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.

Released

Unknown

Readiness

Paper only

Primary field

General AI

Benchmark Radar records only publicly supported details and links back to primary sources for verification.