<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>ControlVideo | AI探索指南</title><description>关于AIGC人工智能、思维方式、知识拓展，能力提升等。投稿/合作： @inside1024_botAIGC 领域的最新工具、开源项目以及行业大事件</description><link>https://ai.988589.xyz</link><item><title>RT forasteran#ControlVideo ControlNet派生で凄そうtxt2videoの寵児なるかフレーム間の外観の一貫性フリッカー効果軽減(フレーム補間)短クリップを別々に合成する階層型サンプラで全体的な一貫性保持📃今週あたりにコード公開🔧AK: ControlVideo: Training-free Controllable Text-to-Video GenerationControlVideo, adapted from ControlNet, leverages coarsely structural consistency from input motion sequences, and introduces three modules to improve video generation. Firstly, to ensure appearance coherence… </title><link>https://ai.988589.xyz/posts/2486</link><guid isPermaLink="true">https://ai.988589.xyz/posts/2486</guid><pubDate>Tue, 23 May 2023 23:44:06 GMT</pubDate><content:encoded>&lt;div&gt;
      
        &lt;img src=&quot;https://cdn4.telesco.pe/file/BjKk3ic97L0KsibbaI-3sfijMK4HOyvDmIky3BC9qottph8BMI-a8YKrvh_ijfwWhWRLUewMLWdP7Y9juuDaInCRGzwwPCymaH5K_Cgxd6gOAL7VrZvoGMGua5KGvJ1dZc_6bGeTrN2ECkTsfUDAabsqFyTSNUTFao7ZWBchdGxhI1rlKRpYYXuv_E_9-w2qNFGwvYMi-RvCd2yGkiCHvgnnxssv8duX-BObaxz4Jb84w50Cfq_YNCXC7d9Wz0pXwt23GZyDRnxvt31Fjj5bP6GV_KUJFRGlmtJpE6G3ZlH8MdXiD2r-kDj8Hpxd5es7hbdU22_YkXNdl9iMYUJvPQ.jpg&quot; alt=&quot;RT forasteran#ControlVideo ControlNet派生で凄そうtxt2videoの寵児なるかフレーム間の外観の一貫性フリッカー効果軽減(フレーム補間)短クリップを別々に合成する階層型サンプラで全体的な一貫性保持📃今週あたりにコード公開🔧AK: ControlVideo: Training-free Controllable Text-to-Video GenerationControlVideo, adapted from ControlNet, leverages coarsely structural consistency from input motion sequences, and introduces three modules to improve video generation. Firstly, to ensure appearance coherence… &quot; loading=&quot;lazy&quot; /&gt;
      
      
        
      
    &lt;/div&gt;&lt;video src=&quot;https://cdn4.telesco.pe/file/bab64748b1.mp4?token=jRRsCm0bv-m9vr6Oei9pkvMGr6l5dIhprVox2dD3MtIhByCsUyrNdtaHvvm5FLAfHdKi6f7Hchd3jMdkY9w2i7wLRZyFaz47z8JdzB5IpPfzwg2WlljlBapN3BqKXTw-nFqai15jqOUJyCJ77e9cVpNTHs3j0KFfrw6vay222RqfB6Xd5XHXw_G25XfoVI9bmbAPGpoYZKaI0M-ggeep5xQHHMUjTAdjsRtB7-XM2I7UMwhPZf9OA66eHDpM-fRyWtX001pCLZ4QZK8Yq1HtaKbn_J4naYqVsNVJRK-RmRbP8X4H6hpT7jwNWH52GS0lOo4bdPOg9oJ-tBmsRziIsw&quot; width=&quot;100%&quot; height=&quot;100%&quot;&gt;&lt;/video&gt;&lt;div&gt;RT forasteran&lt;br /&gt;&lt;a href=&quot;/search/%23ControlVideo&quot;&gt;#ControlVideo&lt;/a&gt; ControlNet派生で凄そう&lt;br /&gt;&lt;br /&gt;txt2videoの寵児なるか&lt;br /&gt;フレーム間の外観の一貫性&lt;br /&gt;フリッカー効果軽減(フレーム補間)&lt;br /&gt;短クリップを別々に合成する階層型サンプラで全体的な一貫性保持&lt;br /&gt;&lt;br /&gt;&lt;i&gt;&lt;b&gt;📃&lt;/b&gt;&lt;/i&gt;&lt;br /&gt;今週あたりにコード公開&lt;br /&gt;&lt;i&gt;&lt;b&gt;🔧&lt;/b&gt;&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;AK: &lt;mark&gt;ControlVideo&lt;/mark&gt;: Training-free Controllable Text-to-Video Generation&lt;br /&gt;&lt;br /&gt;&lt;mark&gt;ControlVideo&lt;/mark&gt;, adapted from ControlNet, leverages coarsely structural consistency from input motion sequences, and introduces three modules to improve video generation. Firstly, to ensure appearance coherence…&lt;br /&gt;&lt;br /&gt; &lt;a href=&quot;https://twitter.com/i/web/status/1660817314869293056&quot; target=&quot;_blank&quot;&gt;https://twitter.com/i/web/status/1660817314869293056&lt;/a&gt;&lt;/div&gt;</content:encoded></item></channel></rss>