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JayKarhade avatar JayKarhade commented on July 29, 2024

Hi @TwiceMao , could you be more specific about which part of the code you noticed this, and also provide some output?

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Nik-V9 avatar Nik-V9 commented on July 29, 2024

Hi, Thanks for your query!

We don't explicitly calculate gradients for the camera pose using CUDA. Instead, we use Pytorch. The camera pose can be modeled as a rigid rotation and translation of the Gaussians themselves. This is what you would do internally in a CUDA implementation anyway.

def transform_to_frame(params, time_idx, gaussians_grad, camera_grad):

Doing this in Pytorch enables us to directly compute gradients through auto-differentiation as opposed to deriving the Jacobians ourselves.

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TwiceMao avatar TwiceMao commented on July 29, 2024

Nik-V9's answer is exactly what I need, thank you for your enthusiastic answer~

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