- 专利标题: NETWORK TRAINING METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM
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申请号: US17853816申请日: 2022-06-29
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公开(公告)号: US20220327385A1公开(公告)日: 2022-10-13
- 发明人: Xingang PAN , Xiaohang ZHAN , Bo DAI , Dahua LIN , Ping LUO
- 申请人: Beijing Sensetime Technology Development Co., Ltd.
- 申请人地址: CN Beijing
- 专利权人: Beijing Sensetime Technology Development Co., Ltd.
- 当前专利权人: Beijing Sensetime Technology Development Co., Ltd.
- 当前专利权人地址: CN Beijing
- 优先权: CN202010023029.7 20200109
- 主分类号: G06N3/08
- IPC分类号: G06N3/08 ; G06T3/40 ; G06N3/04
摘要:
The present disclosure relates to a network training method, an electronic device and a storage medium. The network training method includes the following steps. At least one implicit vector may be input into at least one pre-trained generative network to obtain a first generated image; the generative network may be obtained with a discriminative network through adversarial trainings with a plurality of natural images. A degradation process may be performed on the first generated image to obtain a first degraded image of the first generated image. The implicit vector and the generative network may be trained according to the first degraded image and a second degraded image of at least one target image; the trained generative network and the trained implicit vector may be used to generate at least one reconstructed image of the target image.
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