Zobrazeno 1 - 8
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pro vyhledávání: '"Van Hoorick, Basile"'
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. While generative models today have shown impressive results on generating/editing ima
Externí odkaz:
http://arxiv.org/abs/2408.07147
Autor:
Van Hoorick, Basile, Wu, Rundi, Ozguroglu, Ege, Sargent, Kyle, Liu, Ruoshi, Tokmakov, Pavel, Dave, Achal, Zheng, Changxi, Vondrick, Carl
Accurate reconstruction of complex dynamic scenes from just a single viewpoint continues to be a challenging task in computer vision. Current dynamic novel view synthesis methods typically require videos from many different camera viewpoints, necessi
Externí odkaz:
http://arxiv.org/abs/2405.14868
Tracking objects with persistence in cluttered and dynamic environments remains a difficult challenge for computer vision systems. In this paper, we introduce $\textbf{TCOW}$, a new benchmark and model for visual tracking through heavy occlusion and
Externí odkaz:
http://arxiv.org/abs/2305.03052
Autor:
Liu, Ruoshi, Wu, Rundi, Van Hoorick, Basile, Tokmakov, Pavel, Zakharov, Sergey, Vondrick, Carl
We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an object given just a single RGB image. To perform novel view synthesis in this under-constrained setting, we capitalize on the geometric priors that large-scale diffusion mo
Externí odkaz:
http://arxiv.org/abs/2303.11328
Autor:
Van Hoorick, Basile, Tendulkar, Purva, Suris, Didac, Park, Dennis, Stent, Simon, Vondrick, Carl
For computer vision systems to operate in dynamic situations, they need to be able to represent and reason about object permanence. We introduce a framework for learning to estimate 4D visual representations from monocular RGB-D, which is able to per
Externí odkaz:
http://arxiv.org/abs/2204.10916
Autor:
Van Hoorick, Basile, Vondrick, Carl
The elementary operation of cropping underpins nearly every computer vision system, ranging from data augmentation and translation invariance to computational photography and representation learning. This paper investigates the subtle traces introduc
Externí odkaz:
http://arxiv.org/abs/2011.11831
Autor:
Van Hoorick, Basile
Although the inherently ambiguous task of predicting what resides beyond all four edges of an image has rarely been explored before, we demonstrate that GANs hold powerful potential in producing reasonable extrapolations. Two outpainting methods are
Externí odkaz:
http://arxiv.org/abs/1912.10960
Autor:
Van Hoorick, Basile, Vondrick, Carl
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
The elementary operation of cropping underpins nearly every computer vision system, ranging from data augmentation and translation invariance to computational photography and representation learning. This paper investigates the subtle traces introduc