Picture this: You're watching a movie and there's a crucial scene where the protagonist delivers a stellar performance in a mid-shot, but you can't help but feel like something's missing. Suddenly, you realize that the shot should have been a close-up to capture the emotion and intensity of the scene.

In the past, filmmakers would have to settle for sacrificing the resolution of the shot by "punching in" to frame it as a close-up. But with Nuke's powerful machine learning tool, CopyCat, you can now achieve the perfect shot without any compromises.

CopyCat can be trained to retain the resolution you would normally lose with upscaling, making your new close-up look as sharp as it would have if filmed on set. This means that you can capture every nuance of your actor's performance and bring it to life on the big screen with unparalleled clarity.

By using CopyCat, you're not only saving time and money, but you're also ensuring that your film has the highest possible production value. So why settle for a mediocre shot when you can have the perfect one?