HyperAI
Startseite
Neuigkeiten
Neueste Forschungsarbeiten
Tutorials
Datensätze
Wiki
SOTA
LLM-Modelle
GPU-Rangliste
Veranstaltungen
Suche
Über
Deutsch
HyperAI
Toggle sidebar
Seite durchsuchen…
⌘
K
Startseite
SOTA
Bildauflösungsverbesserung
Image Super Resolution On Set5 2X Upscaling
Image Super Resolution On Set5 2X Upscaling
Metriken
PSNR
SSIM
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
PSNR
SSIM
Paper Title
Repository
RED30
37.66
0.9599
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
c-DCSCN
37.13
.9569
Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network
VDSR [[Kim et al.2016a]]
37.53
-
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
DRCT-L
39.14
0.9658
DRCT: Saving Image Super-resolution away from Information Bottleneck
HAT
38.73
0.9637
Activating More Pixels in Image Super-Resolution Transformer
HBPN
38.13
0.961
Hierarchical Back Projection Network for Image Super-Resolution
CPAT
38.68
0.9633
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
DnCNN-3
37.58
-
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
ML-CrAIST
38.19
0.9617
ML-CrAIST: Multi-scale Low-high Frequency Information-based Cross black Attention with Image Super-resolving Transformer
N3Net
37.57
-
Neural Nearest Neighbors Networks
FACD
38.242
-
Feature-domain Adaptive Contrastive Distillation for Efficient Single Image Super-Resolution
-
DBPN-RES-MR64-3
38.08
0.96
Deep Back-Projection Networks for Single Image Super-resolution
MaIR+
38.62
0.963
MaIR: A Locality- and Continuity-Preserving Mamba for Image Restoration
-
PMRN+
38.22
0.9612
Sequential Hierarchical Learning with Distribution Transformation for Image Super-Resolution
-
SwinOIR
38.21
0.9614
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
IMDN
38.00
-
Lightweight Image Super-Resolution with Information Multi-distillation Network
CPAT+
38.72
0.9635
Channel-Partitioned Windowed Attention And Frequency Learning for Single Image Super-Resolution
-
DRCT
38.72
0.9646
DRCT: Saving Image Super-resolution away from Information Bottleneck
Deep CNN Denoiser
35.05
-
Learning Deep CNN Denoiser Prior for Image Restoration
HyperRes
36.69
0.94
Hypernetwork-Based Adaptive Image Restoration
0 of 41 row(s) selected.
Previous
Next