---
title: "Netflix's VOID shows video editing has finally learned the laws of physics"
url: https://daily.dev/posts/netflix-s-void-shows-video-editing-has-finally-learned-the-laws-of-physics-vfjng6lvl
source_url: https://notes.aimodels.fyi/netflixs-void-shows-video-editing-has-finally-learned-the-laws-of-physics/
type: article
source: "AIModels.fyi"
published: 2026-04-08T23:11:37.346Z
updated: 2026-04-08T23:12:26.818Z
tags: ["computer-vision", "diffusion-models"]
reading_time: 5
upvotes: 0
comments: 0
language: en
---

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# Netflix's VOID shows video editing has finally learned the laws of physics

**[AIModels.fyi](https://daily.dev/sources/aimodelsfyi)** · 5 min read · 0 upvotes · 0 comments

## Summary

Netflix and INSAIT researchers introduced VOID (Video Object and Interaction Deletion), a system that reframes video object removal as causal simulation rather than pixel inpainting. Instead of filling masked pixels, VOID uses a Vision-Language Model to identify 'causal ripples' an object leaves — shadows, reflections, physical interactions — and generates a 'quadmask' to guide a modified CogVideoX diffusion model. A two-pass pipeline addresses the 'jelly problem' where simulated moving objects deform, using flow-warped noise to maintain rigidity. Training relied on synthetic 3D data from Kubric and HUMOTO. Netflix has open-sourced the model, though it requires 40GB+ VRAM. Community reaction includes excitement about physics-aware editing and concerns about media manipulation and censorship.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://notes.aimodels.fyi/netflixs-void-shows-video-editing-has-finally-learned-the-laws-of-physics/>

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Tags: [#computer-vision](https://daily.dev/tags/computer-vision), [#diffusion-models](https://daily.dev/tags/diffusion-models)

[View this post on daily.dev](https://daily.dev/posts/netflix-s-void-shows-video-editing-has-finally-learned-the-laws-of-physics-vfjng6lvl)
