Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/JAXNeRF

JAXNeRF

Reported on 6 benchmarks across 1 task · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

Novel View SynthesisonNeRF
LPIPS· 2022-07-30
0.051
best: 0.028 (Deformable Beta Splatting)
SOTA
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures arXiv:2208.00277
Novel View SynthesisonNeRF
PSNR· 2022-07-30
31.65
best: 34.66 (Deformable Beta Splatting)
SOTA
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures arXiv:2208.00277
Novel View SynthesisonNeRF
SSIM· 2022-07-30
0.952
best: 0.973 (Deformable Beta Splatting)
SOTA
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures arXiv:2208.00277
Novel View SynthesisonLLFF
LPIPS· 2022-07-30
0.173
best: 0.149 (TensoRF + NeRFLiX)
SOTA
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures arXiv:2208.00277
Novel View SynthesisonLLFF
PSNR· 2022-07-30
26.92
best: 27.39 (TensoRF + NeRFLiX)
SOTA
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures arXiv:2208.00277
Novel View SynthesisonLLFF
SSIM· 2022-07-30
0.831
best: 0.867 (TensoRF + NeRFLiX)
SOTA
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures arXiv:2208.00277