ToF ReSTIR: Time-of-Flight Rendering with Spatio-temporal Reservoir Resampling
Juhyeon Kim, Wojciech Jarosz, Adithya Pediredla
摘要
We present a novel spatio-temporal reuse framework for time-resolved light transport, enabling efficient Monte Carlo rendering of time-of-flight (ToF) phenomena such as time-gated imaging and transient light capture. Existing ToF rendering methods are computationally expensive, scale poorly to complex dynamic scenes, and are therefore unsuitable for applications with strict latency constraints. To address this limitation, we draw inspiration from ReSTIR , a reuse-based technique for steady-state real-time rendering, and adapt its core principles to interactive-rate ToF simulation. However, naively applying existing ReSTIR methods to ToF rendering leads to severe inefficiency, as reused paths frequently violate optical path-length constraints and thus contribute little or no signal. We overcome this challenge by introducing a path reuse formulation that explicitly enforces physically valid optical path lengths. The key idea is path-length-aware shift mapping , a geometric transformation based on Newton's method that adjusts reused light paths to satisfy temporal gating constraints, inspired by specular manifold exploration in steady-state caustics rendering. The resulting framework substantially improves the efficiency of ToF rendering across a wide range of scenarios, including complex scenes with glossy or specular materials and dynamic motion. Our method supports both time-gated and transient rendering at interactive frame rates, enabling simulation under practical latency constraints. We demonstrate the effectiveness of our approach through two downstream applications, including shape reconstruction and navigation.
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它引用的顶会 Paper6
- Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lightingBenedikt Bitterli, Chris Wyman, Matt Pharr, Peter Shirley 等SIGGRAPH 2020 · 被引用 168 次
- Generalized resampled importance sampling: foundations of ReSTIRDaqi Lin, Markus Kettunen, Benedikt Bitterli, Jacopo Pantaleoni 等SIGGRAPH 2022 · 被引用 72 次
- Specular manifold sampling for rendering high-frequency caustics and glintsTizian Zeltner, Iliyan Georgiev, Wenzel JakobSIGGRAPH 2020 · 被引用 49 次
- Area ReSTIR: Resampling for Real-Time Defocus and AntialiasingSong Zhang, Daqi Lin, Markus Kettunen, Cem Yuksel 等SIGGRAPH 2024 · 被引用 16 次
- Reservoir Splatting for Temporal Path Resampling and Motion BlurJeffrey Liu, Daqi Lin, Markus Kettunen, Chris Wyman 等SIGGRAPH 2025 · 被引用 4 次
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