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You are building a multimodal model that takes images and text descriptions as input to generate new images. You want to evaluate the impact of different image encoders (ResNet50, Efficient Net) on the generated image quality and relevance to the text prompt. Which evaluation metric(s) would be MOST appropriate for this task?
Correct Answer: D
FID measures the distance between the feature distributions of generated and real images, indicating image quality and diversity. CLIP Score measures the similarity between the generated image and the text prompt, evaluating relevance. IS more suitable for evaluating unimodal image generation. Perplexity and BLEU score are for text generation.