AI RESEARCH
FM-SIREN & FM-FINER: Implicit Neural Representation Using Nyquist-based Orthogonality
arXiv CS.CV
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ArXi:2509.23438v3 Announce Type: replace Existing periodic activation-based implicit neural representation (INR) networks, such as SIREN and FINER, suffer from hidden feature redundancy, where neurons within a layer capture overlapping frequency components due to the use of a fixed frequency multiplier. This redundancy limits the expressive capacity of multilayer perceptrons (MLPs