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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="description"
content="LuisaRender: A High-Performance Rendering Framework with Layered and Unified Interfaces on Stream Architectures">
<meta name="keywords" content="Ray tracing; Domain-specific languages; Rendering framework">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>LuisaRender</title>
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</head>
<body>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">LuisaRender: A High-Performance Rendering Framework with Layered and Unified Interfaces on Stream Architectures</h1>
<div class="is-size-3 publication-authors" style="margin-bottom: 0.5em;">
<span style="font-weight: bolder;">SIGGRAPH Asia 2022</span>
<br>
<span class="is-size-4">(Journal Track)</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">
Shaokun Zheng<sup>1</sup>,</span>
<span class="author-block">
Zhiqian Zhou<sup>1</sup>,</span>
<span class="author-block">
Xin Chen<sup>1</sup>,
</span>
<span class="author-block">
Difei Yan<sup>1</sup>,
</span>
<span class="author-block">
Chuyan Zhang<sup>1</sup>,
</span>
<span class="author-block">
Yuefeng Geng<sup>2</sup>,
</span>
<span class="author-block">
<a href="https://www.cs.ucr.edu/~ygu/">Yan Gu</a><sup>3</sup>,
</span>
<span class="author-block">
<a href="https://cg.cs.tsinghua.edu.cn/people/~kun/">Kun Xu</a><sup>1</sup>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>Tsinghua University, </span>
<span class="author-block"><sup>2</sup>Recreate Games, </span>
<span class="author-block"><sup>3</sup>University of California, Riverside</span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<!-- PDF Link. -->
<span class="link-block">
<a href="./static/paper/paper.pdf"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Paper (43MB)</span>
</a>
</span>
<span class="link-block">
<a href="https://doi.org/10.1145/3550454.3555463"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="ai ai-doi"></i>
</span>
<span>doi</span>
</a>
</span>
<!-- Code Link. -->
<span class="link-block">
<a href="https://github.com/LuisaGroup/LuisaCompute"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
<!-- Dataset Link. -->
<span class="link-block">
<a href="https://github.com/LuisaGroup/LuisaRenderScenes"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-landmark"></i>
</span>
<span>Scenes</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<img id="teaser" src="static/images/teaser.jpg"/>
<h2 class="subtitle has-text-centered">
LuisaRender is a high-performance rendering framework on stream architectures.
</h2>
</div>
</div>
</section>
<section class="section">
<div class="container is-max-desktop">
<!-- Abstract. -->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
The advancements in hardware have drawn more attention than ever to high-quality offline rendering with modern stream processors,
both in the industry and in research fields. However, the graphics APIs are fragmented and existing shading languages lack high-level constructs such as polymorphism, which adds complexity to developing and maintaining cross-platform high-performance renderers.
We present LuisaRender,
a high-performance rendering framework for modern stream-architecture hardware.
Our main contribution is an expressive C++-embedded DSL for kernel programming with JIT code generation and compilation. We also implement
a unified runtime layer with resource wrappers and an optimized Monte Carlo renderer.
Experiments on test scenes show that LuisaRender achieves much higher performance than existing research renderers on modern graphics
hardware.
</div>
</div>
</div>
<!--/ Abstract. -->
</div>
</section>
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@article{Zheng2022LuisaRender,
author = {Zheng, Shaokun and Zhou, Zhiqian and Chen, Xin and Yan, Difei and Zhang, Chuyan and Geng, Yuefeng and Gu, Yan and Xu, Kun},
title = {LuisaRender: A High-Performance Rendering Framework with Layered and Unified Interfaces on Stream Architectures},
year = {2022},
issue_date = {December 2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {41},
number = {6},
issn = {0730-0301},
url = {https://doi.org/10.1145/3550454.3555463},
doi = {10.1145/3550454.3555463},
journal = {ACM Trans. Graph.},
month = {nov},
articleno = {232},
numpages = {19},
keywords = {stream architecture, rendering framework, cross-platform renderer}
}</code></pre>
</div>
</section>
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