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Image Super-Resolution on RealSR

0.166LPIPSGenDR-Pix
0.1609560.1950030.229050.263097Nov 27, 2023May 2, 2024Oct 6, 2024Mar 12, 2025Aug 16, 2025Jan 20, 2026Jun 27, 2026

Evaluation results

MethodLinks
GenDR-PixScale=x22026.020.16627.95—————65.140.6797————————
GenDR-1Scale=x22026.020.175327.18—————66.820.6152————————
Real-ESRGANScale=x22026.020.206228.02—————63.540.6014————————
GenDR-PixScale=x32026.020.206526.8—————60.960.6128————————
GenDR-1Scale=x32026.020.241621.9—————64.610.5841————————
Real-ESRGANScale=x32026.020.247526.69—————62.140.5762————————
ASASR2026.050.249724.090.72210.1986——0.57371.78——————0.72——
SwinIRModel class=Transformer, NFE=12025.030.25126.430.786————59.6360.4654————————
R-ESRGAN+2025.050.252424.330.7456——————————————
SwinIR-GAN2026.050.253524.440.74610.1938——0.347658.76——————0.5532——
FreqOrtho-SRTime (s)=0.30, Params (B)=1.30, Input Resolution=128×128, Device=A1002026.060.2537———108.91————————————
H-VARMethod Category=AR-based2026.050.25625.550.726—130.4——69.58—————————
S3Diff-1Upscaling Factor=x42026.010.258521.750.67620.177594.325.6610.50750.69860.5511————————
TVTTime (s)=0.28, Params (B)=1.72, Input Resolution=128×128, Device=A1002026.060.2587———109.93————————————
StrSRType=One-step Diffusion, implementation=FLUX2026.030.259923.770.72360.1665—3.8090.633367.3318———4.12960.7134————
StableSRconfiguration=default2026.050.260425.50910.7491———0.376961.8059——————0.6145——
StableSRScaling Factor=x42026.060.2604———132.096.62310.595261.80580.5426—————0.6154.67673.2578
SwinIRMethod Category=GAN-based2026.050.26125.880.767—132.8——59.28—————————
ICM-SRnumber of inferences=12025.110.261124.990.73090.2009108.745.58420.651168.590.636————————
SwinIRCategory=GAN-based2026.020.261425.880.76710.2061132.8—0.356159.280.4433————————
BSRGAN# Parameters=16.70M, Latency/Image=0.06s2024.090.265626.380.7655———0.376463.280.51140.5502———————
BSRGANCategory=GAN-based2026.020.265626.380.76510.2124141.25—0.376363.280.5114————————
BSRGANconfiguration=default2026.050.265626.37850.7651———0.375863.2871——————0.5822——
BSRGANMethod Category=GAN-based2026.050.26626.380.765—141.3——63.28—————————
BSRGAN2023.110.26726.390.76540.2121141.285.65670.539963.210.5001————————
BSRGANType=GAN-based2024.060.26726.390.76540.2121141.285.65670.539963.210.5001————————
BSRGANModel class=GANs, NFE=12025.030.26726.390.76540.2121141.285.65670.539963.210.5001————————
StableSRSampling Steps=50, #Params (M)=152.702024.120.267126.270.7755——5.1745—60.17580.5209—4.8209——————
PisaSR2025.080.267225.5030.7418———0.655170.1470.66990.6374—3.6355—————
PiSASRScaling Factor=x42026.060.2672———124.195.50570.655270.14920.6699—————0.69574.89534.0989
PiSA-SRModel class=Diffusion model, used T2I prior, NFE=12025.030.267225.50.74180.2044124.095.50460.655170.150.6696————————
PiSA-SRTime (s)=0.09, Params (B)=1.30, Input Resolution=128×128, Device=A1002026.060.2672———124.09————————————
GDPO-SR2026.030.267525.480.73280.198112.13—0.661569.420.676————17.73———
RSDModel class=Diffusion model, no T2I prior, NFE=12025.030.267525.610.7420.2205138.235.750.59366.020.6793————————
