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Compositional Image Generation on GenEval

60.8Overall ScoreSDv1.4
-2.192814.161130.51546.8689Sep 19, 2025Nov 5, 2025Dec 23, 2025Feb 8, 2026Mar 28, 2026May 14, 2026Jul 1, 2026

Evaluation results

MethodLinks
SDv1.4Description=Base model2026.0760.898.134.936.973.4———————
Poly-DPORL Paradigm=Off-Policy, Base Model=SDXL2026.0460.3498.7582.8346.2587.231631—————
LPORL Paradigm=On-Policy, Base Model=SDXL2026.0459.8599.6984.3443.1390.4313.7527.75—————
SAGEBase Model=SD-v1.4, Reference name in table=Ours2026.0759.897.234.434.473.4——————1.6
SLDBase Model=SD-v1.42026.0758.497.525.84070.2——————3.9
Diffusion-DPORL Paradigm=Off-Policy, Base Model=SDXL2026.0458.0299.3882.5849.0685.1113.0518.5—————
DESBase Model=SD-v1.42026.0756.796.630.131.368.9——————6.8
RECEBase Model=SD-v1.42026.0756.296.627.530.970——————7.6
SDXLRL Paradigm=-, Base Model=SDXL2026.0455.6398.1275.2543.7589.6311.2515.75—————
Adv-UnlearnBase Model=SD-v1.42026.0754.296.320.527.272.9——————10.9
MAPORL Paradigm=Off-Policy, Base Model=SDXL2026.0452.896.5666.414084.3110.7518.75—————
SPORL Paradigm=On-Policy, Base Model=SDXL2026.0452.7596.8869.737.1983.519.519.75—————
Poly-DPORL Paradigm=Off-Policy, Base Model=SD1.52026.0449.8796.2546.4651.2587.23414—————
LPORL Paradigm=On-Policy, Base Model=SD1.52026.0448.7797.8155.342.1980.596.7510—————
SafeDiffusion-R1Training setup=GenEval+Nudity2026.0547.8399.0661.363076.339.7510.5—————
STEREOBase Model=SD-v1.42026.0746.788.417.220.960.4——————23.2
SafeDiffusion-R1Training setup=Nudity Only2026.0544.1296.8843.943578.1946.75—————
Diffusion-KTORL Paradigm=Off-Policy, Base Model=SD1.52026.0443.6597.535.3536.2579.7976—————
Diffusion-DPORL Paradigm=Off-Policy, Base Model=SD1.52026.044396.8839.938.7575.533.253.75—————
SD-Safe2026.0542.5597.1938.6434.3877.1335—————
SD1.5RL Paradigm=-, Base Model=SD1.52026.0442.3495.6237.6337.8174.733.54.57—————
SD1.42026.0542.0897.8139.6531.5674.7335.75—————
SPORL Paradigm=On-Policy, Base Model=SD1.52026.0441.5395.6336.6234.8372.343.756.5—————
SafeRCLIPBase Model=SD-v1.42026.0739.576.69.321.350.8——————35
SafeCLIPBase Model=SD-v1.42026.0739.176.49.221.249.7——————35.7
RECE2026.0538.3694.6927.0229.6971.0143.75—————
MACEBase Model=SD-v1.42026.0736.280.68.818.836.4——————40.5
Seedream 3.02026.030.990.960.910.930.470.8——————
DGPONFE=80, Target=GenEval2026.030.97———————————
FlowGRPO#Iter=>5k, Resolution=512x5122025.090.95———————————
Flow-GRPONFE=80, Target=GenEval2026.030.95———————————
Flow-GRPOKL constraint=w/o KL2026.030.95———————————
Flow-GRPOKL constraint=w/ KL2026.030.95———————————
DiffusionNFT#Iter=1.7k, Resolution=512x5122025.090.94———————————
GRPO-GenevalTeacher Model=True2026.050.94———————————
E2POK=12, G=42026.050.932——————0.0480.1270.4670.322—
CRD2026.030.93———————————
CRDCFG sampling scale=1.52026.030.93———————————
DiffusionNFTK=12, G=242026.050.922——————0.0540.1180.4180.259—
TDM-R1 (Ours)NFE=4, Context=Compositional Image Generation2026.030.92———————————
DiffusionNFT2026.030.92———————————
CRDCFG sampling scale=3.02026.030.92———————————
Flow-OPDCold-start=Model Merging2026.050.92———————————
