tangjiapeng/DiffuScene
[CVPR 2024] DiffuScene: Denoising Diffusion Models for Generative Indoor Scene Synthesis
This project helps interior designers, architects, and 3D artists quickly create realistic indoor scene layouts. You can input existing room designs, a few objects, or a text description, and it generates diverse, well-arranged 3D indoor scenes with objects like furniture. This is for professionals who need to visualize or generate many scene variations efficiently.
331 stars. No commits in the last 6 months.
Use this if you need to rapidly generate or complete high-quality 3D indoor scenes from partial information or text descriptions, without manually placing every object.
Not ideal if you require extremely precise, hand-tuned placement of every single object with specific custom models not present in the underlying datasets.
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331
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35
Language
Python
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Last pushed
Apr 02, 2025
Commits (30d)
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curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/tangjiapeng/DiffuScene"
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