Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

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 görüntüleme • 2 yıl önce •via X (Twitter)

5 Yorum

Nathan Axcan profil fotoğrafı
Nathan Axcan2 yıl önce

@sigmundhh it's so beautiful

Chen Tessler profil fotoğrafı
Chen Tessler2 yıl önce

@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 profil fotoğrafı
James Chen2 yıl önce

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

Yilun Du profil fotoğrafı
Yilun Du2 yıl önce

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

mattie ✨ profil fotoğrafı
mattie ✨2 yıl önce

@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

Benzer Videolar