Non-uniform Sampling Strategies for NeRF on 360° images
EventNeRF: Neural Radiance Fields from a Single Colour Event Camera
AK on X: "Apple announces FastSR-NeRF: Improving NeRF Efficiency on Consumer Devices with A Simple Super-Resolution Pipeline paper page: https://t.co/QeDOUVcEwB Super-resolution (SR) techniques have recently been proposed to upscale the outputs of
3D volumetric rendering with NeRF
Rendering quality in PSNR on the NeRF synthetic dataset. Our VFR... | Download Scientific Diagram
3D volumetric rendering with NeRF
3D reconstruction. A Review on Point — NeRF | by Prim Wong | Medium
PDF] Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields | Semantic Scholar
PDF] Block-NeRF: Scalable Large Scene Neural View Synthesis | Semantic Scholar
Quantitative comparison between Super-NeRF and the baselines on PSNR. | Download Scientific Diagram
Rendering quality in PSNR on the NeRF synthetic dataset. Our VFR... | Download Scientific Diagram
Daniel Duckworth on X: "NeRF-W improves on the SOTA by >5dB in PSNR and reduces error on other metrics by 20-50%. Qualitatively, NeRF-W produces consistent, crisp 3D geometry without fog or checkerboard
Buildings | Free Full-Text | Inspection-Nerf: Rendering Multi-Type Local Images for Dam Surface Inspection Task Using Climbing Robot and Neural Radiance Field
MIMO-NeRF
GP-NeRF
PSNR on the NeRF Synthetic dataset. | Download Scientific Diagram
Using the Ref-NeRF codebase to reproduce the table in the paper. · Issue #32 · google-research/multinerf · GitHub
Non-uniform Sampling Strategies for NeRF on 360° images