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 ...

Given a set of multi-view images of the target texture with meso-structure, our model synthesizes Neural Radiance Field (NeRF) textures, which can then be applied to novel shapes, such as the skirt ...