ThibaultGROUEIX / AtlasNet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
http://imagine.enpc.fr/~groueixt/atlasnet/
MIT License
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test #87

Open tang-y-q opened 1 year ago

tang-y-q commented 1 year ago

Hi,thanks for your good job! I'd like to ask you some questions. Can I reconstruct my data directly using your trained parameters? When I use your pre-trained network to reconstruct my data, i get a bad result. Is this because the network is not generalization capabilities enough?

ThibaultGROUEIX commented 1 year ago

Hi @tang-y-q

Can you share an example of your data please? Are you following this script ? https://github.com/ThibaultGROUEIX/AtlasNet/blob/master/doc/demo.md#usage

Cheers, Thibault

tang-y-q commented 1 year ago

Hi @ThibaultGROUEIX thank you for your reply. I rebuilt my data according to the method you said, but the effect was not ideal. And here is my data. data.zip I sampled the point cloud on the grid model of turbine blade, and then reconstructed the surface of the point cloud. However, there is a big gap between the surface I reconstructed and the original model.

best, Yukon

ThibaultGROUEIX commented 1 year ago

Screenshot 2023-02-06 at 18 55 00 Screenshot 2023-02-06 at 18 55 42

Looking at your point cloud and the reconstruction, it's most likely because your point cloud is out of distribution of the ShapeNet dataset (that AtlasNet was trained on).