World Models for Learning Dexterous Hand-Object Interactions from Human Videos

ArXi:2512.13644v2 Announce Type: replace-cross Modeling dexterous hand-object interactions is challenging as it requires understanding how subtle finger motions influence the environment through contact with objects. While recent world models address interaction modeling, they typically rely on coarse action spaces that fail to capture fine-grained dexterity. We, therefore,