Lack of 'SEED3.npy' and 'SEED4_Gaussian.npy'

[WilliamHBW]

Hello, in the utils/network.py, 'SEED3.npy' and 'SEED4_Gaussian.npy' are loaded but are not found in the repository. Could you upload these two files? Thanks.

[huzi96]

Random seeds used in the code are available at Google Drive.

[whxhy666]

Hello, why does the size of the bpp increase as the epoch increases when training the network, does it tend to a steady value? And what are the lamada values for the five points of your method on the R-D curve?

[huzi96]

I also observed that the bpp tends to increase when the training continues. I currently don't have an explanation for it. My intuition: using Gaussian entropy model to control the rate of quantized network parameters with Adam optimization is not a perfect solution. Hence, as mentioned in the paper, I also need to change the width of the architecture to control the rate.

I will be posting details on the requested lambda and network arch configurations later today or tomorrow.

[whxhy666]

Thank you, I have another question, your method was compared with the R-D performance of G-PCC, I used the official G-PCC code and found that only bpp was counted, not D1-PSNR. If the statistics part is your implementation, can you share the corresponding code?

[huzi96]

G-PCC always losslessly encodes a point cloud. It achieves different rate-distortion tradeoffs by setting different positionQuantizationScale in the configuration (e.g. cfg/octree-predlift/lossy-geom-lossy-attrs/longdress_vox10_1300/r05/encoder.cfg).

[whxhy666]

Thank you. Do you remember the lamda value mentioned before? Thank you for taking the time to reply me!

[huzi96]

I was using lambda from 150 to 600, with network width ranging from 8 to 32. Sorry that the exact settings to generate the R-D curves are pending due to technical issues.

[whxhy666]

Does the network width setting refer to this --chanstr 8,16,8,8; How is the range from 8 to 32 modified

[huzi96]

Try the following: 8,8,8,8; 8,16,8,8; 8,32,8,8;

[whxhy666]

The R-D curve in the paper has five points for a frame point cloud. How do you control the two variables lamda and charstr

[huzi96]

I am having difficulties retrieving my records so I cannot provide the exact settings for now. My impression tells me that they are the following: --lambda 600 --chanstr 8,8,8,8 --ch 3 --lambda 400 --chanstr 8,8,8,8 --ch 3 --lambda 200 --chanstr 8,8,8,8 --ch 3 --lambda 200 --chanstr 8,16,8,8 --ch 3 --lambda 100 --chanstr 8,32,8,8 --ch 3 I am not 100% percent sure since this is what I recall. Actually one can freely choose different settings for different R-D tradeoffs.

[whxhy666]

thank you very much!!