Inverse Tone Mapping On Vds Dataset
Métriques
HDR-VDP-2
Kim and Kautz TMO-PSNR
Reinhard'TMO-PSNR
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | HDR-VDP-2 | Kim and Kautz TMO-PSNR | Reinhard'TMO-PSNR |
|---|---|---|---|
| deep-chain-hdri-reconstructing-a-high-dynamic | 56.36 | 24.54 | 30.86 |
| deep-reverse-tone-mapping | 54.33 | 21.36 | 25.49 |
| expandnet-a-deep-convolutional-neural-network | - | - | 23.03 |
| learning-continuous-exposure-value | 59.00 | 30.04 | 34.67 |
| deep-recursive-hdri-inverse-tone-mapping | 57.28 | 28.02 | 32.94 |
| end-to-end-differentiable-learning-to-hdr | 58.81 | - | 34.12 |
| single-image-hdr-reconstruction-using-a-cnn | 53.51 | 18.23 | 22.56 |
| single-image-hdr-reconstruction-by-learning | 56.97 | 28.00 | 30.88 |
| deep-conditional-hdri-inverse-tone-mapping | - | - | 35.75 |