Netflix's Void AI removes objects from video and rewrites reality with physics-aware editing

Reviewed byNidhi Govil

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Netflix unveiled Void AI, an open-source model that doesn't just erase objects from video—it understands physics and causality to realistically adjust the scene. Unlike traditional editing tools, Void can remove a car from a crash and eliminate all evidence of impact, or delete a person diving into a pool while leaving the water undisturbed. The model is now available on GitHub and Hugging Face.

Netflix AI Tackles Video Editing's Toughest Challenge

Netflix has released Void AI, an open-source AI model that transforms how creators remove objects from video footage

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. While top-tier editing suites can already erase elements and generate realistic shadows and reflections, they struggle when deleted objects involve significant interactions like collisions or physical contact. The Video Object and Interaction Deletion framework addresses this limitation by understanding not just what to remove, but how the scene should evolve without it

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Source: Tom's Guide

Source: Tom's Guide

Unlike tools from OpenAI or other generative AI platforms that create videos from scratch, Netflix's approach focuses on intelligently modify existing video footage. The model can remove a car from a crash scene and eliminate all evidence of impact—no flying debris, no fire, no damage to nearby props. In another demonstration, removing a person holding a guitar doesn't leave the instrument floating in mid-air; Void AI generates frames where the guitar falls naturally to the ground because it understands the object is no longer supported

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How Video Object Removal Works With Physics and Causality

The model's creators—Saman Motamed, William Harvey, Luc Van Gool, Benjamin Klein, Ta-Ying Cheng, and Zhuoning Yuan—trained Void using Kubric and Humoto to generate a paired dataset of counterfactual object removals

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. During inference, a vision-language model identifies parts of the scene impacted by the removed object, serving as a guide for the diffusion model to fill in the blanks with counterfactual data. This physics-aware approach means that when you remove a person cannonballing into a pool, the water remains naturally undisturbed as if they were never there.

Source: TechSpot

Source: TechSpot

Built on a 5-billion parameter version of CogVideoX, the open-source AI model uses a proprietary "quadmask" system to tell the AI which parts of the physics need recalculation

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. In a survey of 25 individuals, Void was preferred over rivals like ProPainter, Rose, DiffuEraser, and Generative Omnimatte nearly 65 percent of the time

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Open Source Release Signals Industry Transformation

Netflix made the model available on both GitHub and Hugging Face under an Apache 2.0 license, allowing anyone to install and use it

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. However, running Void requires substantial computational resources—specifically a GPU with at least 40GB of VRAM, such as an NVIDIA A100 or H100.

For the film industry, this technology could eliminate costly reshoots. Think of the infamous Game of Thrones Starbucks cup incident—instead of expensive frame-by-frame digital surgery, producers could simply remove the unwanted object and let the AI realistically adjust the scene

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. Not having to bring a 100-person crew back for reshoots would save immense amounts of time and money, assuming the effect remains seamless.

The Era of Editable Reality Raises New Questions

The ability to rewrites reality in video footage introduces profound implications for trust in visual media. When AI can remove a car from a collision and recalculate the remaining vehicle's path as if the accident never happened, the line between authentic and manipulated footage blurs significantly. A 19-page pre-print detailing the research is available for those interested in the technical foundations

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. As visual evidence loses its traditional authority, industries from journalism to legal proceedings will need to adapt to this new landscape where seeing no longer guarantees believing.

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