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xiao10ma committed Sep 1, 2024
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<li><strong>大致流程</strong><br> 首先，用SfM求得点云，初始化为3D gaussians，根据Camera的外参作投影。接着做光栅化，最终渲染得到图像。训练时，基于和GT的loss，沿蓝色箭头反向传播。Differentiable tile rasterizer往左的两个箭头：上面的是更新3D gaussians的参数；下面进行自适应密度进行控制更新3D gaussians的个数。</li>
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<p>sad，深夜写博客被家里抓了。。。先睡了。。明天加油。。。</p>
</article><div class="post-copyright"><div class="post-copyright__author"><span class="post-copyright-meta"><i class="fas fa-circle-user fa-fw"></i>Author: </span><span class="post-copyright-info"><a href="https://xiao10ma.github.io">Ma ZiPei</a></span></div><div class="post-copyright__type"><span class="post-copyright-meta"><i class="fas fa-square-arrow-up-right fa-fw"></i>Link: </span><span class="post-copyright-info"><a href="https://xiao10ma.github.io/2024/01/24/%E5%AF%92%E5%81%87day1/">https://xiao10ma.github.io/2024/01/24/寒假day1/</a></span></div><div class="post-copyright__notice"><span class="post-copyright-meta"><i class="fas fa-circle-exclamation fa-fw"></i>Copyright Notice: </span><span class="post-copyright-info">All articles in this blog are licensed under <a target="_blank" rel="noopener" href="https://creativecommons.org/licenses/by-nc-sa/4.0/">CC BY-NC-SA 4.0</a> unless stating additionally.</span></div></div><div class="tag_share"><div class="post-meta__tag-list"><a 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