search

pyg-team / pytorch_geometric

Graph Neural Network Library for PyTorch
https://pyg.org
MIT License
20.7k stars 3.59k forks source link

How to implement Point Cloud Super Resolution using Pytorch Geometric? #785

Open pradeepsinngh opened 4 years ago

pradeepsinngh commented 4 years ago

🚀 Feature

Is there any official implementation of Point Cloud Super Resolution with Adversarial Residual Graph Networks in pytorch_geometric?

Official Code : https://github.com/wuhuikai/PointCloudSuperResolution Corresponding Paper URL : https://arxiv.org/abs/1908.02111

Motivation

Point Cloud Super Resolution uses Graph Convolution Network and given that pytorch_geometric is currently the best package to build graph based models -- I believe it will be a good idea to use pytorch_geometric.

pc_sr

Could you show how to build this model? Or are you in process of building/ incorporating anything similar in pytorch_geometric?

Thanks.

rusty1s commented 4 years ago

There is currently no implementation of this paper but from a quick look it should be quite straightforward to implement. I will add this as a feature. If you make any progress on this, please let me know :)

pradeepsinngh commented 4 years ago

Sure. thanks ;)