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Found 3 papers, 3 papers with code
SMPL-IK: Learned Morphology-Aware Inverse Kinematics for AI Driven Artistic Workflows
Inverse Kinematics (IK) systems are often rigid with respect to their input character, thus requiring user intervention to be adapted to new skeletons.
Motion Inbetweening via Deep $Δ$-Interpolator
We show that the task of synthesizing human motion conditioned on a set of key frames can be solved more accurately and effectively if a deep learning based interpolator operates in the delta mode using the spherical linear interpolator as a baseline.
Ranked #1 on
Motion Synthesis
on LaFAN1
ProtoRes: Proto-Residual Network for Pose Authoring via Learned Inverse Kinematics
Our work focuses on the development of a learnable neural representation of human pose for advanced AI assisted animation tooling.
