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SIGGRAPH 2026Efficient Sampling: ReSTIR and More

Real-Time Level-of-Detail rendering with ReSTIR

Yu-Chen Wang, Markus Kettunen 0001, Daqi Lin, Chris Wyman, Lifan Wu, Shuang Zhao

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.1145/3799902.3811100 ↗

摘要

Rendering complex scenes in real time remains challenging due to strict performance constraints. Geometric level of detail (LoD) is widely used to reduce cost by replacing high-frequency geometry with prefiltered representations. ReSTIR significantly improves real-time rendering quality by reusing samples across space and time; however, its effectiveness degrades in the presence of complex geometry, where high-frequency detail reduces reuse efficiency. Moreover, prior ReSTIR methods require the same mesh topology across frames, causing sample reuse to break when switching LoD. In this paper, we introduce a surface point mapping that enables sample reuse across frames containing meshes with different topologies. Building on our method, we enable LoD-aware ReSTIR by maintaining valid spatiotemporal reuse under geometry LoD changes. Our approach restores reuse efficiency in LoD scenes and significantly improves rendering quality compared to prior ReSTIR methods.