Neural fields have achieved impressive advancements in view synthesis and scene reconstruction. However, editing these neural fields remains challenging due to the implicit encoding of geometry and ...

GEAL is a novel framework designed to enhance the generalization and robustness of 3D affordance learning by leveraging pre-trained 2D models. We employ a dual-branch architecture with Gaussian ...