Refined Grid Sampling for Efficient Implicit Neural Representations of Large-Scale Scientific Data
cs.LG
Submitted: 2026-10-09
Updated: 2026-10-09
Sources
- NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)
- Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
- Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks
- Nonparametric Teaching of Implicit Neural Representations
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks