Efficient Specular Glints Rendering With Differentiable Regularization
| Autor: | Jiahui Fan, Beibei Wang, Wenshi Wu, Miloš Hašan, Jian Yang, Ling-Qi Yan |
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| Rok vydání: | 2023 |
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| Zdroj: | IEEE Transactions on Visualization and Computer Graphics. 29:2940-2949 |
| ISSN: | 2160-9306 1077-2626 |
| DOI: | 10.1109/tvcg.2022.3144479 |
| Popis: | Rendering glinty details from specular microstructure enhances the level of realism in computer graphics. However, naive sampling fails to render such effects, due to insufficient sampling of the contributing normals on the surface patch visible through a pixel. Other approaches resort to searching for the relevant normals in more explicit ways, but they rely on special acceleration structures, leading to increased storage costs and complexity. In this paper, we propose to render specular glints through a different method: differentiable regularization. Our method includes two steps: first, we use differentiable path tracing to render a scene with a larger light size and/or rougher surfaces and record the gradients with respect to light size and roughness. Next, we use the result for the larger light size and rougher surfaces, together with their gradients, to predict the target value for the required light size and roughness by extrapolation. In the end, we get significantly reduced noise compared to rendering the scene directly. Our results are close to the reference, which uses many more samples per pixel. Although our method is biased, the overhead for differentiable rendering and prediction is negligible, so our improvement is essentially free. We demonstrate our differentiable regularization on several normal maps, all of which benefit from the method. |
| Databáze: | OpenAIRE |
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