Transient instant radiosity for efficient time-resolved global illumination
| Autor: | Victor Arellano, Xian Pan, Adrian Jarabo |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Transient state
Pixel Computer science Global illumination ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Computer Graphics and Computer-Aided Design Rendering (computer graphics) Visualization Computational science Human-Computer Interaction Computer graphics Picosecond Temporal resolution ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Computers & Graphics |
| ISSN: | 0097-8493 |
| DOI: | 10.1016/j.cag.2019.07.009 |
| Popis: | Over the last decade, transient imaging has had a major impact in the area of computer graphics and computer vision. The hability of analyzing light propagation at picosecond resolution has enabled a variety of applications such as non-line of sight imaging, vision through turbid media, or visualization of light in motion. However, despite the improvements in capture at such temporal resolution, existing rendering methods are still very time-consuming, requiring a large number of samples to converge to noise-free solutions, therefore limiting the applicability of such simulations. In this work, we generalize instant radiosity, which is very suitable for parallelism in the GPU, to transient state. First, we derive it from the transient path integral, including propagation and scattering delays. Then, we propose an efficient implemention on the GPU, and demonstrate interactive transient rendering with hundreds of thousands of samples per pixel to produce noiseless time-resolved renders. |
| Databáze: | OpenAIRE |
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