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Hello, thank you for releasing this amazing work.
I would like to reproduce the results on the humandml3d dataset and have some questions about it:
About the hyperparameters, in the paper you use the number of iterations, while the configs in the code use END_EPOCH. Do they mean the same thing for you, or is it that nb_iterations = END_EPOCH * nb_batches ?
I also have a question about the real time application of the method; is it possible to use the method for motion captioning in real time, for example a motion is being played and the description of motion is quite in sync as the motion is being generated, so there is no big lag between the two?
The text was updated successfully, but these errors were encountered:
@mJones00 Have you solve the reproducing problem?
I set END_STEPS instead of END_EPOCH, then train 150K steps for stage1, 300K for stage2, 300K for stage3. But I only get 40.6 for RP_1 as follow:
@mJones00 Have you solve the reproducing problem?繁殖问题解决了吗? I set END_STEPS instead of END_EPOCH, then train 150K steps for stage1, 300K for stage2, 300K for stage3. But I only get 40.6 for RP_1 as follow:我设置 END_STEPS 而不是 END_EPOCH,然后为 stage1 训练 150K 步骤,为 stage2 训练 300K,为 stage3 训练 300K。但我只得到 RP_1 的 40.6,如下:
Hello, I used the official checkpoint's VAE along with 300 epochs for stage 2 and 100 epochs for stage 3, but the model I trained only achieved around 0.3 R Top1, not even reaching 0.4. Have you made any modifications?
Hello, thank you for releasing this amazing work.
I would like to reproduce the results on the humandml3d dataset and have some questions about it:
I also have a question about the real time application of the method; is it possible to use the method for motion captioning in real time, for example a motion is being played and the description of motion is quite in sync as the motion is being generated, so there is no big lag between the two?
The text was updated successfully, but these errors were encountered: