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Introduction to Deep Learning and Generative AI · End Term · 10 May 2026 · January 2026 term · Set 1

Question 17: Consider the evaluation metrics commonly used for genera…

Question 17

+4 marksOne or more correct options

Consider the evaluation metrics commonly used for generative models: Fréchet Inception Distance (FID), Inception Score (IS), and CLIP Score.
Which of the following statements are correct?

Select all that apply.

  1. A

    FID compares the mean and covariance of real and generated feature distributions extracted from a pretrained Inception network.

  2. B

    Inception Score directly compares generated images with real images.

  3. C

    A lower FID score indicates that generated samples are closer to the real data distribution.

  4. D

    Inception Score rewards images that are both classifiable (low entropy conditional distribution) and diverse (high entropy marginal distribution).

  5. E

    CLIP Score requires real images to compute the metric.

  6. F

    CLIP Score measures alignment between generated images and their corresponding text prompts.

  7. G

    FID and Inception Score both explicitly evaluate text-image alignment.

Show answer

Correct answers

  • A

    FID compares the mean and covariance of real and generated feature distributions extracted from a pretrained Inception network.

  • C

    A lower FID score indicates that generated samples are closer to the real data distribution.

  • D

    Inception Score rewards images that are both classifiable (low entropy conditional distribution) and diverse (high entropy marginal distribution).

  • F

    CLIP Score measures alignment between generated images and their corresponding text prompts.

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Question 17 of 24 in the IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) End Term paper sat on 10 May 2026, in the January 2026 term (Introduction To Deep Learning And Generative Ai 06 May 26 (Session 2)). It carries 4 marks.

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