ScaLe-INR is a multi-branch INR architecture that applies directional scaling per the Fourier inverse theorem and a directional edge guidance loss to disentangle scales and improve reconstruction fidelity.
FoV-NeRF: Foveated Neural Radiance Fields for Virtual Reality,
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
ErgoGlide is a finger-worn trackball paired with a hive-like virtual keyboard that improves typing accuracy, ergonomics, and usability in VR per three user studies, with speed gains after training.
Proposes a reliability-aware frequency modeling framework using geometry-guided detail-demand prior and frequency-aware reliability map to guide high-frequency detail injection in low-resolution 3DGS, with a unified optimization scheme that improves fidelity on benchmarks.
citing papers explorer
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ScaLe-INR: Scale and Learn Implicit Neural Representations
ScaLe-INR is a multi-branch INR architecture that applies directional scaling per the Fourier inverse theorem and a directional edge guidance loss to disentangle scales and improve reconstruction fidelity.
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ErgoGlide: A Wearable Trackball Device for Ergonomic Text Entry in Virtual Reality
ErgoGlide is a finger-worn trackball paired with a hive-like virtual keyboard that improves typing accuracy, ergonomics, and usability in VR per three user studies, with speed gains after training.
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ConFi-GS Confidence-Guided High-Frequency Injection for 3D Gaussian Splatting Super-Resolution
Proposes a reliability-aware frequency modeling framework using geometry-guided detail-demand prior and frequency-aware reliability map to guide high-frequency detail injection in low-resolution 3DGS, with a unified optimization scheme that improves fidelity on benchmarks.