nv-tlabs/ATISS
Code for "ATISS: Autoregressive Transformers for Indoor Scene Synthesis", NeurIPS 2021
This project helps interior designers and architects rapidly generate various indoor scene layouts for different room types, like bedrooms or living rooms. It takes existing 3D furniture and room datasets as input and outputs new, plausible 3D scene compositions, including object placements and room masks. An interior designer or architect looking to quickly prototype or explore numerous layout options for a given space would find this useful.
330 stars. No commits in the last 6 months.
Use this if you need to automatically generate diverse, realistic 3D indoor scene layouts based on existing furniture models and room configurations.
Not ideal if you are looking for a simple drag-and-drop tool for manual 3D scene design or if you don't have access to large 3D asset datasets.
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330
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60
Language
Python
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Last pushed
Oct 23, 2023
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