RSDT2I prior=no, Number of Parameters=< 180M params, NFE=12025.030.267525.610.7420.2205138.235.750.59366.020.6793————————
BSRGAN#Params (M)=16.702024.120.268526.510.7746——4.6501—63.58690.5439—4.4644——————
BSRGAN2026.030.268526.510.7746——4.6501—63.58690.5439—4.4644——————
BSRGANModel class=GANs, NFE=12025.030.26926.510.775————63.5860.5439————————
S3DiffVenue=ArXiv’24, Category=Efficient / one-step methods2026.050.269925.030.73210.1996—5.33110.626367.890.6722————————
Real-ESRGAN# Parameters=16.70M, Latency/Image=0.08s2024.090.270925.690.7615———0.373360.370.44850.5147———————
Real-ESRCategory=GAN-based2026.020.27125.680.76140.206135.14—0.373660.370.4487————————
Real-ESRMethod Category=GAN-based2026.050.27125.680.761—135.1——60.37—————————
Real-ESRGANconfiguration=default2026.050.27125.68550.7614———0.373760.3671——————0.584——
RealESRGANScaling Factor=x42026.060.271———135.155.7960.549260.36570.449—————0.58414.65513.3571
PiSA-SRModel class=Diffusion model, used T2I prior, NFE=12025.030.27125.590.75————67.9930.6678————————
PiSA-SRT2I prior=yes, > 450M params, NFE=12025.030.27125.590.75————67.9930.6678————————
BSRGAN2025.050.271324.70.7651——————————————
S3Diff2025.080.272125.1830.7269———0.642765.8240.67310.6162—3.6638—————
S3Diff-1sDiffusion steps=1, NFEs=2, CFG=true, Scaling factor=x42026.030.272125.18——105.125.27080.642467.820.6734————————
Real-ESRGAN2023.110.272725.690.76160.2063135.185.82950.548760.180.4449————————
Real-ESRGANType=GAN-based2024.060.272725.690.76160.2063135.185.82950.548760.180.4449————————
Real-ESRGANModel class=GANs, NFE=12025.030.272725.690.76160.2063135.185.82950.548760.180.4449————————
RealESRGAN#Params (M)=16.702024.120.272825.850.7734——4.6766—59.68030.4898—4.4881——————
RealESRGAN2026.030.272825.850.7734——4.6766—59.68030.4898—4.4881——————
Real-ESRGANModel class=GANs, NFE=12025.030.27325.850.773————59.6780.4898————————
RSDModel class=Diffusion model, no T2I prior, NFE=12025.030.27325.910.754————65.860.706————————
RSD (Ours)T2I prior=no, < 180M params, NFE=12025.030.27325.910.754————65.860.706————————
Real-ESRGAN2026.050.273324.010.7340.2069——0.376460.43——————0.5878——
Real-ESRGANUpscaling Factor=x42026.010.274322.280.70470.1939126.75.770.42530.64970.4575————————
TSD-SRVenue=CVPR’25, Category=Efficient / one-step methods2026.050.274324.810.71720.2104—5.12980.634770.490.716————————
TSD-SRModel class=Diffusion model, used T2I prior, NFE=12025.030.274324.810.71720.2105114.455.12660.634671.180.716————————
PiSA-SRType=One-step Diffusion2026.030.274425.60.75090.1745—4.40390.627766.4567———3.99460.7073————
LDL# Parameters=16.70M, Latency/Image=0.08s2024.090.27525.280.7565———0.379260.930.45560.5124———————
InvSRModel class=Diffusion model, used T2I prior, NFE=12025.030.27524.730.731————66.4030.6798————————
OSEDiff-1Upscaling Factor=x42026.010.275221.150.6610.1907106.15.180.49360.69250.5288————————
PASDType=Multi-step Diffusion2026.030.275926.710.76150.163—4.82520.541660.9738———4.03440.5811————
LDL2023.110.276625.280.75670.2121142.716.00240.548560.820.4477————————
