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When implementation = torch, the in_tensor input of SHEncoding.forward() is expected to be unit vectors normalized between [-1, 1], as expected by components_from_spherical_harmonics(). However, when implementation = tcnn, in_tensor is expected to be vectors normalized between [0, 1], as expected by tcnn.Encoding. This inconsistency also propagates to NerfactoField and GenerfactoField.
The text was updated successfully, but these errors were encountered:
When
implementation = torch
, thein_tensor
input ofSHEncoding.forward()
is expected to be unit vectors normalized between [-1, 1], as expected bycomponents_from_spherical_harmonics()
. However, whenimplementation = tcnn
,in_tensor
is expected to be vectors normalized between [0, 1], as expected bytcnn.Encoding
. This inconsistency also propagates toNerfactoField
andGenerfactoField
.The text was updated successfully, but these errors were encountered: