JA-SIREN: Deterministic Initialization for Sinusoidal Networks via Spectral Matching 事件

JA-SIREN: Deterministic Initialization for Sinusoidal Networks via Spectral Matching arXiv:2606.06671v1 Announce Type: new Abstract: Existing implicit neural representation (INR) approaches suffer from stochastic initialization that does not guarantee consistent or high-quality performance across runs, with variations reaching more than 2.5 dB (78%) in image regression. This variation is problematic for scientific computing and simulation, where result reproducibility is crucial. To address thi