<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rendering on 中文AI术语词典</title><link>https://terms-en.ai-term-hub.com/zh/tags/rendering/</link><description>Recent content in Rendering on 中文AI术语词典</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 18 Jul 2026 11:44:45 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/zh/tags/rendering/index.xml" rel="self" type="application/rss+xml"/><item><title>深度学习抗锯齿</title><link>https://terms-en.ai-term-hub.com/zh/terms/deep_learning_anti_aliasing/</link><pubDate>Sat, 18 Jul 2026 11:13:51 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/zh/terms/deep_learning_anti_aliasing/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>深度学习抗锯齿是指利用神经网络减轻混叠伪影的方法，混叠伪影发生在高频信号以不足的速率采样时。在计算机图形学&amp;hellip;&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>使用神经网络减少渲染图像或下采样特征中如锯齿状边缘等视觉伪影的技术。&lt;/p>
&lt;h2 id="key-concepts">Key Concepts&lt;/h2>
&lt;ul>
&lt;li>信号处理&lt;/li>
&lt;li>特征平滑&lt;/li>
&lt;li>下采样&lt;/li>
&lt;li>视觉伪影&lt;/li>
&lt;/ul>
&lt;h2 id="use-cases">Use Cases&lt;/h2>
&lt;ul>
&lt;li>图像超分辨率&lt;/li>
&lt;li>神经渲染&lt;/li>
&lt;li>视频稳定&lt;/li>
&lt;/ul>
&lt;h2 id="related-terms">Related Terms&lt;/h2>
&lt;ul>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/%E8%B6%85%E9%87%87%E6%A0%B7-super-sampling/">超采样 (Super sampling)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/%E5%8D%B7%E7%A7%AF-convolution/">卷积 (Convolution)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/%E6%B1%A0%E5%8C%96-pooling/">池化 (Pooling)&lt;/a>&lt;/li>
&lt;li>&lt;a href="https://terms-en.ai-term-hub.com/en/terms/%E5%9B%BE%E5%83%8F%E4%BF%AE%E5%A4%8D-image-restoration/">图像修复 (Image restoration)&lt;/a>&lt;/li>
&lt;/ul></description></item></channel></rss>