Animesh Karnewar*

GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning

"Encoding information from 2D views of an object into a 3D representation is crucial for generalized 3D feature extraction. Such features can then enable 3D reconstruction, 3D generation, and other applications. We propose (Gradient Origin Embeddings) that encodes input 2D images into any 3D represe…