Continous Intermediate Token Learning - PyTorch implementation

Official Pytorch implementation of the CVPR2023 paper: Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation

Prerequisites

• Python 3.10
• PyTorch 1.13.1 with CUDA
• NumPy v1.24.2
• transforms3d 0.4.1

Usage

train.py: python train.py ["cmu"/"lafan"] [dataset path]

eval.py: python eval.py ["cmu"/"lafan"] [dataset path] [ckpt]

A pre-trained CMU model can be found here.