Artiq Text AI

Challenges in Neural Network Image Generation

• Data Quality: The quality of the generated images depends directly on the dataset. Poor or biased data leads to inaccurate results.
• Training Time: Training large neural networks requires significant computational resources and time.
• Mode Collapse (in GANs): A common problem where the generator produces limited variety, outputting similar images repeatedly.
• Overfitting: The model may become too specialized to the training data, losing the ability to generate diverse or realistic images.