Netflix/void-model

Health v2 · maintenance only

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1965 stars · 185 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

VOID (Video Object and Interaction Deletion) is a research model from Netflix that removes objects from videos along with the physical interactions they induce on the scene, built on CogVideoX and fine-tuned for interaction-aware video inpainting. It ships transformer checkpoints via Hugging Face with a Gradio demo and Colab notebook.

Use cases

• remove a person from a video and make held objects fall naturally
• erase objects from video clips including shadows and reflections
• interaction-aware video inpainting with masks
• research on video object removal models
• run video inpainting with CogVideoX checkpoints

When to choose

• you need object removal from videos that accounts for physical interactions
• you want a state-of-the-art video inpainting model with pretrained checkpoints
• you are doing computer vision research on video editing

When to avoid

• you need a production-ready video editing pipeline with Diffusers support (still a TODO)
• you lack GPU resources for large video diffusion inference
• you only need simple 2D image inpainting

Facets

library · maturity active

video-processing image-processing machine-learning deep-learning computer-vision machine-learning artificial-intelligence python video-inpainting object-removal cogvideox diffusion-model eccv-2026 research video gpu

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markdown · JSON · MCP: product_card(name="Netflix/void-model")