salykova/inerf
6DoF Pose Estimation using Neural Radiance Fields
This project helps pinpoint the exact 3D position and orientation of a camera relative to an object. By feeding in a neural radiance field (NeRF) model of an object and a new image of that object, it outputs the camera's precise 6-degrees-of-freedom pose. This is useful for researchers and engineers working on robotics, augmented reality, or 3D scene reconstruction.
141 stars. No commits in the last 6 months.
Use this if you need to accurately determine a camera's position and rotation in a 3D environment, especially when a NeRF model of the scene or object is already available.
Not ideal if you don't have a pre-trained NeRF model of your environment or if you require real-time pose estimation for highly dynamic scenarios.
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141
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18
Language
Python
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Last pushed
Aug 31, 2022
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