<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>视频生成 on M1YAN&#39;s Blog</title>
    <link>https://m1yan.github.io/tags/%E8%A7%86%E9%A2%91%E7%94%9F%E6%88%90/</link>
    <description>Recent content in 视频生成 on M1YAN&#39;s Blog</description>
    <image>
      <title>M1YAN&#39;s Blog</title>
      <url>https://m1yan.github.io/images/papermod-cover.png</url>
      <link>https://m1yan.github.io/images/papermod-cover.png</link>
    </image>
    <generator>Hugo -- 0.163.3</generator>
    <language>zh</language>
    <copyright>M1Yan&amp;rsquo;s Blog</copyright>
    <lastBuildDate>Mon, 17 Feb 2025 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://m1yan.github.io/tags/%E8%A7%86%E9%A2%91%E7%94%9F%E6%88%90/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Diffusion Model for Video Generation</title>
      <link>https://m1yan.github.io/posts/video_generation/</link>
      <pubDate>Mon, 17 Feb 2025 00:00:00 +0000</pubDate>
      <guid>https://m1yan.github.io/posts/video_generation/</guid>
      <description>&lt;blockquote&gt;
&lt;p&gt;全文为&lt;a href=&#34;https://lilianweng.github.io/posts/2024-04-12-diffusion-video/&#34;&gt;Weng, Lilian. (Apr 2024). Diffusion Models Video Generation. Lil’Log.&lt;/a&gt;的中文翻译版本。&lt;/p&gt;
&lt;/blockquote&gt;
&lt;p&gt;在过去几年里，扩散模型在图像合成方面显示出了优异的效果。现在，研究界已经开始着手一项更加艰巨的任务——将扩散模型用于视频生成。该任务可以看作是图像生成的超集，因为图像可以认为是1帧的视频，但是图像生成更加具有挑战性，原因如下：&lt;/p&gt;</description>
    </item>
  </channel>
</rss>
