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luost26 avatar luost26 commented on July 23, 2024

I named the variable scaled because e_scaled is already scaled by c1. The scaling factor c1 is set as the std of the distribution.

self.angular_distrib_fwd = ApproxAngularDistribution(c1.tolist(), **angular_distrib_fwd_opt)

e_normal is for debugging. Just to check whether it comes back to a standard normal after division.

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pengzhangzhi avatar pengzhangzhi commented on July 23, 2024

My bad! Thank you soooo much.

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pengzhangzhi avatar pengzhangzhi commented on July 23, 2024

@luost26 , Hi. I have another question regarding the posterior formula of orientation
image

Why the mean of the posterior is the predicted O_0 instead of the interpolation between O_t and predicted O_0. The later one is more popular in Diffusion Model, including original DDPM.

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