Daniel Geng

19 papers A* 8Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 A* conf
Motion Prompting: Controlling Video Generation with Motion Trajectories.
CVPR
Daniel Geng, Charles Herrmann, Junhwa Hur, Forrester Cole, Serena Zhang, Tobias Pfaff, Tatiana Lopez-Guevara, Yusuf Aytar, Michael Rubinstein, Chen Sun, Oliver Wang, Andrew Owens, Deqing Sun
2025 J jnl
Point Prompting: Counterfactual Tracking with Video Diffusion Models.
CoRR
Ayush Shrivastava, Sanyam Mehta, Daniel Geng, Andrew Owens
2024 — conf
Factorized Diffusion: Perceptual Illusions by Noise Decomposition.
ECCV (57)
Daniel Geng, Inbum Park, Andrew Owens
2024 J jnl
Factorized Diffusion: Perceptual Illusions by Noise Decomposition.
CoRR
Daniel Geng, Inbum Park, Andrew Owens
2024 A* conf
Images that Sound: Composing Images and Sounds on a Single Canvas.
NeurIPS
Ziyang Chen, Daniel Geng, Andrew Owens
2024 J jnl
Images that Sound: Composing Images and Sounds on a Single Canvas.
CoRR
Ziyang Chen, Daniel Geng, Andrew Owens
2024 A* conf
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators.
ICLR
Daniel Geng, Andrew Owens
2024 J jnl
Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators.
CoRR
Daniel Geng, Andrew Owens
2024 J jnl
Motion Prompting: Controlling Video Generation with Motion Trajectories.
CoRR
Daniel Geng, Charles Herrmann, Junhwa Hur, Forrester Cole, Serena Zhang, Tobias Pfaff, Tatiana Lopez-Guevara, Carl Doersch, Yusuf Aytar, Michael Rubinstein, Chen Sun, Oliver Wang, Andrew Owens, Deqing Sun
2024 A* conf
Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models.
CVPR
Daniel Geng, Inbum Park, Andrew Owens
2023 A* conf
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow.
NeurIPS
Zhaoying Pan, Daniel Geng, Andrew Owens
2023 J jnl
Self-Supervised Motion Magnification by Backpropagating Through Optical Flow.
CoRR
Zhaoying Pan, Daniel Geng, Andrew Owens
2023 J jnl
Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models.
CoRR
Daniel Geng, Inbum Park, Andrew Owens
2022 A* conf
Comparing Correspondences: Video Prediction with Correspondence-wise Losses.
CVPR
Daniel Geng, Max Hamilton, Andrew Owens
2021 J jnl
Comparing Correspondences: Video Prediction with Correspondence-wise Losses.
CoRR
Daniel Geng, Andrew Owens
2021 A* conf
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments.
ICLR
Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
2019 A* conf
Compositional Plan Vectors.
NeurIPS
Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine
2019 J jnl
Plan Arithmetic: Compositional Plan Vectors for Multi-Task Control.
CoRR
Coline Devin, Daniel Geng, Pieter Abbeel, Trevor Darrell, Sergey Levine
2019 J jnl
SMiRL: Surprise Minimizing RL in Dynamic Environments.
CoRR
Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn, Dinesh Jayaraman, Sergey Levine