Startseite Plattform Dokumentation Neuigkeiten Forschungsarbeiten Tutorials Datensätze Wiki SOTA LLM-Modelle GPU-Rangliste Veranstaltungen

Deutsch

Deblurring On Realblur R Trained On Gopro

Metriken

PSNR (sRGB)

SSIM (sRGB)

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

			Paper Title	Repository
ALGNet	36.35	0.961	Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring
AdaRevD	36.53	0.957	AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring
Restormer	36.19	0.957	Restormer: Efficient Transformer for High-Resolution Image Restoration
Uformer-B	36.22	0.957	Uformer: A General U-Shaped Transformer for Image Restoration
LaKDNet	36.08	0.955	Revisiting Image Deblurring with an Efficient ConvNet
DeblurDiNAT-L	36.09	0.955	DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains
DeepRFT	36.11	0.955	Intriguing Findings of Frequency Selection for Image Deblurring
MSSNet	35.93	0.953	MSSNet: Multi-Scale-Stage Network for Single Image Deblurring
MPRNet	35.99	0.952	Multi-Stage Progressive Image Restoration
DMPHN	-	0.948	Deep Stacked Hierarchical Multi-patch Network for Image Deblurring
SRN	-	0.947	Scale-recurrent Network for Deep Image Deblurring
Zhang et al	-	0.947	Dynamic Scene Deblurring Using Spatially Variant Recurrent Neural Networks	-
DeblurGAN-v2	-	0.944	DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Xu et al	-	0.937	Unnatural L0 Sparse Representation for Natural Image Deblurring	-
Pan et al	34.01	0.916	Blind Image Deblurring Using Dark Channel Prior	-
Hu et al	33.67	0.916	Deblurring Low-light Images with Light Streaks	-
DeblurGAN	-	0.903	DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Nah et al	-	0.841	Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
MAXIM	35.78	-	MAXIM: Multi-Axis MLP for Image Processing

0 of 19 row(s) selected.