NETWORK MODEL COMPRESSION METHOD, APPARATUS AND DEVICE, IMAGE GENERATION METHOD, AND MEDIUM

    公开(公告)号:US20240281930A1

    公开(公告)日:2024-08-22

    申请号:US18571116

    申请日:2022-09-19

    CPC classification number: G06T5/20 G06V10/761 G06V10/771

    Abstract: Embodiments of the present disclosure provide a network model compression method, apparatus and device, an image generation method, and a medium. The network model compression method includes: performing pruning processing on the first generator to obtain a second generator; and configuring states of convolution kernels in the first discriminator to enable a part of the convolution kernels to be in an activated state and the other part of the convolution kernels to be in a suppressed state, so as to obtain a second discriminator. A loss difference between the first generator and the first discriminator is a first loss difference, a loss difference between the second generator and the second discriminator is a second loss difference, and an absolute value of a difference value between the first loss difference and the second loss difference is less than a first preset threshold.

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