CVTG-2K
CVTG-2K (Chinese Visual Text Generation 2K) is a benchmark for evaluating text-to-image models on their ability to accurately render text within generated images. It measures Word Accuracy, Normalized Edit Distance (NED), and CLIPScore across 2,000 prompts.
GLM-Image from Zhipu AI currently leads the CVTG-2K leaderboard with a score of 0.912 across 1 evaluated AI models.
GLM-Image leads with 91.2%.
Progress Over Time
Interactive timeline showing model performance evolution on CVTG-2K
CVTG-2K Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Zhipu AI | 16B | 4K | — |
FAQ
Common questions about CVTG-2K.
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