Abstract: Existing positional encoding methods in transformers are fundamentally signal-agnostic, deriving positional information solely from sequence indices while ignoring the underlying signal ...
Positional encoding has become the de facto standard for grounding deep neural networks on discrete point-wise positions, and it has achieved remarkable success in tasks where the input can be ...
This repository is a modified version of RMAvatar, where we replace the original HexPlane (Tri-plane) feature extraction module with a pure MLP + Positional Encoding approach for canonical space ...
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