  This work introduces a novel strategy for generating synthetic training data
for 2D and 3D pose estimation of animals using keyframe animations. With the
objective to automate the process of creating animations for wildlife, we train
several 2D and 3D pose estimation models with synthetic data, and put in place
an end-to-end pipeline called ZooBuilder. The pipeline takes as input a video
of an animal in the wild, and generates the corresponding 2D and 3D coordinates
for each joint of the animal's skeleton. With this approach, we produce motion
capture data that can be used to create animations for wildlife.
