Home News Latest Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Inverse Tone Mapping On Vds Dataset

Metrics

HDR-VDP-2

Kim and Kautz TMO-PSNR

Reinhard'TMO-PSNR

Results

Performance results of various models on this benchmark

Model Name	HDR-VDP-2	Kim and Kautz TMO-PSNR	Reinhard'TMO-PSNR	Paper Title	Repository
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
CEVR	59.00	30.04	34.67	Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction
Deep Recursive HDRI	57.28	28.02	32.94	Deep Recursive HDRI: Inverse Tone Mapping using Generative Adversarial Networks
DiffHDRsyn	58.81	-	34.12	End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images
Santos et al.	53.51	18.23	22.56	Single Image HDR Reconstruction Using a CNN with Masked Features and Perceptual Loss	-
Liu et al.	56.97	28.00	30.88	Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline
Deep Conditional HDRI	-	-	35.75	Deep Conditional HDRI: Inverse Tone Mapping via Dual Encoder-Decoder Conditioning Method	-

0 of 9 row(s) selected.