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

Deutsch

Deblurring On Rsblur

Metriken

Average PSNR

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title	Repository
MLWNet	34.94	Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
SegDeblur	34.63	Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization	-
SFNet	34.35	Selective Frequency Network for Image Restoration	-
FSNet	34.31	Image Restoration via Frequency Selection	-
IRNext	34.08	IRNeXt: Rethinking Convolutional Network Design for Image Restoration	-
ConvIR	34.06	Revitalizing Convolutional Network for Image Restoration	-
Uformer-B	33.98	Uformer: A General U-Shaped Transformer for Image Restoration
Restormer	33.69	Restormer: Efficient Transformer for High-Resolution Image Restoration
MPRNet	33.61	Multi-Stage Progressive Image Restoration
MIMO-UNet+	33.37	Rethinking Coarse-to-Fine Approach in Single Image Deblurring
MIMO-UNet	32.73	Rethinking Coarse-to-Fine Approach in Single Image Deblurring
SRN-Deblur	32.53	Scale-recurrent Network for Deep Image Deblurring

0 of 12 row(s) selected.