Human Preference Evaluation on HPD v2 (test)
85.4Preference AccuracyHPSv3 - 7B
Evaluation Results
| Method | Links | |
|---|---|---|
| HPSv3 - 7B2026.05 | 85.4 | |
| HPSv3Backbone=Qwen2VL-7B2026.02 | 85.36 | |
| DiNa-LRMBackbone=SD3.5-M-2B, Multi-noise inference scaling=true2026.02 | 84.31 | |
| MPSTrained on=MHP datasets2024.05 | 83.5 | |
| MPS2026.05 | 83.5 | |
| HPS v2Pre-trained=true2024.05 | 83.3 | |
| HPSv22026.05 | 83.3 | |
| MPSBackbone=CLIP2026.02 | 83.27 | |
| UnifiedRewardBackbone=LLaVA-OV-7B2026.02 | 83.1 | |
| UnifiedReward-ThinkBackbone=LLaVA-OV-7B2026.02 | 82.7 | |
| HPSv2Backbone=CLIP2026.02 | 82.58 | |
| DRMWeights=Pre-trained, Epoch=1, Size=5122026.05 | 82.2 | |
| DiNa-LRMBackbone=SD3.5-M-2B, Multi-noise inference scaling=false2026.02 | 82.13 | |
| HPSv3 - 2B2026.05 | 80.8 | |
| DRMWeights=Pre-trained, Epoch=1, Size=2562026.05 | 80.1 | |
| PickScorePre-trained=true2024.05 | 79.8 | |
| PickScore2026.05 | 79.8 | |
| PickScoreBackbone=CLIP2026.02 | 79.44 | |
| HPS2026.05 | 77.6 | |
| Aesthetic Score Predictor2026.05 | 76.8 | |
| ImageReward2026.05 | 74 | |
| ImageRewardBackbone=CLIP2026.02 | 73.95 | |
| HPSPre-trained=true2024.05 | 73.1 | |
| Aesthetic ScorePre-trained=true2024.05 | 72.6 | |
| LRM-SD1.5Backbone=SD-1.52026.02 | 72.39 | |
| CLIP scorePre-trained=true2024.05 | 71.2 | |
| LRM-SDXLBackbone=SDXL2026.02 | 71.19 | |
| ImageRewardPre-trained=true2024.05 | 70.6 | |
| DRMWeights=Random, Epoch=3, Size=2562026.05 | 70.1 | |
| DRMWeights=Random, Epoch=2, Size=2562026.05 | 68.5 | |
| CLIP ViT-H/142026.05 | 65.1 | |
| DRMWeights=Random, Epoch=1, Size=2562026.05 | 65 |