Physical Datasets, Naive and Flow, v03 Translation
Created on June 14|Last edited on June 15
Comment
(06/13/2022)
- This is with 2 different translation datasets, and the flow vs naive methods.
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- Using data augmentation gaussian_0.00001.
- Remind, eval MSEs are not directly comparable due to tool flow vs direct vector but we might want to change this.
- We do NOT do any scaling for the flow-based methods because I figured (a) this was over-complicating things, (b) if we do scale, and we predict the scaled flow vectors, the induced rotation from that will not be the same as the induced rotation if we divide the scale vectors, so that's another problem (though in this case, not really an issue since it's translation only datasets).
Results
3D Flow SVD Consistency
2
Naive PN++ Vector
2
Just the Flow Methods
Now just showing the flow methods so we can take another look at this. I would honestly said we need more than 500 epochs, maybe 600 now?
Flow Methods
2
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