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Deep Learning Practice · End Term · 31 Aug 2025 · May 2025 term · Set QDB1

Question 14: SRGAN and ESRGAN are both deep learning architectures de…

Question 14

+5 marksOne or more correct options

SRGAN and ESRGAN are both deep learning architectures designed for single image super- resolution. Which of the following statements correctly describe the key differences between ESRGAN and SRGAN?

Select all that apply.

  1. A

    ESRGAN replaces the standard residual blocks in SRGAN with Residual-in- Residual Dense Blocks (RRDB) for better performance.

  2. B

    SRGAN employs Perceptual Loss, while ESRGAN removes it to focus only on pixel-wise MSE loss for training stability.

  3. C

    ESRGAN produces sharper and more realistic textures than SRGAN due to architectural and loss function improvements.

  4. D

    Both SRGAN and ESRGAN use a VGG-based perceptual loss computed on feature maps extracted from deeper and shallower layers, respectively, of a pretrained classifier.

  5. E

    SRGAN is trained using only adversarial and perceptual losses, whereas ESRGAN includes a content loss computed using pixel-wise L1 loss.

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Correct answers

  • A

    ESRGAN replaces the standard residual blocks in SRGAN with Residual-in- Residual Dense Blocks (RRDB) for better performance.

  • C

    ESRGAN produces sharper and more realistic textures than SRGAN due to architectural and loss function improvements.

  • E

    SRGAN is trained using only adversarial and perceptual losses, whereas ESRGAN includes a content loss computed using pixel-wise L1 loss.

Question 14 of 22 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 31 Aug 2025, in the May 2025 term (IIT M DEGREE AN EXAM QDB3 31 Aug 2025). It carries 5 marks.

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