no code implementations • 13 Aug 2024 • Sruthi Sudhakar, Ruoshi Liu, Basile Van Hoorick, Carl Vondrick, Richard Zemel
Humans naturally build mental models of object interactions and dynamics, allowing them to imagine how their surroundings will change if they take a certain action.
no code implementations • 23 May 2024 • Basile Van Hoorick, Rundi Wu, Ege Ozguroglu, Kyle Sargent, Ruoshi Liu, Pavel Tokmakov, Achal Dave, Changxi Zheng, Carl Vondrick
Accurate reconstruction of complex dynamic scenes from just a single viewpoint continues to be a challenging task in computer vision.
1 code implementation • CVPR 2023 • Basile Van Hoorick, Pavel Tokmakov, Simon Stent, Jie Li, Carl Vondrick
Tracking objects with persistence in cluttered and dynamic environments remains a difficult challenge for computer vision systems.
1 code implementation • ICCV 2023 • Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick
We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an object given just a single RGB image.
no code implementations • CVPR 2022 • Basile Van Hoorick, Purva Tendulka, Didac Suris, Dennis Park, Simon Stent, Carl Vondrick
For computer vision systems to operate in dynamic situations, they need to be able to represent and reason about object permanence.
1 code implementation • ICCV 2021 • Basile Van Hoorick, Carl Vondrick
The elementary operation of cropping underpins nearly every computer vision system, ranging from data augmentation and translation invariance to computational photography and representation learning.
2 code implementations • 23 Dec 2019 • Basile Van Hoorick
This way, the hallucinated details are integrated with the style of the original image, in an attempt to further boost the quality of the result and possibly allow for arbitrary output resolutions to be supported.