HyperAI超神経
ホーム
ニュース
最新論文
チュートリアル
データセット
百科事典
SOTA
LLMモデル
GPU ランキング
学会
検索
サイトについて
日本語
HyperAI超神経
Toggle sidebar
サイトを検索…
⌘
K
ホーム
SOTA
Single Image Deraining
Single Image Deraining On Test1200
Single Image Deraining On Test1200
評価指標
PSNR
SSIM
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
SSIM
Paper Title
Repository
M3SNet
33.52
0.925
A Mountain-Shaped Single-Stage Network for Accurate Image Restoration
MHNet
33.41
0.924
Mixed Hierarchy Network for Image Restoration
UMRL
-
0.910
Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Raining
MPRNet
32.91
0.916
Multi-Stage Progressive Image Restoration
MAXIM
-
0.922
MAXIM: Multi-Axis MLP for Image Processing
MSPFN
32.39
0.916
Multi-Scale Progressive Fusion Network for Single Image Deraining
SEMI
26.05
0.822
Semi-supervised Transfer Learning for Image Rain Removal
DerainNet
-
0.835
Clearing the Skies: A deep network architecture for single-image rain removal
KBNet
33.82
0.931
KBNet: Kernel Basis Network for Image Restoration
DIDMDN
-
0.901
Density-aware Single Image De-raining using a Multi-stream Dense Network
Restormer
33.19
0.926
Restormer: Efficient Transformer for High-Resolution Image Restoration
RESCAN
-
0.882
Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining
-
HINet
33.05
0.919
HINet: Half Instance Normalization Network for Image Restoration
CAPTNet
34.77
0.937
Prompt-based Ingredient-Oriented All-in-One Image Restoration
0 of 14 row(s) selected.
Previous
Next