LDLType=GAN-based2024.060.276625.280.75670.2121142.716.00240.548560.820.4477————————
LDLModel class=GANs, NFE=12025.030.276625.280.75670.2121142.716.00240.548560.820.4477————————
OSEDiff-1Scale=x22026.020.277423.29—————67.560.7214————————
InvSR2026.030.277524.30.71450.206129.52—0.656167.310.6739————16.58———
InvSRModel class=Diffusion model, used T2I prior, NFE=12025.030.277524.30.71450.206129.525.71680.657267.310.6734————————
VARSRCategory=VAR-based2026.020.277726.080.73810.2111118.84—0.431666.650.5953————————
SeeSRType=Multi-step Diffusion2026.030.278626.210.75630.1759—4.54280.610664.3097———4.00090.6832————
BSRGAN2026.050.278823.320.73010.2248——0.400163.83——————0.5939——
CCSRModel class=Diffusion model, used T2I prior, NFE=12025.030.279925.920.74850.2122122.985.73240.639869.180.6336————————
TSDSR2025.080.280523.4040.6886———0.631170.7710.71990.6642—3.7748—————
TSDSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.030.280523.4——114.565.09240.631270.760.7198————————
SeeSRSampling Steps=50, #Params (M)=751.502024.120.280626.20.7555——4.5358—66.37570.6824—4.1464——————
SeeSR2026.030.280626.20.7555——4.5358—66.37570.6824—4.1464——————
TSD-SRModel class=Diffusion model, used T2I prior, NFE=12025.030.28124.880.723————69.8710.7336————————
TSD-SRT2I prior=yes, > 450M params, NFE=12025.030.28124.880.723————69.8710.7336————————
UPSRCategory=Diffusion-based2026.020.286225.970.74490.2083140.11—0.389364.790.5856————————
CCSRModel class=Diffusion model, used T2I prior, NFE=12025.030.28725.990.752————67.9910.6656————————
AlignVARCategory=VAR-based2026.020.287126.110.71250.2123138.81—0.455368.530.6784————————
InvSRScaling Factor=x42026.060.2871———138.855.62220.662868.53720.6785—————0.6885.09464.0392
InvSRSampling Steps=1, #Params (M)=33.842024.120.287224.50.7262——4.2189—67.45860.6918—3.7779——————
InvSR2026.030.287224.50.7262——4.2189—67.45860.6918—3.7779——————
TSD-SRType=One-step Diffusion2026.030.287423.760.69840.1844—3.8310.613969.0501———4.09240.7408————
AdcSR2025.080.288525.4690.7301———0.635369.8990.67310.6793—3.7749—————
AdcSRModel class=Diffusion model, used T2I prior, NFE=12025.030.288525.470.73010.2128118.415.34770.635369.90.673————————
FaithDiff2026.050.289523.580.67570.2108——0.466668.65——————0.6529——
CTMSRModel class=Diffusion model, no T2I prior, NFE=12025.030.289725.980.75460.2208135.355.55460.52764.260.6318————————
CTMSRT2I prior=no, Number of Parameters=< 180M params, NFE=12025.030.289725.980.75460.2208135.355.55460.52764.260.6318————————
CTMSR-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.030.290125.98——135.695.50460.527664.490.6397————————
MoR-DASRInput Resolution=128×128, Device=A1002026.060.291————————————————
SANA-SRCategory=Efficient / one-step methods2026.050.291725.960.74680.1964—5.08970.593270.730.7663————————
OSEDiff2025.080.29225.1480.7338———0.633769.0870.66870.6251—3.6915—————
OSEDiff-1sDiffusion steps=1, NFEs=1, Scaling factor=x42026.030.29225.15——123.575.63450.633569.090.6685————————
OSEDiffType=One-step Diffusion2024.060.292125.150.73410.2128123.495.64760.632669.090.6693————————