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SOTA
图像超分辨率
Image Super Resolution On Manga109 2X
Image Super Resolution On Manga109 2X
评估指标
PSNR
SSIM
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
PSNR
SSIM
Paper Title
Hi-IR-L
41.22
0.9846
Hierarchical Information Flow for Generalized Efficient Image Restoration
DRCT-L
41.14
0.9842
DRCT: Saving Image Super-resolution away from Information Bottleneck
HMA†
41.13
0.9836
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
HAT-L
41.01
0.9831
Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR
40.77
-
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
HAT
40.71
0.9819
Activating More Pixels in Image Super-Resolution Transformer
SwinFIR
40.61
0.9816
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
CPAT+
40.59
0.9816
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
CPAT
40.48
0.9814
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
DRCT
40.41
0.9814
DRCT: Saving Image Super-resolution away from Information Bottleneck
DRLN+
39.75
0.9792
Densely Residual Laplacian Super-Resolution
HAN+
39.62
0.9787
Single Image Super-Resolution via a Holistic Attention Network
CSNLN
39.37
0.9785
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
HBPN
39.3
0.979
Hierarchical Back Projection Network for Image Super-Resolution
DBPN-RES-MR64-3
39.28
0.977
Deep Back-Projection Networks for Single Image Super-resolution
ML-CrAIST
39.26
0.9786
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
ML-CrAIST-Li
39.23
0.9785
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
PMRN+
39.15
0.9781
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution
SRFBN
39.08
-
Feedback Network for Image Super-Resolution
IMDN
38.88
-
Lightweight Image Super-Resolution with Information Multi-distillation Network
0 of 21 row(s) selected.
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HyperAI
HyperAI超神经
首页
算力平台
文档
资讯
论文
教程
数据集
百科
SOTA
LLM 模型天梯
GPU 天梯
顶会
开源项目
全站搜索
关于
服务条款
隐私政策
中文
HyperAI
HyperAI超神经
Toggle Sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
算力平台
首页
SOTA
图像超分辨率
Image Super Resolution On Manga109 2X
Image Super Resolution On Manga109 2X
评估指标
PSNR
SSIM
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
PSNR
SSIM
Paper Title
Hi-IR-L
41.22
0.9846
Hierarchical Information Flow for Generalized Efficient Image Restoration
DRCT-L
41.14
0.9842
DRCT: Saving Image Super-resolution away from Information Bottleneck
HMA†
41.13
0.9836
HMANet: Hybrid Multi-Axis Aggregation Network for Image Super-Resolution
HAT-L
41.01
0.9831
Activating More Pixels in Image Super-Resolution Transformer
HAT_FIR
40.77
-
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
HAT
40.71
0.9819
Activating More Pixels in Image Super-Resolution Transformer
SwinFIR
40.61
0.9816
SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
CPAT+
40.59
0.9816
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
CPAT
40.48
0.9814
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
DRCT
40.41
0.9814
DRCT: Saving Image Super-resolution away from Information Bottleneck
DRLN+
39.75
0.9792
Densely Residual Laplacian Super-Resolution
HAN+
39.62
0.9787
Single Image Super-Resolution via a Holistic Attention Network
CSNLN
39.37
0.9785
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
HBPN
39.3
0.979
Hierarchical Back Projection Network for Image Super-Resolution
DBPN-RES-MR64-3
39.28
0.977
Deep Back-Projection Networks for Single Image Super-resolution
ML-CrAIST
39.26
0.9786
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
ML-CrAIST-Li
39.23
0.9785
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
PMRN+
39.15
0.9781
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution
SRFBN
39.08
-
Feedback Network for Image Super-Resolution
IMDN
38.88
-
Lightweight Image Super-Resolution with Information Multi-distillation Network
0 of 21 row(s) selected.
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Image Super Resolution On Manga109 2X | SOTA | HyperAI超神经