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SOTA
이미지 초해상화
Image Super Resolution On Bsd100 2X Upscaling
Image Super Resolution On Bsd100 2X Upscaling
평가 지표
PSNR
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
PSNR
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
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