--- title: "Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix" url: https://daily.dev/posts/toward-more-controllable-ai-video-editing-an-early-research-exploration-at-netflix-je3ldvizc source_url: https://netflixtechblog.com/toward-more-controllable-ai-video-editing-an-early-research-exploration-at-netflix-eb8160ed60a2 type: article source: "Netflix TechBlog" published: 2026-06-23T07:18:33.543Z updated: 2026-06-23T08:20:13.005Z tags: ["genai", "computer-vision", "diffusion-models"] reading_time: 11 upvotes: 3 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Toward More Controllable AI Video Editing: An Early Research Exploration at Netflix **[Netflix TechBlog](https://daily.dev/sources/netflix)** · 11 min read · 3 upvotes · 0 comments ## Summary Netflix researchers present two early-stage AI video editing models: Vera and VOID. Vera is a layered video diffusion model that generates only the edited regions (plus an alpha matte) rather than regenerating the entire clip, preserving unedited content pixel-perfectly. It uses a Mixture-of-Transformers (MoT) architecture with three specialized DiTs and was trained on a custom 486k-frame layered dataset. VOID is a video object removal model that handles physically plausible inpainting — not just erasing objects but reconstructing how the scene would realistically evolve without them, using a VLM-based reasoning pipeline and quadmask conditioning. Both models outperform existing baselines in human preference studies. The research papers for both models are publicly released. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#genai](https://daily.dev/tags/genai), [#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/toward-more-controllable-ai-video-editing-an-early-research-exploration-at-netflix-je3ldvizc)