Zicong chen comments

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                                            Zicong chen

There is a gap in metrics between the trained and pretrained models.

Thanks for your reply !

There is a gap in metrics between the trained and pretrained models.

Thank you very much for the update. I updated the code and re-trained and found that the gap didn't get a good improvement, and there is a general 0.4 to...

There is a gap in metrics between the trained and pretrained models.

I have added the argument `--config configs/N3V/n3v_base.json` before.And I double checked the config settings. Do you think there are any other factors that could be making the results abnormal, such...

There is a gap in metrics between the trained and pretrained models.

I attach the results of my training here.There are some scene where the psnr drop is small, but generally did not reach the pretrain model. And my command use like...

There is a gap in metrics between the trained and pretrained models.

I checked further and found my input.ply file, I found some discrepancies between the number of points in my initialised point cloud and the number of points in the pre-training...

There is a gap in metrics between the trained and pretrained models.

> I appreciate the detailed check. I agree with your observations. In my experiments, I used a sparse point cloud, which might have left some parts of the point cloud...

There is a gap in metrics between the trained and pretrained models.

I checked the dynamic_point_cloud.ply of the pre-trained model and my trained model and found some unusual differences, in my dynamic point cloud my `motion_xyz` is only 36 time points, but...

There is a gap in metrics between the trained and pretrained models.

> also want to ask if anyone has reproduced the 33.2 PSNR for cook_spinach scene? the best i could get is only a little more than 32. In my rendering...