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Fast and Deep Deformation Approximations

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FFDA

Fast and Deep Deformation Approximations

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Dependencies

Launch

import sys

sys.path.insert(0, r"PATH/OF/YOUR/CODE")

from maya import cmds, OpenMaya

from fdda.maya import bind, train, generate_pose
from fdda.training.PyTorch.settings import Settings


selected = cmds.ls(selection=True, long=True)
if len(selected) != 2:
    raise RuntimeError("Selected Source and Destination !")
source, destination = selected

settings = Settings.default()
settings.split = 0.1
settings.units = 256
settings.device = Settings.kGpu

output_path = train(source, destination, settings, build_pose=True, num_pose=40)
bind(destination, output_path)

Results

Basic cylindre

CylinderTest.mp4

Dana

Models made by Tristan Cordeboeuf at The Beast Makers.

TestDana.mp4

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Fast and Deep Deformation Approximations

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  • Mathematica 48.0%
  • Python 43.3%
  • C++ 8.7%