3d Generative Models Professors in Global

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Yi Fang
New York University Tandon School of Engineering United States of America
3d deep learning
3d computer vision
3d vision-based ai
3d meta-learning
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Angela Dai
Technical University of Munich Germany
generative 3d deep learning
3d reconstruction
3d understanding
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Sisi Zlatanova
University of New South Wales Australia
3d indoor modelling
3d spatial analysis
3d gis
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Syed Haider
Columbia University United States of America
generative ai
predictive modeling
large language models
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Guy Bresler
Massachusetts Institute of Technology United States of America
mathematical models
graphical models
statistical models
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Nicholas Hedley
Simon Fraser University Canada
3d geovisualization
3d giscience
3d surveying
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Lingjie Liu
University of Pennsylvania United States of America
3d generative models
3d reconstruction
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Priyanka Rana
Macquarie University Australia
generative models
3d
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Amos Storkey
University of Edinburgh United Kingdom
generative models
generative ai
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Jun Gao
University of Michigan United States of America
generative models
3d computer vision
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Rebecca Strzelec
University of Michigan United States of America
3d modeling
3d printing
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Tiberiu Popa
Concordia University Canada
3d modeling
3d
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Andreas Giannopoulos
University of Zurich Switzerland
3d modeling
3d printing
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Philippe Lalande
University of Montreal Canada
3d modeling
2d modeling
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Marcus Brubaker
York University Canada
generative models
3d structure estimation
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Ingo Ziegler
University of Copenhagen Denmark
generative modeling
synthetic data generation
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Jeong Park
University of Michigan United States of America
generative modeling
3d reconstruction
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David Duvenaud
University of Toronto Canada
generative models
deep probabilistic models
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Gustav Henter
KTH Royal Institute of Technology Sweden
deep generative models
3d character animation
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Harsha Honnappa
Purdue University United States of America
generative modeling
stochastic models
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Andi Han
University of Sydney Australia
generative models
large language models
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