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Deep Learning for Computer Vision · End Term · 1 Sept 2024 · May 2024 term

Question 33: Generative Adversarial Networks (GANs) are widely used t…

Question 33

+1 markOne correct option

Generative Adversarial Networks (GANs) are widely used to generate new images. Many GAN- based architectures have been developed over the years to improve the quality of
generation.Progressive GAN, a popular architecture among many others, uses a technique called progressive growing. Which one of the options below is the purpose for progressive growing?

  1. A

    To grow the range of loss function

  2. B

    To gradually train the generator by increasing the resolution of images being generated in iterations

  3. C

    To iteratively train the generator to create 3D images from 2D ones

  4. D

    To shrink the size of the generator model so generator become faster

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Correct answer

  • B

    To gradually train the generator by increasing the resolution of images being generated in iterations

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Question 33 of 34 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) End Term paper sat on 1 Sept 2024, in the May 2024 term (IIT M DEGREE AN EXAM QDB3 01 Sep 2024). It carries 1 mark.

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