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Spectral Reconstruction On Arad 1K

Métriques

MRAE

PSNR

RMSE

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	MRAE	PSNR	RMSE	Paper Title	Repository
HDNet	0.2048	32.13	0.0317	HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging	-
MST++	0.1645	34.32	0.0248	MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction	-
HRNet	0.3476	26.89	0.0550	Hierarchical Regression Network for Spectral Reconstruction from RGB Images	-
MST-L	0.1772	33.90	0.0256	Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction	-
EDSR	0.3277	28.29	0.0437	Enhanced Deep Residual Networks for Single Image Super-Resolution	-
Restormer	0.1833	33.40	0.0274	Restormer: Efficient Transformer for High-Resolution Image Restoration	-
AWAN	0.2500	31.22	0.0367	Adaptive Weighted Guided Image Filtering for Depth Enhancement in Shape-From-Focus	-
MIRNet	0.1890	33.29	0.0274	Learning Enriched Features for Real Image Restoration and Enhancement	-
HSCNN+	0.3814	26.36	0.0588	HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification	-
MPRNet	0.1817	33.50	0.0270	Multi-Stage Progressive Image Restoration	-
HINet	0.2032	32.51	0.0303	HINet: Half Instance Normalization Network for Image Restoration	-

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Spectral Reconstruction On Arad 1K | SOTA | HyperAI