UniqAI/gaussian-splatting
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update SIBR viewer commit, update readme.

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alanvinx 2024-09-09 13:33:18 +02:00
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README.md
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@ -513,7 +513,8 @@ To compensate for exposure changes in the different input images we optimize an
Again, other excellent papers have used similar ideas e.g. [NeRF-W](https://nerf-w.github.io/), [URF](https://urban-radiance-fields.github.io/).
### Anti aliasing
We added the EWA Filter from [Mip Splatting](https://niujinshuchong.github.io/mip-splatting/) in our codebase to remove aliasing. It is disabled by default but you can enable it by adding `--antialiasing` when training on a scene using `train.py` or rendering using `render.py`.
We added the EWA Filter from [Mip Splatting](https://niujinshuchong.github.io/mip-splatting/) in our codebase to remove aliasing. It is disabled by default but you can enable it by adding `--antialiasing` when training on a scene using `train.py` or rendering using `render.py`. Antialiasing can be toggled in the SIBR viewer, it is disabled by default but you should enable it when viewing a scene trained using `--antialiasing`.
![aa](/assets/aa_onoff.gif)
### SIBR: Top view
> `Views > Top view`
@ -536,7 +537,7 @@ A useful additional functionality is to move to the position of an input image,
### OpenXR support
OpenXR is supported in the branch gaussian_code_release_openxr
OpenXR is supported in the branch `gaussian_code_release_openxr`
Within that branch, you can find documentation for VR support [here](https://gitlab.inria.fr/sibr/sibr_core/-/tree/gaussian_code_release_openxr?ref_type=heads).

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