Comments (8)
AndresCasado
commented on June 19, 2024
We used the CMU dataset. You can predict for any SMPL pose, but poses too far from our training set will be problematic.
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dancasas
commented on June 19, 2024
Hi @nagexiaochengzi, we use the AMASS sequences that are specified in Figure 7 of our paper. But our project should be compatible with any SMPL pose, although the quality of the results might vary depending on how different from the training set your test poses are.
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nagexiaochengzi
commented on June 19, 2024
Your zip file is corrupted
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AndresCasado
commented on June 19, 2024
Can you specify which one? I just tried downloading and unzipping DatosDanCompressed.zip and it works
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nagexiaochengzi
commented on June 19, 2024
The downloaded dataset cannot be unpacked
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nagexiaochengzi
commented on June 19, 2024
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AndresCasado
commented on June 19, 2024
OneDrive usually fails at compressing multiple selected files. Try to download them one by one.
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nagexiaochengzi
commented on June 19, 2024
thanks
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Related Issues (16)
- dataset problem HOT 3
- Can't run the code HOT 21
- Some problems about `Running the project` HOT 1
- Can't find 'poses' HOT 12
- Chumpy uses deprecated imports from Numpy
- how to use events.out.tfevents.xxxxx? HOT 1
- run
- other paper HOT 4
- DatosGreen doesn't match the expected filenames HOT 12
- The links of datasets and model weights are expired. HOT 2
- The program has no errors, but it does not produce any results. HOT 6
- The partial code is now runnable, but there are still some minor issues. HOT 11
- Visualized result only shows the clothes, not the body model. It should be the body model wearing the clothes, right? HOT 2
- The function of reconstruction_script.py is ？ HOT 2
- Which AMASS_.npz should be placed into the test_sequence folder? HOT 2
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