PixelCNN++
时间: 2023-10-28 11:06:03 浏览: 82
PixelCNN是一种自回归模型,用于生成图像。它通过逐个像素地生成图像来实现推理。首先,我们向模型传递一个初始值,例如0,然后执行前向传播并获得生成像素的分布。根据这个分布,我们从多项式概率分布中抽取一个像素值,并将其用于更新图像。重复这个过程直到生成所有像素值为止。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* [自回归模型 - PixelCNN](https://blog.csdn.net/m0_46510245/article/details/120542010)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
- *3* [如何比较PixelCNN与DCGAN两种Image generation方法?](https://blog.csdn.net/c2a2o2/article/details/68953256)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}}] [.reference_item style="max-width: 50%"]
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