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Models/SNeRG

SNeRG

Reported on 6 benchmarks across 1 task · 1 paper · 1 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
    0.05
    best: 0.028 (Deformable Beta Splatting)
    SOTA
    MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile ArchitecturesarXiv:2208.00277
  • Novel View SynthesisonNeRF
    PSNR· 2022-07-30
    30.38
    best: 34.66 (Deformable Beta Splatting)
    MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile ArchitecturesarXiv:2208.00277
  • Novel View SynthesisonNeRF
    SSIM· 2022-07-30
    0.95
    best: 0.973 (Deformable Beta Splatting)
    MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile ArchitecturesarXiv:2208.00277
  • Novel View SynthesisonLLFF
    LPIPS· 2022-07-30
    0.183
    best: 0.149 (TensoRF + NeRFLiX)
    MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile ArchitecturesarXiv:2208.00277
  • Novel View SynthesisonLLFF
    PSNR· 2022-07-30
    25.63
    best: 27.39 (TensoRF + NeRFLiX)
    MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile ArchitecturesarXiv:2208.00277
  • Novel View SynthesisonLLFF
    SSIM· 2022-07-30
    0.818
    best: 0.867 (TensoRF + NeRFLiX)
    MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile ArchitecturesarXiv:2208.00277