Jie Qin

Disco4D: Towards Prior-Free Motion Representation Learning for Point Cloud Videos Via Self-Disentangled Contrastive Pre-Training

This work proposes Disco4D, a self-disentangled pre-training to extract expressive 4D representations, to separate motion learning in the high-level latent space of the MAE bottleneck while performing geometric reconstruction in the low-level Euclidean space.