qiminchen / unist Goto Github PK

Hi, thanks for your great work. I wonder if you could kindly release the pre-trained models for talltable-shorttable and armchair-armless chair used in your 3D experiments? Thank you so much!

Hi,
You have an amazing paper and awesome results!
As I may wish to check the results on other datasets, could you please share how you create your hdf5 files of the datasets?

Thanks!
Amir

i couldn't find the dataset. can you please help as it is in hfd5. i want to implement it but can't find dataset

Why is the test output of the autoencoder empty after the marching cube？

Hi,
First, thank you for sharing this awesome project! However, I encountered one issue about reproducing the one-sided CD experiment (Table. 3).

I'm trying two chamfer distance implementations(1. https://github.com/chrdiller/pyTorchChamferDistance,
2. https://kaolin.readthedocs.io/en/latest/modules/kaolin.metrics.pointcloud.html#kaolin.metrics.pointcloud.sided_distance), but the result of my implementations are much smaller (about 10x) than reported values in Table. 3.
(e.g.

)

Could you share the implementation or hint some resources for us?

Again, thank you for your great efforts!

Cheers,
Yung