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computer vision

THE GEOMETRY OF DEEP GENERATIVE IMAGE MODELS AND ITS APPLICATIONS

Published:

This paper aims to make GAN inversion and interpretability possible. Through the lens of differential geometry, the authors propose that the metric tensor has various interpretability properties – by realising it as the Hessian matrix of the distance metric.

Score Based Generative Modeling Techniques

Published:

This report presents and summarizes the latest developments in Score based generative models – with a goal to enable better understanding of existing approaches, new sampling algorithms, exact likelihood computation and conditional generation abilties to the family of score based generative models.

differential geometry

THE GEOMETRY OF DEEP GENERATIVE IMAGE MODELS AND ITS APPLICATIONS

Published:

This paper aims to make GAN inversion and interpretability possible. Through the lens of differential geometry, the authors propose that the metric tensor has various interpretability properties – by realising it as the Hessian matrix of the distance metric.

generative modeling

THE GEOMETRY OF DEEP GENERATIVE IMAGE MODELS AND ITS APPLICATIONS

Published:

This paper aims to make GAN inversion and interpretability possible. Through the lens of differential geometry, the authors propose that the metric tensor has various interpretability properties – by realising it as the Hessian matrix of the distance metric.

Score Based Generative Modeling Techniques

Published:

This report presents and summarizes the latest developments in Score based generative models – with a goal to enable better understanding of existing approaches, new sampling algorithms, exact likelihood computation and conditional generation abilties to the family of score based generative models.

langevin dynamics

Score Based Generative Modeling Techniques

Published:

This report presents and summarizes the latest developments in Score based generative models – with a goal to enable better understanding of existing approaches, new sampling algorithms, exact likelihood computation and conditional generation abilties to the family of score based generative models.