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about the meshgraphormer architecture problem #1

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zhangzhenyu-zzy opened this issue Sep 8, 2021 · 2 comments
Closed

about the meshgraphormer architecture problem #1

zhangzhenyu-zzy opened this issue Sep 8, 2021 · 2 comments

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@zhangzhenyu-zzy
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Hello, I want to know two things,

  1. I want to prove whether the input in the meshgraphormer framework and the information in the attention mechanism are as I drew the picture
    IMG_20210908_200139

  2. I want to know that grid features are obtained by extracting features through CNN. Its dimension is 49×1024. It is not marked in the paper that it uses upsampling. How did it transform from 49×1024 to 49×2051?
    image

@kevinlin311tw
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Q1: There are (49+14+431) input tokens. All tokens have 2051-Dim.

Q2: We apply MLP for the transform. In Sec 4.1, we mentioned that we apply MLP to make the size of all input tokens consistent. After that, all input tokens have 2051-Dim.

@zhangzhenyu-zzy
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thank you very much!

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