AMD presented new research at the I3D Symposium titled “PEPS: Positional Encoding Projected Sampling”, introducing a new method for positional encoding that can improve neural texture compression. How Does Neural Texture Compression Work? Neural Texture Compression works by training what are known as INRs, or “Implicit Neural Representations,” to learn coordinate-to-signal functions. By projecting texture coordinates into a higher-dimensional embedding and feeding this information to a multi-layer perceptron, it’s possible to represent and compress textures significantly. PEPS: Positional Encoding Projected Sampling PEPS introduces a new method to improve the efficiency of this process by changing how positional encoding is used. […]
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