Temporal vectorized visibility for direct illumination of animated models

IF 17.3 3区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Zhenni Wang, Tze Yui Ho, Yi Xiao, Chi Sing Leung
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引用次数: 0

Abstract

Direct illumination rendering is an important technique in computer graphics. Precomputed radiance transfer algorithms can provide high quality rendering results in real time, but they can only support rigid models. On the other hand, ray tracing algorithms are flexible and can gracefully handle animated models. With NVIDIA RTX and the AI denoiser, we can use ray tracing algorithms to render visually appealing results in real time. Visually appealing though, they can deviate from the actual one considerably. We propose a visibility-boundary edge oriented infinite triangle bounding volume hierarchy (BVH) traversal algorithm to dynamically generate visibility in vector form. Our algorithm utilizes the properties of visibility-boundary edges and infinite triangle BVH traversal to maximize the efficiency of the vector form visibility generation. A novel data structure, temporal vectorized visibility, is proposed, which allows visibility in vector form to be shared across time and further increases the generation efficiency. Our algorithm can efficiently render close-to-reference direct illumination results. With the similar processing time, it provides a visual quality improvement around 10 dB in terms of peak signal-to-noise ratio (PSNR) w.r.t. the ray tracing algorithm reservoir-based spatiotemporal importance resampling (ReSTIR).

Abstract Image

用于动画模型直接照明的时间矢量化可见度
直接光照渲染是计算机图形学中的一项重要技术。预计算辐射传递算法可以实时提供高质量的渲染效果,但只能支持刚性模型。另一方面,光线追踪算法非常灵活,可以优雅地处理动画模型。借助英伟达™ RTX 和人工智能去噪器,我们可以使用光线追踪算法实时渲染出具有视觉吸引力的效果。虽然视觉效果吸引人,但它们可能与实际效果有很大偏差。我们提出了一种以可见性边界边缘为导向的无限三角形边界体层次结构(BVH)遍历算法,以矢量形式动态生成可见性。我们的算法利用可见性边界边和无限三角形边界体积层次遍历的特性,最大限度地提高了矢量形式可见性生成的效率。我们还提出了一种新颖的数据结构--时间矢量化可见性,它允许矢量形式的可见性跨时间共享,并进一步提高了生成效率。我们的算法可以高效地呈现接近参考的直接光照结果。与基于水库的时空重要性重采样(ReSTIR)的光线跟踪算法相比,在处理时间相近的情况下,该算法的峰值信噪比(PSNR)提高了约 10 dB。
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来源期刊
Computational Visual Media
Computational Visual Media Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
16.90
自引率
5.80%
发文量
243
审稿时长
6 weeks
期刊介绍: Computational Visual Media is a peer-reviewed open access journal. It publishes original high-quality research papers and significant review articles on novel ideas, methods, and systems relevant to visual media. Computational Visual Media publishes articles that focus on, but are not limited to, the following areas: • Editing and composition of visual media • Geometric computing for images and video • Geometry modeling and processing • Machine learning for visual media • Physically based animation • Realistic rendering • Recognition and understanding of visual media • Visual computing for robotics • Visualization and visual analytics Other interdisciplinary research into visual media that combines aspects of computer graphics, computer vision, image and video processing, geometric computing, and machine learning is also within the journal''s scope. This is an open access journal, published quarterly by Tsinghua University Press and Springer. The open access fees (article-processing charges) are fully sponsored by Tsinghua University, China. Authors can publish in the journal without any additional charges.
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