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
中文
HyperAI
HyperAI超神经
Toggle sidebar
全站搜索…
⌘
K
Command Palette
Search for a command to run...
首页
SOTA
图像超分辨率
Image Super Resolution On Bsd100 2X Upscaling
Image Super Resolution On Bsd100 2X Upscaling
评估指标
PSNR
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
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.
Previous
Next