Ready-to-use Colab Notebook & Physical Causality Performance Tests
Hi everyone, and thanks to the Netflix team for open-sourcing this amazing model!
I noticed that setting up the environment and getting the quadmasks recognized properly can be a bit tricky. To help the community, I've created a repository containing a fully working, ready-to-run Google Colab Notebook for the VOID model.
I also ran several performance tests focusing specifically on the model's physical causal reasoning capabilities (e.g., removing large obstacles from dynamic scenes, falling objects, and fluid dynamics).
You can check out the inference results and use the Colab notebook here:
🔗 https://github.com/ErenAta16/Netflix-Void-Model-Performance-Tests
The repo includes:
A streamlined Colab pipeline (bypassing common file-naming and setup errors).
Inference results for "Ducky Float" (fluid dynamic recalculation).
Inference results for "The Lime" (gravity/falling object interaction).
A custom real-world test removing a massive Ice Cream Van blocking a walkway to test background reconstruction.
Hope this helps anyone looking to quickly test the model. Feedback and contributions are welcome!