no code implementations • 17 Apr 2024 • Daniel Geng, Inbum Park, Andrew Owens
And we explore a decomposition by a motion blur kernel, which produces images that change appearance under motion blurring.
no code implementations • 31 Jan 2024 • Daniel Geng, Andrew Owens
Diffusion models are capable of generating impressive images conditioned on text descriptions, and extensions of these models allow users to edit images at a relatively coarse scale.
no code implementations • 29 Nov 2023 • Daniel Geng, Inbum Park, Andrew Owens
During the reverse diffusion process, we estimate the noise from different views of a noisy image, and then combine these noise estimates together and denoise the image.
1 code implementation • CVPR 2022 • Daniel Geng, Max Hamilton, Andrew Owens
Image prediction methods often struggle on tasks that require changing the positions of objects, such as video prediction, producing blurry images that average over the many positions that objects might occupy.
1 code implementation • ICLR 2021 • Glen Berseth, Daniel Geng, Coline Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
Every living organism struggles against disruptive environmental forces to carve out and maintain an orderly niche.
1 code implementation • NeurIPS 2019 • Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine
We show that CPVs can be learned within a one-shot imitation learning framework without any additional supervision or information about task hierarchy, and enable a demonstration-conditioned policy to generalize to tasks that sequence twice as many skills as the tasks seen during training.
no code implementations • 30 Oct 2019 • Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine
We show that CPVs can be learned within a one-shot imitation learning framework without any additional supervision or information about task hierarchy, and enable a demonstration-conditioned policy to generalize to tasks that sequence twice as many skills as the tasks seen during training.
no code implementations • 25 Sep 2019 • Glen Berseth, Daniel Geng, Coline Devin, Dinesh Jayaraman, Chelsea Finn, Sergey Levine
All living organisms struggle against the forces of nature to carve out niches where they can maintain relative stasis.
Unsupervised Pre-training Unsupervised Reinforcement Learning