Comments (1)
Hi,
The base depth is rendered from the SMPL model which is estimated from TrackNet. It seems TrackNet did not perform well on this sample and SMPL is not aligned well in the image. Here is a link (https://vault.sfu.ca/index.php/s/lcyAcQLC8i4Wy45) to the other pretrained TrackNet model. You can try to use this one. You can also try some other state-of-the-art SMPL estimation methods to replace the original TrackNet for better performance.
from self-supervised-human-depth.
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from self-supervised-human-depth.