Seeing a Rose in Five Thousand Ways

Zhang, Yunzhi; Wu, Shangzhe; Snavely, Noah; Wu, Jiajun

doi:10.1109/cvpr52729.2023.00099

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

DOI: 10.1109/cvpr52729.2023.00099

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Seeing a Rose in Five Thousand Ways

Yunzhi Zhang,

Shangzhe Wu,

Noah Snavely

et al.

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2024

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Physical scene understanding

2024

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Current AI systems still fail to match the flexibility, robustness, and generalizability of human intelligence: how even a young child can manipulate objects to achieve goals of their own invention or in cooperation, or can learn the essentials of a complex new task within minutes. We need AI with such embodied intelligence: transforming raw sensory inputs to rapidly build a rich understanding of the world for seeing, finding, and constructing things, achieving goals, and communicating with others. This problem of physical scene understanding is challenging because it requires a holistic interpretation of scenes, objects, and humans, including their geometry, physics, functionality, semantics, and modes of interaction, building upon studies across vision, learning, graphics, robotics, and AI. My research aims to address this problem by integrating bottom‐up recognition models, deep networks, and inference algorithms with top‐down structured graphical models, simulation engines, and probabilistic programs.

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Physical scene understanding

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Seeing a Rose in Five Thousand Ways

Cited by 1 publication

References 24 publications

Physical scene understanding

Physical scene understanding

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