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Is there a way to generate body mesh based on model output at real-time? Isn't the model output compatible with SMPL paramters and we just need a formula like Vertices_new = Vertices_template + shape_param * beta + pose_param * pose because we have the pose? Why do we need python -m visualize.render_mesh, which seems to construct mesh from the output .mp4 video, and would take quite a few minutes?
Maybe somewhere I understood wrong?
The text was updated successfully, but these errors were encountered:
The SMPL mesh is currently constructed from the HumanML pose locations according to https://github.com/EricGuo5513/HumanML3D , hence there is a SMPLlify optimization in the loop that is not real-time. It should be possible to extract SMPL from the HumanML rotations (with some tweaks since they don't have the same rest pose), this should make the mesh visualization run in real-time.
Is there a way to generate body mesh based on model output at real-time? Isn't the model output compatible with SMPL paramters and we just need a formula like
Vertices_new = Vertices_template + shape_param * beta + pose_param * pose
because we have thepose
? Why do we needpython -m visualize.render_mesh
, which seems to construct mesh from the output.mp4
video, and would take quite a few minutes?Maybe somewhere I understood wrong?
The text was updated successfully, but these errors were encountered: