Modeling

Neural Information Processing Systems 

We propose a new representation for encoding 3D shapes as neural fields. The representation isdesignedtobecompatible withthetransformer architecture and to benefit both shape reconstruction and shape generation. Existing works on neural fields aregrid-based representations withlatents defined onaregular grid.

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