Uploaded November 2025 | Updated September 2026, 2 weeks ago

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Learn how to fix jump cuts with AI using Jump Cut Fixer ML for Boris FX Continuum, the ultimate tool for smoothing out edits in interviews and talking head footage. This tutorial demonstrates how to use advanced machine learning to hide cuts without the need for a B-camera or awkward digital zooms.

Zak Ciotti addresses the "uncanny valley" head-on, showing you how the same deep learning models found in FrameFixer ML intelligently generate the missing motion between your clips. You will learn the best strategies for matching frames to avoid artifacts, how to time your cuts for the cleanest AI morphs, and exactly when to deploy this effect to save a shot when retakes aren't an option.

Don't let jarring transitions pull your audience out of the story. Witness how artificial intelligence can create seamless, "fake-looking" (in the best way possible!) transitions that make your unscripted takes look like a single, perfect performance - watch this tutorial now to see Jump Cut Fixer ML in action.

LEARN MORE AND DOWNLOAD A TRIAL: borisfx.com/products/continuum

// D I S C O R D C H A N N E L //
borisfxdiscord.com

// K E Y P O I N T S //
• Understanding the jump cut problem
• Applying BCC+ Jump Cut Fixer ML
• Cutting for clean AI morphing
• Avoiding motion artifacts
• Best practices for interview editing

Learn more about Continuum here: borisfx.com/products/continuum

// C H A P T E R L I S T //
00:00 - Introduction to Jump Cut Fixer ML
00:30 - What is a Jump Cut?
01:15 - How to Apply the ML Transition
02:10 - Tips for the Best AI Morphs
03:45 - Troubleshooting and Artifacts
05:20 - When to Avoid the Effect
06:30 - Real-World Interview Examples
07:45 - Final Results and Wrap Up

#BorisFX #Continuum #AIVideoEditing