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Models/HDRCNN

HDRCNN

Reported on 6 benchmarks across 2 tasks · 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

  • inverse tone mappingonMSU HDR Video Reconstruction Benchmark
    HDR-PSNR· 2017-10-20
    33.02
    best: 35.9721 (HDRTVNet)
    SOTA
    HDR image reconstruction from a single exposure using deep CNNsarXiv:1710.07480
  • inverse tone mappingonMSU HDR Video Reconstruction Benchmark
    HDR-SSIM· 2017-10-20
    0.9663
    best: 0.9927 (HDRTVDN)
    SOTA
    HDR image reconstruction from a single exposure using deep CNNsarXiv:1710.07480
  • inverse tone mappingonMSU HDR Video Reconstruction Benchmark
    HDR-VQM· 2017-10-20
    0.1919
    best: 0.263 (SingleHDR)
    SOTA
    HDR image reconstruction from a single exposure using deep CNNsarXiv:1710.07480
  • Inverse-Tone-MappingonMSU HDR Video Reconstruction Benchmark
    HDR-PSNR· 2017-10-20
    33.02
    best: 35.9721 (HDRTVNet)
    SOTA
    HDR image reconstruction from a single exposure using deep CNNsarXiv:1710.07480
  • Inverse-Tone-MappingonMSU HDR Video Reconstruction Benchmark
    HDR-SSIM· 2017-10-20
    0.9663
    best: 0.9927 (HDRTVDN)
    SOTA
    HDR image reconstruction from a single exposure using deep CNNsarXiv:1710.07480
  • Inverse-Tone-MappingonMSU HDR Video Reconstruction Benchmark
    HDR-VQM· 2017-10-20
    0.1919
    best: 0.263 (SingleHDR)
    SOTA
    HDR image reconstruction from a single exposure using deep CNNsarXiv:1710.07480