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	<title>ReSTIR &#8211; Blog Sketch</title>
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		<title>采样技巧和 ReSTIR 渲染算法</title>
		<link>https://blog.ziaowang.top/2024/09/16/sample-technique-render-eqn-restir/</link>
					<comments>https://blog.ziaowang.top/2024/09/16/sample-technique-render-eqn-restir/#respond</comments>
		
		<dc:creator><![CDATA[wponaws]]></dc:creator>
		<pubDate>Mon, 16 Sep 2024 00:15:51 +0000</pubDate>
				<category><![CDATA[技术笔记]]></category>
		<category><![CDATA[importance-resampling]]></category>
		<category><![CDATA[reservior-sampling]]></category>
		<category><![CDATA[ReSTIR]]></category>
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					<description><![CDATA[<p>本文是 ReSTIR DI 算法的一些前置知识和论文阅读笔记</p>



<p>更新策略：直接修改本文内容</p>



<h2 class="wp-block-heading">关于采样技巧</h2>



<h3 class="wp-block-heading">蒙特卡洛积分和重要性采样</h3>



<p>蒙特卡洛积分是通过采样来估算积分的方法：</p>



<pre class="wp-block-code"><code>\int_x f(x)dx = 1/N \Sigma_{i=1}^N f(x_i)/p(x_i), x_i~p(x_i)</code></pre>



<p>一个性质是，当样本的分布 p 接近 f 的形状时，估计值的方差就小；当&#8230;</p>]]></description>
										<content:encoded><![CDATA[<p>本文是 ReSTIR DI 算法的一些前置知识和论文阅读笔记</p>



<p>更新策略：直接修改本文内容</p>



<h2 class="wp-block-heading">关于采样技巧</h2>



<h3 class="wp-block-heading">蒙特卡洛积分和重要性采样</h3>



<p>蒙特卡洛积分是通过采样来估算积分的方法：</p>



<pre class="wp-block-code"><code>\int_x f(x)dx = 1/N \Sigma_{i=1}^N f(x_i)/p(x_i), x_i~p(x_i)</code></pre>



<p>一个性质是，当样本的分布 p 接近 f 的形状时，估计值的方差就小；当&hellip;</p>]]></content:encoded>
					
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