Jul 30, 2020 · In this paper, we introduce a new problem setting: manipulation of specific rules encoded by a deep generative model.

Model rewriting lets a person edit the internal rules of a deep network directly instead of training against a big data set.

We present the task of model rewriting, which aims to add, remove, and alter the semantic and physical rules of a pre-trained deep network. While modern image ...

Abstract. A deep generative model such as a GAN learns to model a rich set of semantic and physical rules about the target distribution, but.

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Posted: Aug 2, 2020

In this paper, we introduce a new problem setting: manipulation of specific rules encoded by a deep generative model. To address the problem, we propose a ...

Nov 3, 2020 · In this paper, we introduce a new problem setting: manipulation of specific rules encoded by a deep generative model.

In this paper, we introduce a new problem setting: manipulation of specific rules encoded by a deep generative model. To address the problem, we propose a ...

Sep 8, 2024 · A deep generative model such as a GAN learns to model a rich set of semantic and physical rules about the target distribution, ...

Jul 29, 2023 · The authors of Rewriting a Deep Generative Model propose a method to create new deep networks by rewriting the rule of an existing pre ...