Artificial Intelligence-Based Video Content Creation with Predetermined Styles

A computing system, comprising:

• one or more processors;
• and
• one or more memories having stored thereon instructions that when executed by the one or more processors, cause the system to:
• capture one or more test images of a scene using different film formats to document visual effects;
• construct a training dataset from the captured test images, the training dataset including a variety of shots captured under varied lighting conditions;
• train an artificial intelligence (AI) model using the training dataset to learn specific visual signatures associated with the different film formats and lighting conditions;
• assess, by the AI model, authenticity of generated footage based on the learned visual signatures;
• and
• optimize learning cycles of the AI model based on the assessment to enhance the training.

A non-transitory computer-readable medium having stored thereon instructions that when executed by one or more processors, cause a computer to:

• capture one or more test images of a scene using different film formats to document visual effects;
• construct a training dataset from the captured test images, the training dataset including a variety of shots captured under varied lighting conditions;
• train an artificial intelligence (AI) model using the training dataset to learn specific visual signatures associated with the different film formats and lighting conditions;
• assess, by the AI model, authenticity of generated footage based on the learned visual signatures;
• and
• optimize learning cycles of the AI model based on the assessment to enhance the training.