Comments (1)
Yes. We've tried other setting like:
- Split the training data to two parts (A, B). Measure the FID with (generated, A) for fake and (A, B) for real.
- Measure FID of fake by (generated, testing).
Numbers are slightly different but the trend is the same.
from dancing2music.
Related Issues (20)
- aud_3cls.ckpt is needed!!
- Training data structure HOT 4
- How did you achieve Photo-Realisitc? HOT 3
- What version are you use preprocess package
- 3D points
- Which ckpt file should I use?
- Demo.py unrecognized arguments HOT 1
- error with trian_decomp.py HOT 2
- How to detect kinematic beats from Ddiff? HOT 1
- Plan to release Pretrained model and dataset?
- FileNotFoundError: [WinError 3] The system cannot find the path specified: './logs\\Decomp' & demo.py: error: argument --thr: invalid int value: 'THR' HOT 1
- Address failure https://www.dropbox.com/s/1c7s7rn7z3pvhp9/Model_MY.zip
- Help! How do I run the code? HOT 3
- How to detect kinematic beats?
- where is the dataset? HOT 21
- FileNotFoundError in Dancing2Application
- preprocess mudule error HOT 11
- What is the description of the data structure? HOT 3
- Operands could not be broadcast together HOT 7
- Output video length not match the input audio length HOT 9
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