NCA-GENM Exam Dumps | You are developing a multimodal generative model that takes a text description as input and generates

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Question 107/192

You are developing a multimodal generative model that takes a text description as input and generates a corresponding image. However, you notice that the generated images often lack fine-grained details and realism. Which of the following approaches could you employ to improve the quality and realism of the generated images? (Select all that apply)

A. Use a higher-resolution image generator architecture.

B. Train the model using a generative adversarial network (GAN) framework.

C. Implement a loss function that encourages the generated images to match the statistical distribution of real images.

D. Decrease the size of the text encoder.

E. Use a smaller training dataset.

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