zubair-irshad/NeO-360
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
This project helps create realistic 3D scenes of outdoor environments from a few standard photos. You provide a small set of images taken from different angles of an outdoor location, and it generates a complete, detailed 3D model that can be viewed from any perspective. This tool is ideal for urban planners, environmental researchers, or anyone needing to visualize real-world outdoor spaces in 3D without extensive photography.
245 stars. No commits in the last 6 months.
Use this if you need to generate immersive 3D visualizations of large outdoor scenes from limited photographic input.
Not ideal if you're working with indoor environments or require real-time 3D reconstruction from video feeds.
Stars
245
Forks
9
Language
Python
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Last pushed
Jul 04, 2025
Commits (30d)
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