Santos et al.

Reported on 6 benchmarks across 2 tasks

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
53.51
best: 59 (CEVR)
inverse tone mappingonVDS dataset: Multi exposure stack-based inverse tone mapping
Kim and Kautz TMO-PSNR
18.23
best: 30.04 (CEVR)
inverse tone mappingonVDS dataset: Multi exposure stack-based inverse tone mapping
Reinhard'TMO-PSNR
22.56
best: 35.75 (Deep Conditional HDRI)
Inverse-Tone-MappingonVDS dataset: Multi exposure stack-based inverse tone mapping
HDR-VDP-2
53.51
best: 59 (CEVR)
Inverse-Tone-MappingonVDS dataset: Multi exposure stack-based inverse tone mapping
Kim and Kautz TMO-PSNR
18.23
best: 30.04 (CEVR)
Inverse-Tone-MappingonVDS dataset: Multi exposure stack-based inverse tone mapping
Reinhard'TMO-PSNR
22.56
best: 35.75 (Deep Conditional HDRI)