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ResearchFormerly WizWand

Super-Resolution on Set14 x3 (test)

31.32PSNRCFAT
30.238430.519230.831.0808Sep 25, 2023Mar 3, 2024Aug 11, 2024Jan 19, 2025Jun 29, 2025Dec 7, 2025May 17, 2026
Updated 5mo ago

Evaluation results

MethodLinks
CFATScale=x3, Training Dataset=DIV2K+Flickr2K2024.0331.3285.69
CPAT†Scale=x3, Self-ensemble=true2024.0731.1985.59
ACTScale=x3, Training Dataset=DIV2K+Flickr2K2024.0331.1785.49
CPATScale=x32024.0731.1585.57
DATScale=x32024.0731.1185.5
EDTScale=x3, Training Dataset=DIV2K+Flickr2K2024.0331.0985.53
HATScale=x3, Training Dataset=DIV2K+Flickr2K2024.0331.0885.55
HATScale=x32024.0731.0885.55
CFAT-sScale=x3, Training Dataset=DIV2K+Flickr2K2024.0331.0685.51
CAT-AScale=x32024.0731.0485.38
ARTScale=x3, Training Dataset=DIV2K+Flickr2K2024.0331.0285.41
SwinIRScale=x3, Training Dataset=DIV2K+Flickr2K2024.033185.42
SwinIRScale=x32024.0730.9385.34
IPTScale=x3, Training Dataset=ImageNet2024.0330.85—
IPTScale=x3, Pre-trained=ImageNet2024.0730.85—
ELANScale=x32024.0730.885.04
RCAN-itScale=x32024.0730.7685.05
NLSAScale=x32024.0730.784.85
HANScale=x3, Training Dataset=DIV2K2024.0330.6784.83
RCANScale=x32024.0730.6584.82
EchoSRSource=Ours, Scale=x3, # Params=937K2026.0530.6584.83
HiT-SIRScale=x3, #Para.=780K, FLOPs=94.2G2024.0730.6284.74
HiT-SNGScale=x3, #Para.=1021K, FLOPs=99.5G2024.0730.6284.74
HiT-SIRSource=ECCV24, Scale=x3, # Params=780K2026.0530.6284.74
HiT-SRFScale=x3, #Para.=855K, FLOPs=101.6G2024.0730.6184.75
CRAFTSource=TPAMI25, Scale=x3, # Params=744K2026.0530.6184.69
SANScale=x3, Training Dataset=DIV2K2024.0330.5984.76
SwinIR-NGScale=x3, #Para.=1190K, FLOPs=114.1G2024.0730.5884.71
SwinIR-NGSource=CVPR23, Scale=x3, # Params=1,190K2026.0530.5884.71
Omni-SRScale=x3, #Para.=780K, FLOPs=88.4G2024.0730.5784.69
SRFormer-LScale=x3, #Para.=861K, FLOPs=104.8G2024.0730.5784.69
OmniSRSource=CVPR23, Scale=x3, # Params=780K2026.0530.5784.69
SRFormerSource=ICCV23, Scale=x3, # Params=861K2026.0530.5784.69
ELAN-LScale=x3, #Para.=629K, FLOPs=89.5G2024.0730.5584.63
ELANSource=ECCV22, Scale=x3, # Params=629K2026.0530.5584.63
LKASRSource=KBS22, Scale=x3, # Params=947K2026.0530.5584.64
SwinIR-LScale=x3, #Para.=918K, FLOPs=110.8G2024.0730.5484.63
SwinIRSource=ICCV21, Scale=x3, # Params=886K2026.0530.5484.63
MambaIRSource=ECCV24, Scale=x3, # Params=913K2026.0530.5484.59
MaIRSource=CVPR25, Scale=x3, # Params=886K2026.0530.5484.61
DUKDArchitecture=SwinIR, Scale=x32023.0930.5384.56
EDSRScale=x3, Training Dataset=DIV2K2024.0330.5284.62
EDSRScale=x32024.0730.5284.62
EDSRSource=CVPRW17, Scale=x3, # Params=43,680K2026.0530.5284.62
DiVANetSource=PR23, Scale=x3, # Params=949K2026.0530.4784.47
KDArchitecture=SwinIR, Scale=x32023.0930.4584.43
HNCTScale=x3, #Para.=363K, FLOPs=37.8G2024.0730.4484.39
ScratchArchitecture=SwinIR, Scale=x32023.0930.4384.37
FMENScale=x3, #Para.=757K, FLOPs=77.2G2024.0730.484.35
GASSL-BScale=x3, #Para.=691K, FLOPs=70.4G2024.0730.3984.3
SRPN-LiteScale=x3, #Para.=615K, FLOPs=62.7G2024.0730.3884.25
RFDN-LScale=x3, #Para.=633K, FLOPs=65.6G2024.0730.3584.21
IMDNScale=x3, #Para.=703K, FLOPs=71.5G2024.0730.3284.17
LatticeNetScale=x3, #Para.=765K, FLOPs=76.3G2024.0730.3284.16
IMDNSource=MM19, Scale=x3, # Params=703K2026.0530.3284.17
CARNScale=x3, #Para.=1592K, FLOPs=118.8G2024.0730.2984.07
EDSR-BScale=x3, #Para.=1555K, FLOPs=160.2G2024.0730.2884.17