HaoXu

Got it. Your results are slightly better than mine, but it looks like there is still a large margin between the results of the re-trained model and those shown in...

Thanks. For the question you mentioned above, I am sorry that I don't know. And I notice that you have opened another issue about this. Maybe you should wait for...

Thanks for your reply. I am not asking about using markdown, but anyway, I have solved the problem.

Hello, I think the problem is what I mentioned in this [issue](https://github.com/lucidrains/denoising-diffusion-pytorch/issues/213#issue-1698550906).

Hi, Thanks for your interest! Unfortunately, we cannot release the code of this part right now, but I may try my best to help you find the problem. Could you...

I see. So here are my suggestions, 1) You may check the classification accuracy of the mask prediction module. The accuracy should be around 0.9. 2) The `pred_mask` should be...

If I remember correctly, I trained them separately.

I see. Actually, it may not be proper to directly regress the rotation matrix since the degree of freedom is three not nine (3*3 rotation matrix). There are some packages...

Hi, If I understand your problem correctly, you can obtain a higher accuracy of the overlapping mask prediction using my code but cannot obtain a normal result when changing to...

If your mask prediction accuracy is around 90% as you mentioned before, you should obtain similar shapes after applying the masks to the input point clouds. For Fig. 5, we...