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ホーム
SOTA
画像超解像度
Image Super Resolution On Set5 3X Upscaling
Image Super Resolution On Set5 3X Upscaling
評価指標
PSNR
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
PSNR
Paper Title
Repository
HMA†
35.35
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
DRCT-L
35.32
DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT-L
35.28
Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR
35.21
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
Hi-IR-L
35.2
Hierarchical Information Flow for Generalized Efficient Image Restoration
-
CPAT+
35.19
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
DRCT
35.18
DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT
35.16
Activating More Pixels in Image Super-Resolution Transformer
CPAT
35.16
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
SwinFIR
35.15
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
EDT-B
35.13
On Efficient Transformer-Based Image Pre-training for Low-Level Vision
LTE
34.89
Local Texture Estimator for Implicit Representation Function
DRLN+
34.86
Densely Residual Laplacian Super-Resolution
HAN+
34.85
Single Image Super-Resolution via a Holistic Attention Network
CSNLN
34.74
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
FACD
34.729
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution
-
SRFBN
34.70
Feedback Network for Image Super-Resolution
ML-CrAIST
34.7
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
SwinOIR
34.69
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
PMRN+
34.65
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution
-
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