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Implementation of Continuous Pose for Monocular Cameras in Neural Implicit Representation

License: Apache License 2.0

Python 100.00%

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qianqian121

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Question about PoseNet Implementation on Nice slam

Hi there,

I'm currently implementing your continuous-pose-in-Nerf project on co_slam and I have several questions regarding the optimization of PoseNet. Specifically, I'm wondering about the number of iterations per optimization step for each pair of PoseNet (Fi and Fo in the paper)๏ผŒ did you optimize the PoseNet every step during the iterations. Additionally, did you use just one set of PoseNet or multiple sets of PoseNet for joint optimization of all poses in the scene?

Thanks in advance for your assistance!

Best regards
Jerry Zhang

No license

First of all, nice work on this project, I'm looking forward to the Nerfstudio example.

However, currently the code has no license.
This means it cannot actually be used by any other projects (neither open source nor commercial).
If this is intentional, it would be nice to clarify this.
If it isn't intentional, it would be necessary to add a LICENSE.md file (Github can help you with this).
If you're unsure on what license would be suitable, most freely usable projects in this field, including Nerfstudio, are using the Apache2 license, which would ensure the highest cross-project compatibility.

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