MeshFM: 2D Features Are All You Need for 3D Shape Understanding

Jinfan Zhou, Richard Liu, Itai Lang +1

We present MeshFM, an efficient feedforward framework for extracting rich features from 3D inputs. Our method distills 2D features from visual foundation models into 3D. We train a…