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Introducing Streaming Diffusion Policy (SDP)! SDP allows you to generate actions using a single denoising step, with no distillation! SDP keeps an action buffer of partially denoised future actions, which is refined over time. Led by Sigmund Hennum Høeg

33,838 views • 2 years ago •via X (Twitter)

5 Comments

Nathan Axcan's profile picture
Nathan Axcan2 years ago

@sigmundhh it's so beautiful

Chen Tessler's profile picture
Chen Tessler2 years ago

@sigmundhh Very neat! The connection to "uncertainty" also makes a lot of sense in this setting. Actions "far into the future" are harder to predict, as the state you'll be in is less clear (e.g., stochastic dynamics). So you only start "committing" to an action as it becomes close.

James Chen's profile picture
James Chen2 years ago

@sigmundhh Did you guys try something mctg-like from Diffusion Forcing with this method to see if there's a performance benefit?

Yilun Du's profile picture
Yilun Du2 years ago

@sigmundhh We didn’t get a chance — that would be cool to do!

mattie ✨'s profile picture
mattie ✨2 years ago

@sigmundhh Both this and Diffusion Forcing have literally opened doors for me to revisit an old project and possibly complete it. Great work @du_yilun

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