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In the article it is said "For experiments with synthetic images, we scale the scene so that it lies within a cube of side length 2 centered at the origin, and only query the representation within this bounding volume", and in the code the near is set to 2 and the far is set to 6. Feel confused about that.
Thank you :-)
The text was updated successfully, but these errors were encountered:
It depends on which dataset you are using. 4 and 6 are for datasets from blender (load-blender.py file) while the load_llff.py file uses another method to calculate near and far amounts. On the other hand, [-1,1] cube is for normalizing datasets along with each axis (x,y, z). Indeed, they bring the dataset into limited intervals (cubes) to have the simplest process. In summary, [-1.1] normalized cube method is not the same near and far method. You can eliminate only near and far concepts in particular datasets.
In the article it is said "For experiments with synthetic images, we scale the scene so that it lies within a cube of side length 2 centered at the origin, and only query the representation within this bounding volume", and in the code the near is set to 2 and the far is set to 6. Feel confused about that.
Thank you :-)
The text was updated successfully, but these errors were encountered: