AINeutralarXiv – CS AI · Mar 34/106
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Content-Aware Frequency Encoding for Implicit Neural Representations with Fourier-Chebyshev Features
Researchers propose Content-Aware Frequency Encoding (CAFE), a new method for Implicit Neural Representations that addresses spectral bias limitations through adaptive frequency selection. The technique uses parallel linear layers with Hadamard products and extends to CAFE+ with Chebyshev features, demonstrating superior performance across multiple benchmarks.