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Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation

6 upvotes · 23 JUL 2026 · Hyunmin Cho, Jaejun Yoo, Kyong Hwan Jin

This paper develops a new architecture for implicit neural representations (INRs) that uses sinusoidal recurrence to improve the quality of the representations, and it demonstrates that this approach can lead to better image and 3D representations with fewer parameters and less computation.

implicit neural representationsrecurrent neural networkssinusoidal activationsspectral analysisneural image synthesis