I estimated the occupancy of the object point cloud in the demo data, and got very small values like this.
I also estimated with full object points or with dense grid coordinates (instead of 1500 n_pts used above). The results were weird too. I just forwarded the model with centered object points. Did I miss any steps?
I am using the multi_category_weights.pth now, and I am curious about the reconstruction performance of the pretrained nets.
I estimated the occupancy of the object point cloud in the demo data, and got very small values like this.
![image](https://user-images.githubusercontent.com/32119671/147484501-13aa1285-3dc7-4ae2-bb65-2b9797dca46a.png)
I also estimated with full object points or with dense grid coordinates (instead of 1500 n_pts used above). The results were weird too. I just forwarded the model with centered object points. Did I miss any steps? I am using the
multi_category_weights.pth
now, and I am curious about the reconstruction performance of the pretrained nets.