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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 次观看 • 2 年前 •via X (Twitter)

5 条评论

Nathan Axcan 的头像
Nathan Axcan2 年前

@sigmundhh it's so beautiful

Chen Tessler 的头像
Chen Tessler2 年前

@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 的头像
James Chen2 年前

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

Yilun Du 的头像
Yilun Du2 年前

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

mattie ✨ 的头像
mattie ✨2 年前

@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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