Inverse Tone Mapping On Vds Dataset
Metriken
HDR-VDP-2
Kim and Kautz TMO-PSNR
Reinhard'TMO-PSNR
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||||
|---|---|---|---|---|
| Deep Conditional HDRI | - | - | 35.75 | Deep Conditional HDRI: Inverse Tone Mapping via Dual Encoder-Decoder Conditioning Method |
| CEVR | 59.00 | 30.04 | 34.67 | Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction |
| DiffHDRsyn | 58.81 | - | 34.12 | End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images |
| Deep Recursive HDRI | 57.28 | 28.02 | 32.94 | Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks |
| Liu et al. | 56.97 | 28.00 | 30.88 | Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline |
| Deep Chain HDRI | 56.36 | 24.54 | 30.86 | Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image |
| DrTMO | 54.33 | 21.36 | 25.49 | Deep reverse tone mapping |
| ExpandNet | - | - | 23.03 | ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content |
| Santos et al. | 53.51 | 18.23 | 22.56 | Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss |
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