manycore-research/SpatialGen
[3DV 2026] SpatialGen: Layout-guided 3D Indoor Scene Generation
This project helps 3D artists, game developers, and interior designers rapidly create realistic 3D indoor scenes. You provide a 3D semantic layout (like a blueprint) and either a reference image or a textual description, and it generates a detailed 3D scene that matches your input. It's for professionals who need to visualize indoor spaces efficiently without building every detail from scratch.
360 stars.
Use this if you need to quickly generate detailed 3D indoor scenes from basic layouts, images, or text descriptions for design, visualization, or virtual environment creation.
Not ideal if you require highly precise, custom-modeled individual objects or outdoor environments, as its focus is on layout-guided indoor scene generation.
Stars
360
Forks
19
Language
Python
License
MIT
Category
Last pushed
Jan 27, 2026
Commits (30d)
0
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