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Research questionHow can implicit neural representations capture high-frequency detail without memorizing noise or requiring fragile tuning?Periodic activations can fit fine structure but may also memorize noise, whereas more localized activations suppress noise at the cost of low-frequency bias. The difficulty is adapting spectral selectivity to the target signal without adding substantial computation or delicate regularization choices.
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Latest papersRecent research connected to this question, newest first.Spectral Gating via Damped Oscillations for Adaptive Implicit Neural RepresentationsThe source studies adaptive spectral gating in coordinate-based INRs using jointly optimized damped-oscillator activation parameters, with a coarse-to-fine training behavior. The supplied evidence reports experiments against established INR methods and competitive or state-of-the-art reconstruction results without task-specific hyperparameter tuning, but it does not specify the signal modalities or deployment constraints.research paper · Sep 3, 2026
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