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Text-to-Image Generation on HPD

64PickScoreBalancedDPO vs DiffusionDPO
-2.331214.889432.1149.3306Mar 16, 2025May 27, 2025Aug 8, 2025Oct 20, 2025Dec 31, 2025Mar 14, 2026May 26, 2026

Evaluation results

MethodLinks
BalancedDPO vs DiffusionDPOcomparison=BalancedDPO vs DiffusionDPO2025.036460—69.33——57.33
BalancedDPO vs SD1.5comparison=BalancedDPO vs SD1.52025.0360.6763.33—72.67——72.67
DiffusionDPO vs SD1.5comparison=DiffusionDPO vs SD1.52025.0347.3356—50.67——74
ReFL + RSA-FTBackbone=SDXL, Resolution=1024 × 10242026.0323.08—1.111———32.66
Diff.-LAIRBase Model=SDXL, Samples per prompt=52026.0523.0336.1521.1339.1——0.295
Diffusion LAIRBase Model=SDXL, Samples per prompt=52026.0523.0336.1521.1339.1——0.295
InPOBase Model=SDXL, Samples per prompt=52026.0523.0016.1861.07438.4——0.2939
InPOBase Model=SDXL, Samples per prompt=52026.0523.0016.1861.07438.4——0.2939
Diff.-DPOBase Model=SDXL, Samples per prompt=52026.0522.9496.1411.08238.8——0.2921
Diff.-DPOBase Model=SDXL, Samples per prompt=52026.0522.9496.1411.08238.8——0.2921
DRTune + RSA-FTBackbone=SDXL, Resolution=1024 × 10242026.0322.94—1.208———33.74
DRTuneBackbone=SDXL, Resolution=1024 × 10242026.0322.78—1.095———32.36
ReFLBackbone=SDXL, Resolution=1024 × 10242026.0322.66—1.039———31.21
MaPOBase Model=SDXL, Samples per prompt=52026.0522.6386.2450.96838.2——0.2902
MaPOBase Model=SDXL, Samples per prompt=52026.0522.6386.2450.96838.2——0.2902
SDXLBase Model=SDXL, Samples per prompt=52026.0522.5896.1340.86538.2——0.286
SDXLBase Model=SDXL, Samples per prompt=52026.0522.5896.1340.86538.2——0.286
VanillaBackbone=SDXL, Resolution=1024 × 10242026.0322.56—0.921———28.92
ReFL + RSA-FTBackbone=SD3, Resolution=1024 x 10242026.0322.41—1.168———31.43
DRTune + RSA-FTBackbone=SD3, Resolution=1024 x 10242026.0322.41—1.212———31.86
VanillaBackbone=SD3, Resolution=1024 x 10242026.0322.4—1.123———30.48
ReFLBackbone=SD3, Resolution=1024 x 10242026.0322.37—1.151———31.22
DRTuneBackbone=SD3, Resolution=1024 x 10242026.0322.33—1.162———31.31
Diffusion LAIRBase Model=SD1.5, Samples per prompt=52026.0522.0685.9040.838236.7——0.2871
InPOBase Model=SD1.5, Samples per prompt=52026.0521.7925.8730.811436.59——0.2862
Diff.-KTOBase Model=SD1.5, Samples per prompt=52026.0521.435.7920.683535.72——0.2849
DSPOBase Model=SD1.5, Samples per prompt=52026.0521.4265.8730.661235.66——0.2833
Diff.-DPOBase Model=SD1.5, Samples per prompt=52026.0521.2265.6880.308735.53——0.2767
SD1.5Base Model=SD1.5, Samples per prompt=52026.0520.7925.5670.098834.98——0.2723
Semantic Erasure and Horizontal InjectionModel=SDXL2025.1116.83475.6173-1.922115.3116———
Semantic Erasure and Horizontal InjectionModel=FLUX.1-Dev2025.1116.80155.9517-1.888116.6501———
NPNetModel=SDXL2025.1116.785.6-1.94815.04———
InitnoModel=SDXL2025.1116.7655.59-1.95215.01———
NPNetModel=FLUX.1-Dev2025.1116.755.895-1.94415.9———
StandardModel=SDXL2025.1116.74765.5804-1.954514.9859———
StandardModel=FLUX.1-Dev2025.1116.735.8808-1.950615.0207———
Probe-Select2026.030.23—1.38360.510.98—
Baseline2026.030.22—1.12340.480.95—