Replicating Fig 8 from the paper
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Hi,
I am a bit stuck on how to visualise the results as was done in Figure 8 in the paper - i.e. visualising xt (and yt, zt). Is there a function which I may have missed?
If not:
I've currently modified plenoxels.models.kplanes_field.interpolate_ms_features function to evaluate a selected grid (e.g. grid (0, 2), which is one of the time-plane grid) rather than all the grids. The code then interpolates the different scales and renders the result, which I assumed was the xt plane. I'm not really sure this is correct, so I'm wondering if there are any better approaches?
Hi @azzarelli ,
What we're doing in the paper is just plotting the features themselves (so given a LowrankModel, take model.field.grids[scale_index][plane_index]) picking a single scale and plane and then averaging over all features to get a 2D tensor.