5 Most Common Hurdles in AI Image Generation

IndustryTrends

Complexity of Data: AI image generation often struggles with the complexity and variety of real-world data, impacting the quality of generated images.

Artifacts and Distortions: Common hurdles include the generation of artifacts and distortions in images, reducing their realism and usability.

Training Time and Resources: The extensive computational resources and time required for training AI models hinder widespread adoption and experimentation.

Overfitting and Generalization: AI models may struggle with overfitting, leading to poor generalization and limited diversity in generated images.

Ethical and Legal Concerns: Issues related to privacy, bias, and intellectual property rights pose significant challenges in AI image generation.

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