DiffusionNFTK=12, G=482026.050.917——————0.0510.1090.4630.196—
E2POK=4, G=22026.050.917——————0.0750.1360.4530.195—
DiffusionNFTK=4, G=82026.050.915——————0.0930.1280.4170.188—
AWMCFG=w/o CFG2026.030.91———————————
Flow-OPDCold-start=Supervised Fine-Tuning (SFT)2026.050.91———————————
p_ϕ in Surrogate RewardNFE=80, Context=Compositional Image Generation2026.030.89———————————
DiffusionNFTK=12, G=42026.050.868——————0.0770.1260.4580.26—
AWMCFG=w/ CFG2026.030.86———————————
SFT+GRPO-MixInitialization=SFT2026.050.85———————————
Merge+GRPO-MixInitialization=Model Merging2026.050.84———————————
DiffusionNFTK=4, G=22026.050.822——————0.0760.0420.450.194—
SuperFlowModel Category=Flow Matching Models2025.120.80.990.870.720.870.330.69—————
Flow-GRPOModel Category=Flow Matching Models2025.120.780.990.850.690.850.310.66—————
Flow-GRPOK=12, G=242026.050.776——————0.0640.1230.4220.318—
Flow-GRPOK=4, G=82026.050.769——————0.0810.1250.4470.19—
Flow-SPOModel Category=Flow Matching Models2025.120.750.990.840.660.840.30.64—————
GRPO-Mix2026.050.73———————————
Flow-GRPOK=12, G=42026.050.724——————0.0510.1260.4620.321—
SD3.5-LResolution=1024x10242025.090.71———————————
Flow-GRPOK=4, G=22026.050.678——————0.0790.1180.4520.195—
DALLE-3Model Category=Diffusion Models2025.120.670.960.870.470.830.430.45—————
TDM-R1 (Ours)NFE=4, Context=Visual Text Rendering2026.030.67———————————
FLUX.1-Dev2025.090.66———————————
FlowGRPO#Iter=2k, Resolution=512x5122025.090.66———————————
p_ϕ in Surrogate RewardNFE=80, Context=Visual Text Rendering2026.030.64———————————
GRPO-OCRTeacher Model=True2026.050.64———————————
GRPO-deqaTeacher Model=True2026.050.64———————————
JanusFlowModel Category=Autoregressive Models2025.120.630.970.590.450.830.530.42—————
SD3.5-M + CFGCFG=true, Resolution=512x5122025.090.63———————————
SD3.5-MNFE=802026.030.63———————————
SD3.5-M2026.030.63———————————
SD-3.5-M2026.050.63———————————
TDM-SD3.5-MNFE=42026.030.61———————————
SD3.5-MModel Category=Flow Matching Models2025.120.580.980.780.50.810.240.52—————
Delta-KBase Model=Stable Diffusion XL2026.030.580.980.790.420.880.15——————
SD-XLModel Category=Diffusion Models2025.120.550.980.740.390.850.150.23—————
SD-XLResolution=1024x10242025.090.55———————————
Stable Diffusion XL2026.030.550.980.740.390.850.15——————
Emu3-GenModel Category=Autoregressive Models2025.120.540.980.710.340.810.170.21—————
FlowGRPO#Iter=4k, Resolution=512x5122025.090.54———————————
Show-oModel Category=Autoregressive Models2025.120.530.950.520.490.820.110.28—————
DALLE-2Model Category=Diffusion Models2025.120.520.940.660.490.770.10.19—————
GRPO-PickscoreTeacher Model=True2026.050.51———————————
SD2.1Model Category=Diffusion Models2025.120.50.980.510.440.850.070.17—————
Stable Diffusion v2.12026.030.50.980.510.440.850.07——————
SD1.5Model Category=Diffusion Models2025.120.430.970.380.350.760.040.06—————
LDMModel Category=Diffusion Models2025.120.370.920.290.230.70.020.05—————
SD3.5-MK=12, G=—2026.050.263——————0.0440.1430.4580.392—
SD3.5-MK=4, G=—2026.050.263——————0.0440.1430.4580.392—
SD3.5-MCFG=false, Resolution=512x5122025.090.24———————————
minDALL-E2026.030.230.730.110.120.370.02——————