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Clinton A Mo

2 accepted papers

2024

Motion Keyframe Interpolation for Any Human Skeleton using Point Cloud-based Human Motion Data Homogenisation

ECCV 2024poster

"In the character animation field, modern supervised keyframe interpolation models have demonstrated exceptional performance in constructing natural human motions from sparse pose definitions. As supervised models, large motion datasets are necessary to facilitate the learning process; however, sinc…

Cited by 0SourcePDFScholar
2023

Continuous Intermediate Token Learning With Implicit Motion Manifold for Keyframe Based Motion Interpolation

CVPR 2023poster

Deriving sophisticated 3D motions from sparse keyframes is a particularly challenging problem, due to continuity and exceptionally skeletal precision. The action features are often derivable accurately from the full series of keyframes, and thus, leveraging the global context with transformers has b…