Multimodal model

DexWM (Dexterous Interaction World Model)

DexWM is a dexterous interaction world model for learning hand-object interactions from human videos. It predicts future latent states from past states and finger-level actions, aiming to model fine-grained manipulation more accurately than coarse-action world models.

Type
Multimodal
Weights
Closed