Which type of model accepts text as input and generates images as output?

Homework Help: Questions and Answers: Which type of model accepts text as input and generates images as output?

a) Fixed Model
b) Discriminative model
c) Variable Model
d) Generative Model

Answer:

First, let’s understand the question: Its about to find the model accepts text as input and generates images as output.

Given Options: Step by Step Answering

a) Fixed Model

A “Fixed Model” typically refers to a model with a fixed structure or parameters that do not change after training. This term does not describe a model that can generate images from text.
This is incorrect because it doesn’t align with the requirement of generating images from text.

b) Discriminative Model

Discriminative models are designed to classify input data into categories or make predictions based on input data, typically by distinguishing between different classes. These models do not generate new data (such as images from text) but instead focus on classification tasks.
This is also Incorrect because discriminative models don’t produce images from text input.

c) Variable Model

“Variable Model” is not a standard term for models in machine learning and does not imply a type of model that generates new content based on input text.
This is Incorrect because this option is not relevant to text-to-image generation.

d) Generative Model

Generative models are designed to create or generate new data samples that resemble the training data. Examples include models like GANs (Generative Adversarial Networks) and diffusion models, which can be used to generate images from text descriptions.
This is Correct because generative models can take text as input and create new images.

Final Answer:

Based on the above analysis, the correct answer is:

d) Generative Model

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