705062791 / pgbig Goto Github PK

Hi
I notice that you claimed in your abstract that this method outperforms previous approaches by large margins. Although Table.1 has shown this superiority, one of the important issues I have to point out is that the real SOTA is Motion Prediction using Trajectory Cues. However, compared with this paper, your method has a noticeable performance drop on both Human3.6M and CMU-MoCap datasets. In this case, it is hard to make readers agree with the performance superiority of your method claimed in the paper.

I notice the number of joints in paper is 22(32-10), but the figure 4 has 24 joints. And in the provided code, there are 32 points.

I notice that in line 273~276 of the file "main_cmu_3d.py", p3d_out_4 is treated as follow:

        p3d_out_4 = p3d_h36.clone()[:, in_n:in_n + out_n]

        p3d_out_4[:, :, dim_used] = p3d_out_all_4[:, seq_in:]

        p3d_out_4[:, :, index_to_ignore] = p3d_out_4[:, :, index_to_equal]

        p3d_out_4 = p3d_out_4.reshape([-1, out_n, all_dim//3, 3])

Will this result in some joints being counted multiple times when calculating MPJPE?

Thanks

Hi,
thanks for sharing the great work!
I have notice that you have used split 2 for both validation and testing in your code of main_h36m_3d.py and main_3dpw_3d.py
I doubt if it's unfair to use the same data for testing and validation

Thanks

作者你好，我尝试复现你的代码，GPU用的3090，但我发现在h3.6m数据集上训练50个epoch需要20多个小时，请问你的情况也是如此吗？我在想是不是我哪里设置错了或者是服务器出现了问题。

Hello, do you know what the frame rates for the CMU-mocap and 3dpw datasets after preprocessing are? It seems that the frame rate for 3dpw is not 25 fps, and the frame rate for cmu-mocap is downsampled by 2 but is the original frame rate 50 fps?
Thank you very much.

Hi,
Thanks for sharing your work!
I have some problems with the structure of the T-DGCN as here.
As illustrated in Eq.4 in the paper, the intermediate result Y is left-multiplied by an adjacency matrix $\in \mathbb{R}^{L \times L}$.
While as in the code, it seems you multiply Y with a weight matrix weight_seq.
I wonder if I am right and could you please explain something about it?

Thanks,

Hi @705062791 ,

Thanks for your excellent work!

About the visualization, do you know how to generate the results as in Figure 5 in your paper?