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Thanks for your releasing! I have some questions about the part 'Cross-time Correspondence Modeling' in your article. I am confused about the associate position. Given a point p0 in initial time, how can I get the associate position pk in other time? Is the points among different time corresponding?

I'm curious that half of your encoder is the same as this paper:
CaSPR : Learning Canonical Spatiotemporal Point Cloud Representations.
But you don't cite it.