minfenli/GenRC
[ECCV 2024] GenRC: 3D Indoor Scene Generation from Sparse Image Collections
This project helps interior designers, architects, and real estate professionals create complete 3D models of indoor spaces. It takes a few sparse photos and depth measurements of a room and outputs a fully reconstructed, detailed 3D mesh of that room. This allows users to visualize and analyze spaces even with limited initial visual data.
No commits in the last 6 months.
Use this if you need to generate detailed 3D models of indoor environments from only a few images and their corresponding depth information.
Not ideal if you're looking to generate outdoor environments or if you don't have any depth information for your input images.
Stars
29
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 15, 2025
Commits (30d)
0
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