Search Results for author: Daniel Geng

Found 8 papers, 3 papers with code

Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control

no code implementations30 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.

Imitation Learning

Compositional Plan Vectors

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.

Imitation Learning

Comparing Correspondences: Video Prediction with Correspondence-wise Losses

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.

Optical Flow Estimation Video Prediction

Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models

no code implementations29 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.

Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators

no code implementations31 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.

Optical Flow Estimation

Factorized Diffusion: Perceptual Illusions by Noise Decomposition

no code implementations17 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.

Denoising

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