Comparing Chameleon AI to Leading Image-to-Text Models | HackerNoon
In evaluating Chameleon, we focus on tasks requiring text generation conditioned on images, particularly image captioning and visual question-answering, with results grouped by task specificity.
Limitations in AI Model Evaluation: Bias, Efficiency, and Human Judgment | HackerNoon
Our work identifies 12 important aspects in real-world deployments of text-to-image generation models, including alignment, quality, aesthetics, reasoning, bias, and efficiency.