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Hi, thank you for your interest! It's actually a simple trick to avoid overfitting of the canonical SDF network to certain human poses. This helps to keep a more consistent canonical human shape. For example, more back details can be preserved for 3D human reconstruction in frames where the human is facing the camera frontally.
Hello, thank you very much for your work and published code.
I noticed at the code snippet below:
vid2avatar/code/lib/model/v2a.py
Lines 106 to 108 in a1ab86a
SMPL condition for SDF network is zeroed out before 20 epochs and every 20 epochs afterwards. Can I know why is it so ?
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