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Models/Deep Chain HDRI

Deep Chain HDRI

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 mappingonVDS dataset: Multi exposure stack-based inverse tone mapping
    HDR-VDP-2· 2018-01-19
    56.36
    best: 59 (CEVR)
    SOTA
    Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range ImagearXiv:1801.06277
  • inverse tone mappingonVDS dataset: Multi exposure stack-based inverse tone mapping
    Kim and Kautz TMO-PSNR· 2018-01-19
    24.54
    best: 30.04 (CEVR)
    SOTA
    Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range ImagearXiv:1801.06277
  • inverse tone mappingonVDS dataset: Multi exposure stack-based inverse tone mapping
    Reinhard'TMO-PSNR· 2018-01-19
    30.86
    best: 35.75 (Deep Conditional HDRI)
    SOTA
    Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range ImagearXiv:1801.06277
  • Inverse-Tone-MappingonVDS dataset: Multi exposure stack-based inverse tone mapping
    HDR-VDP-2· 2018-01-19
    56.36
    best: 59 (CEVR)
    SOTA
    Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range ImagearXiv:1801.06277
  • Inverse-Tone-MappingonVDS dataset: Multi exposure stack-based inverse tone mapping
    Kim and Kautz TMO-PSNR· 2018-01-19
    24.54
    best: 30.04 (CEVR)
    SOTA
    Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range ImagearXiv:1801.06277
  • Inverse-Tone-MappingonVDS dataset: Multi exposure stack-based inverse tone mapping
    Reinhard'TMO-PSNR· 2018-01-19
    30.86
    best: 35.75 (Deep Conditional HDRI)
    SOTA
    Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range ImagearXiv:1801.06277