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Denoising Production Volumetric Rendering Shilin Zhu, Xianyao Zhang, Gerhard Rothlin, Marios Papas, Mark Meyer May 2023 Denoising is an integral part of production rendering pipelines that use Monte-Carlo (MC) path tracing. Machine learning based denoisers have been proven to effectively remove the residual noise and produce a clean image. However, denoising volumetric rendering remains a problem due to the lack of useful features and large-scale volume ... more Paper (PDF) SIGGRAPH Talks 2023 |
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Denoising Deep Pixels for Deep Compositing Shilin Zhu, Mark Meyer July 2024 Denoising path traced images is essential in the production rendering pipeline. Existing denoisers only apply to 2D flat images, which introduces challenges in the compositing stage where multiple rendered components are combined together to produce the final look. In recent years, deep image has become more popular and preferable in ... more Paper (PDF) Technical Report |