usage of gridding_loss

[Wei-Baldwin-Zeng]

Hi, thanks for the amazing work.

I check the "train.py" code, but it seems not using "gridding_loss", is there any reason for that? Or I just need to add the "gridding_loss" in the "_loss".

Thanks in advance

[AlphaPav]

by the way, what is the weight of gridding loss?
Is gridding_loss: sparse_loss : dense_loss = 1:1:1?
Thanks :) !

[hzxie]

You need to train the whole network with Chamfer Distance. It reaches CD ~0.40 on ShapeNet.
Then, you need to fine-tune the network with Gridding Loss + Chamfer Distance on the Coarse Point Cloud.
Finally, you fine-tune the network with Chamfer Distance. Chamfer Distance is taken as a metric, therefore, you cannot get lower CD without using Chamfer Distance as a loss.

[hzxie]

The weight of gridding loss is defined in config.py.

GRNet/config.py

Lines 68 to 69 in 1f4b421

	__C.NETWORK.GRIDDING_LOSS_SCALES = [128]
	__C.NETWORK.GRIDDING_LOSS_ALPHAS = [0.1]

[AlphaPav]

The weight of gridding loss is defined in config.py.

GRNet/config.py

Lines 68 to 69 in 1f4b421

	__C.NETWORK.GRIDDING_LOSS_SCALES = [128]
	__C.NETWORK.GRIDDING_LOSS_ALPHAS = [0.1]

Oh, I see, thanks!

[hzxie]

@AlphaPav
Actually, I'm not sure it is the best value for Girdding Loss.
Try to use the following value:

 __C.NETWORK.GRIDDING_LOSS_SCALES  = [128, 64] 
 __C.NETWORK.GRIDDING_LOSS_ALPHAS  = [0.1, 0.01]