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Regarding - Decoders #14

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PraveenKumar-Rajendran opened this issue Jun 10, 2022 · 1 comment
Closed

Regarding - Decoders #14

PraveenKumar-Rajendran opened this issue Jun 10, 2022 · 1 comment

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@PraveenKumar-Rajendran
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Hello @Zzh2000 @pengsongyou,
First and foremost, thanks a lot for your NICE project :)

I have a question regarding the decoders,

  1. Could you provide any further instruction/code for the Point Cloud Encoder-Decoder network that is trained
    for obtaining the pretrained decoder part?

  2. [I can't find/figure out] the part of the code where you fixed the weights for Mid-&Fine-level decoders, as given in the paper.
    fixed_weight
    Any pointers will be helpful.

I am sorry if these questions are naive or if the answer already appears on the git but I could not find a clear solution.

Thank you very much.

@Zzh2000
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Zzh2000 commented Jun 11, 2022

Hi,

thanks for your interest in our work!

  1. The Point Cloud Encoder-Decoder network is modified upon the ConvOnet, you can check https://github.com/autonomousvision/convolutional_occupancy_networks and our supplementary for more details.
  2. There is no explicit code for fixing the decoder weights. We fix the weight just by not adding it to the optimizer.

Best,
Zihan

@Zzh2000 Zzh2000 closed this as completed Jun 11, 2022
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