Shubh Maheshwari

Hey @DegardinBruno, We tried again with 32 batch size but the loss for the generator is exploding. ``` [Epoch 648/1200] [Batch 1959/1969] [D loss: -0.036133] [G loss: -240803.156250] [Epoch 648/1200]...

1. We are using cross-subject 2. We are using mapping network's depth = 4 Can you provide a single command to train on NTU-120? Similar to one provided in the...

 @DegardinBruno This is the loss curve we are getting. We didn't make any changes to the code

I am not sure if this is related but I faced a similar problem while using Ipyvolume which uses a similar setup to take a screenshot. Kindly see: https://github.com/maartenbreddels/ipyvolume/blob/285d0b187f659ac2948523520414a26dd2701f5b/ipyvolume/pylab.py#L1210 Is...

Can you elaborate on how the average motion is calculated ? Do you use something like [torch.nn.funcational.grid_sample](https://pytorch.org/docs/stable/generated/torch.nn.functional.grid_sample.html) or you take a 3x3 window and average the values in that window...

Is the above averaging also used to find visible vertices in ` vertex pair set (P)` during optimisation ?

@BaldrLector were you able to resolve the issue? I added a print function at [line 99 of marching_cubes.cu](https://github.com/dgrzech/sobfu/blob/c83646582a146a3f4b8d8ad62de31ec60f8004d6/src/kfusion/cuda/marching_cubes.cu#L99) which somehow made the module work. Below is the result on frame...

Hi, @pablorpalafox @AljazBozic, This is a groundbreaking work with so many applicants. thanks for this source code. I am also trying to implement 3D Non-Rigid Reconstruction. Your approach to use...

@Algomorph definitely that's a great idea.

Hey @pablopalafox and @AljazBozic, I need some help with the keyframe integration. 1. During non-rigid registration, for some timestep T. Neural tracking will take the source frame as the last...