NCA-GENM Exam Dumps | You are training a conditional generative model to generate images based on text descriptions. You notice

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Question 100/192

You are training a conditional generative model to generate images based on text descriptions. You notice that the generated images often lack fine-grained details and tend to be blurry, even though the overall structure matches the text description. Which of the following techniques would be MOST effective in improving the image quality and adding finer details?

A. Increase the batch size used for training.

B. Use a simpler generator architecture.

C. Implement a perceptual loss function that compares high-level features of generated and real images.

D. Decrease the learning rate of the discriminator.

E. Train the model for fewer epochs.

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