is the official Pytorch implementation of the CVPR2020 paper PointGMM: a Neural GMM Network for Point Clouds. – Download the ShapeNetCore.v2 dataset.

We present PointGMM, a neural network that learns to generate hGMMs which are characteristic of the shape class, and also coincide with the input point cloud.

We present PointGMM, a neural network that learns to generate hGMMs which are characteristic of the shape class, and also coincide with the input point cloud.

This work presents PointGMM, a neural network that learns to generate hGMMs which are characteristic of the shape class, and also coincide with the input ...

This is the official Pytorch implementation of the CVPR2020 paper PointGMM: a Neural GMM Network for Point Clouds. – Download the ShapeNetCore.v2 dataset.

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We show that as a generative model, PointGMM learns a meaningful latent space which enables generating consistent interpolations between existing shapes, as ...

This document contains additional qualitative results to the paper PointGMM: a Neural GMM Network for Point Clouds, demonstrating the capabilities of PointGMM ...