https://rubatotree.github.io/blog/tags/rendering/Recent content in Rendering on Umbrella Coffeehttps://rubatotree.github.io/blog/images/og-default.pnghttps://rubatotree.github.io/blog/images/og-default.pngHugoen-usSun, 07 Jun 2026 00:00:00 +0800https://rubatotree.github.io/blog/posts/embodied-notes-2/Sun, 07 Jun 2026 00:00:00 +0800https://rubatotree.github.io/blog/posts/embodied-notes-2/<p class="typst-parbreak"></p> <div style="display: grid; place-items: start center;"> <figure> <div style="display: grid; place-items: start center;"><img src="https://rubatotree.github.io/blog/images/embodied-notes-2/teaser.png" alt loading="lazy"></div> <div style="display: grid; place-items: start center;"> <figcaption>图 1 玩音乐的最终归宿是转行具身智能。<a id="loc-1" href="#loc-3" role="doc-biblioref">[1]</a></figcaption> </div> </figure> </div> <p class="typst-parbreak"></p> <p>TODO</p> <div class="toc" style="display: none"><details><summary>Table of Contents</summary><div><nav role="doc-toc"><ol style="list-style-type: none"><li><p></p><ul><li><a href="#loc-2">References</a></li></ul><p></p></li></ol></nav></div></details></div> <section role="doc-bibliography"> <h2 id="loc-2">References</h2> <ul style="list-style-type: none"> <li id="loc-3"><span class="prefix"><a href="#loc-1" role="doc-backlink">[1]</a></span> 山下清悟, “超かぐや姫！.” [Online]. Available: <a href="https://www.netflix.com/title/81756595" target="_blank" rel="noopener noreferrer"><span style="color: #59a4ff;"><span style="text-decoration: underline">https://www.netflix.com/title/81756595</span></span></a></li> <li><span class="prefix">[2]</span> J. Park and H. Kang, “RenderMem: Rendering as Spatial Memory Retrieval.” [Online]. Available: <a href="https://arxiv.org/abs/2603.14669" target="_blank" rel="noopener noreferrer"><span style="color: #59a4ff;"><span style="text-decoration: underline">https://arxiv.org/abs/2603.14669</span></span></a></li> <li><span class="prefix">[3]</span> R. I. C. Muchacho and F. T. Pokorny, “Walk on Spheres for PDE-based Path Planning.” [Online]. Available: <a href="https://arxiv.org/abs/2406.01713" target="_blank" rel="noopener noreferrer"><span style="color: #59a4ff;"><span style="text-decoration: underline">https://arxiv.org/abs/2406.01713</span></span></a></li> <li><span class="prefix">[4]</span> C. Jambon, M. S. Nabizadeh, and M. Konaković Luković, “Walk on Decomposed Subdomains: A Hybrid Monte Carlo–Deterministic Solver for Elliptic PDEs,” <em>ACM Trans. Graph.</em>, vol. 45, no. 4, July 2026, doi: <a href="https://doi.org/10.1145/3811340" target="_blank" rel="noopener noreferrer"><span style="color: #59a4ff;"><span style="text-decoration: underline">10.1145/3811340</span></span></a>.</li> <li><span class="prefix">[5]</span> Heskey0, “具身智能 - 9 个方向讲透 2025-2026 灵巧手智能.” [Online]. Available: <a href="https://zhuanlan.zhihu.com/p/2046746760459171551" target="_blank" rel="noopener noreferrer"><span style="color: #59a4ff;"><span style="text-decoration: underline">https://zhuanlan.zhihu.com/p/2046746760459171551</span></span></a></li> </ul> </section>https://rubatotree.github.io/blog/posts/sig26-paper-notes-2/Thu, 28 May 2026 00:00:00 +0800https://rubatotree.github.io/blog/posts/sig26-paper-notes-2/<h2 id="loc-1">1. 材质，外观，可微渲染</h2> <h3 id="loc-2">Fiber-level Woven Fabric Capture from a Single Microscopic Image <a id="loc-3" href="#loc-18" role="doc-biblioref">[1]</a></h3> <img src="https://rubatotree.github.io/blog/images/sig26-paper-notes/FiberLevel.png" alt loading="lazy"> <p><em>另一位助教 <a href="https://jerry-shen0527.github.io/" target="_blank" rel="noopener noreferrer"><span style="color: #59a4ff;"><span style="text-decoration: underline">@JerryShen</span></span></a> 的文章之一。这篇没有上 Sig26，只是录进了 ToG，但也放在这里。</em></p> <p>从单张显微图像通过可微渲染重建织物的纤维级几何和材质。</p> <p>对于几何建模了基本可微的五层结构：</p> <p></p> <ul> <li>编织模式 Pattern：平纹、斜纹等纹理模式，直接预设好，用预训练的 CNN 分类；</li> <li>中心线层 Yarn Centerline：每根纤维从侧面看高度关于路径长度的函数，用抛物线和圆混合；</li> <li>纤维截面层 Cross-sectional Fiber Distribution：在中心线周围生成 <span role="math"><svg class="typst-frame" style="overflow: visible; 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