Image Super Resolution On Bsd100 2X Upscaling

Metriken

PSNR

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title	Repository
WaveMixSR-V2	33.12	WaveMixSR-V2: Enhancing Super-resolution with Higher Efficiency
WaveMixSR	33.08	WaveMixSR: A Resource-efficient Neural Network for Image Super-resolution
DRCT-L	32.90	DRCT: Saving Image Super-resolution away from Information Bottleneck
HMA†	32.79	HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
Hi-IR-L	32.77	Hierarchical Information Flow for Generalized Efficient Image Restoration	-
DRCT	32.75	DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT-L	32.74	Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR	32.71	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
HAT	32.69	Activating More Pixels in Image Super-Resolution Transformer
CPAT+	32.66	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
SwinFIR	32.64	SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
CPAT	32.64	Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution	-
IPT	32.48	Pre-Trained Image Processing Transformer
DRLN+	32.47	Densely Residual Laplacian Super-Resolution
HAN+	32.45	Single Image Super-Resolution via a Holistic Attention Network
LTE	32.44	Local Texture Estimator for Implicit Representation Function
CSNLN	32.4	Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
SwinOIR	32.34	Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
HBPN	32.33	Hierarchical Back Projection Network for Image Super-Resolution
SRFBN	32.29	Feedback Network for Image Super-Resolution

0 of 30 row(s) selected.

Command Palette

Image Super Resolution On Bsd100 2X Upscaling

Metriken

Ergebnisse