pixel-nerf
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self.latent_scaling = self.latent_scaling / (self.latent_scaling - 1) * 2.0
In encoder.py, line 163,
self.latent_scaling = self.latent_scaling / (self.latent_scaling - 1) * 2.0
self.latent_scaling should bet a scale factor around 2, this makes no sense, because in line 98
scale = self.latent_scaling / image_size
,
self.latent_scaling
should be a absolute resolution number, I think they are contraditory.
Another question, Why is there an additional minus one here?
uv = uv * scale - 1.0
Hi,
I'm wondering if you figured it out? I do not quite understand what this step is doing at all. If the input uv is already in [-1, 1] as mentioned here, why do we even need these latent scaling things?
Thanks in advance.