PEPS: Positional Encoding Projected Sampling
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Guillaume Perez, Janarbek Matai, Takahiro Harada
Visit resource ↗Description
PEPS: Positional Encoding Projected Sampling presents PEPS, a learned positional encoding that uses absolute PE projections as sample points for grid encoders in implicit neural representations.
The GPUOpen PDF compares projected sampling against grid and hash encodings for high-frequency neural field detail.
Practitioners working on neural materials or radiance fields should know MLP encoders and GPU memory tradeoffs.
GPUOpen distributes the PDF without login.
Link last verified accessible on 2026-09-27.
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