Rewriting a Deep Generative Model (ECCV 2020)
Aug 18, 2020
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Generative Adversarial Networks
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Rewriting a Deep Generative Network, presented at ECCV 2020 (oral). In this paper, we show how a deep generative network can be reprogrammed by directly rewriting model weights.
Rewriting a model is challenging, because doing it effectively requires the user to develop a causally correct understanding of the structure, behavior, and purpose of the internal parameters of the network. Up to now it has been unknown whether direct model rewriting is a reasonable proposition. Our paper shows that model rewriting is feasible. The video demonstrates a user interface for editing model weights to change the rule that you choose. The paper, with more examples, code, demos, and details are linked at our website. Website:
Category: ECCV 2020
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