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Deep Learning for Computer Vision · End Term · 31 Aug 2025 · May 2025 term · Set QIA3

Question 16: Classifier-free guidance is a technique used in diffusio…

Question 16

+2 marksOne or more correct options

Classifier-free guidance is a technique used in diffusion models to improve sample quality without the explicit use of a classifier. This technique involves modifying the sampling process based on a control parameter. If the control parameter, denoted as γ, is set to zero, what effect does this have on the generation process?

Select all that apply.

  1. A

    It fails to generate realistic samples

  2. B

    It removes all guidance, effectively making the process equivalent to the unconditional generation.

  3. C

    It maximizes the influence of the classifier, leading to highly detailed generations.

  4. D

    It can lead to more diverse samples compared to higher values of γ, as the generation process is less constrained by the conditional information.

Show answer

Correct answers

  • B

    It removes all guidance, effectively making the process equivalent to the unconditional generation.

  • D

    It can lead to more diverse samples compared to higher values of γ, as the generation process is less constrained by the conditional information.

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Question 16 of 49 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) End Term paper sat on 31 Aug 2025, in the May 2025 term (IIT M IMPROVEMENT AN EXAM QIA3 31 Aug 2025). It carries 2 marks.

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