Image Generation On Textatlaseval
评估指标
StyledTextSynth Clip Score
StyledTextSynth FID
StyledTextSynth OCR (Accuracy)
StyledTextSynth OCR (Cer)
StyledTextSynth OCR (F1 Score)
TextScenesHQ Clip Score
TextScenesHQ FID
TextScenesHQ OCR (Accuracy)
TextScenesHQ OCR (Cer)
TextScenesHQ OCR (F1 Score)
TextVisionBlend Clip Score
TextVisionBlend FID
TextVisionBlend OCR (Accuracy)
TextVisionBlend OCR (Cer)
TextVsionBlend OCR (F1 Score)
评测结果
各个模型在此基准测试上的表现结果
比较表格
| 模型名称 | StyledTextSynth Clip Score | StyledTextSynth FID | StyledTextSynth OCR (Accuracy) | StyledTextSynth OCR (Cer) | StyledTextSynth OCR (F1 Score) | TextScenesHQ Clip Score | TextScenesHQ FID | TextScenesHQ OCR (Accuracy) | TextScenesHQ OCR (Cer) | TextScenesHQ OCR (F1 Score) | TextVisionBlend Clip Score | TextVisionBlend FID | TextVisionBlend OCR (Accuracy) | TextVisionBlend OCR (Cer) | TextVsionBlend OCR (F1 Score) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| infinity-mm-scaling-multimodal-performance | 0.2727 | 84.95 | 0.80 | 0.93 | 1.42 | 0.2346 | 71.59 | 1.06 | 0.88 | 1.74 | 0.1979 | 95.69 | 2.98 | 0.83 | 3.44 |
| 模型 2 | 0.2938 | 90.70 | 30.58 | 0.78 | 38.25 | 0.3367 | 86.73 | 69.26 | - | 51.63 | 0.1938 | 153.21 | 8.38 | 0.93 | 7.94 |
| 模型 3 | 0.2849 | 71.09 | 27.21 | 0.73 | 33.86 | 0.2363 | 64.44 | 19.03 | 0.73 | 24.45 | 0.1846 | 118.85 | 14.55 | 0.88 | 16.25 |
| 模型 4 | 0.2938 | 80.33 | 15.82 | 0.73 | 21.40 | 0.3197 | - | 35.07 | 0.57 | 37.94 | 0.1697 | - | 41.54 | 0.57 | 44.22 |
| pixart-s-weak-to-strong-training-of-diffusion | 0.2764 | 82.83 | 0.42 | 0.90 | 0.62 | 0.2347 | 72.62 | 0.34 | 0.91 | 0.53 | 0.1891 | 81.29 | 2.40 | 0.83 | 1.57 |
| textdiffuser-2-unleashing-the-power-of | 0.2510 | 114.31 | 0.76 | 0.99 | 1.46 | 0.2252 | 84.10 | 0.66 | 0.96 | 1.25 | - | - | - | - | - |
| anytext-multilingual-visual-text-generation | 0.2501 | 117.71 | 0.35 | 0.98 | 0.66 | 0.2174 | 101.32 | 0.42 | 0.95 | 0.8 | - | - | - | - | - |