Researchers have developed a new method using sinusoidal recurrence to enhance implicit neural representations (INRs). This iterative approach enriches the spectral support of latent representations, leading to improved performance in tasks like image super-resolution, NeRF, and Signed Directional Distance Function (SDF) estimations. The proposed architecture achieves higher fidelity with fewer parameters and optimization steps compared to existing feed-forward INRs. AI
IMPACT This research could lead to more efficient and higher-fidelity models for various computer vision and 3D representation tasks.
RANK_REASON The cluster contains two academic paper preprints detailing a new method for implicit neural representations.
Read on Hugging Face Daily Papers →
- arXiv
- Eccv 2026
- Hugging Face
- Implicit neural representations (INRs)
- Nerf
- Recurrent Sinusoidal INRs
- Signed Directional Distance Function
- Sinusoidal INRs
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